{
  "data": {
    "a": {
      "slug": "cloudflare-workers-ai",
      "name": "Cloudflare Workers AI",
      "vendor": "Cloudflare, Inc.",
      "vendorUrl": "https://www.cloudflare.com",
      "kind": "model",
      "category": "inference",
      "summary": "Workers AI is Cloudflare's serverless inference service for open-weight models, covering text generation, embeddings, images and speech. Agents call it through the Cloudflare REST API, OpenAI-compatible endpoints or a Workers binding.",
      "url": "https://www.anchorterminal.com/tools/cloudflare-workers-ai",
      "markdownUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json",
      "dns": "cloudflare-workers-ai.grade.anchorterminal.com",
      "repo": "https://github.com/cloudflare/api-schemas",
      "license": "Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai",
      "packages": [
        {
          "registry": "npm",
          "name": "workers-ai-provider"
        },
        {
          "registry": "npm",
          "name": "cloudflare"
        },
        {
          "registry": "pypi",
          "name": "cloudflare"
        }
      ],
      "auth": "api-key",
      "authNotes": "A Cloudflare API token as a Bearer header, created by a person in the dashboard, with the Workers AI Read or Workers AI Edit permission on an account. Tokens can carry an expiry and an IP address filter. Inside a Worker the `AI` binding needs no token. The API reference also accepts the older global API key with an account email. Later tokens can be created through the API with an existing token.",
      "pricing": "freemium",
      "pricingNotes": "$0.011 per 1,000 neurons, shown per model as token, image or audio prices, for example Gemma 4 26B at $0.10 in and $0.30 out per 1M tokens. 10,000 neurons a day are free on the Workers Free and Paid plans, and going past that needs Workers Paid, from $5 a month. Eight frontier models need Workers Paid or prepaid AI Gateway credits. A Free plan account starts without a contract (https://developers.cloudflare.com/workers-ai/platform/pricing/, checked 2026-11-01).",
      "priceSummary": "from $0.0605 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "partial",
        "evidence": "AI Gateway Machine Payments, in beta since 30 September 2026, takes x402 payment on `POST /ai/run` for four open models when the request carries `Payment-Method: x402`. It needs a Cloudflare API token, a United States account and a card on file. The per-model route `/ai/run/{model_name}` and the OpenAI-style routes are not covered. We did not call it (https://developers.cloudflare.com/ai-gateway/features/machine-payments/, checked 2026-10-09).",
        "endpoints": [
          {
            "url": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run",
            "priceUsd": null,
            "network": ""
          }
        ]
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 379824,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://developers.cloudflare.com/workers-ai/",
      "rateLimitsUrl": "https://developers.cloudflare.com/workers-ai/platform/limits/",
      "llmsTxt": "https://developers.cloudflare.com/workers-ai/llms.txt",
      "openapi": "https://raw.githubusercontent.com/cloudflare/api-schemas/main/openapi.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "embed.text",
        "rerank",
        "image.generate",
        "speech.stt",
        "speech.tts",
        "compute.batch"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "free-tier",
        "x402",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "batch",
        "prompt-caching",
        "typescript",
        "python",
        "go",
        "status-page",
        "bug-bounty"
      ],
      "lastRelease": "2026-10-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.2,
        "grade": "B",
        "agentReady": false,
        "rank": 256,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 10,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 75,
          "maintenance": 72,
          "payments": 52,
          "reliability": 68,
          "schema": 80,
          "security": 80,
          "transparency": 76
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-01"
        },
        "negative": -3,
        "negativeNotes": [
          "28 July 2026. Kimi K2.6, Kimi K2.7 Code and GLM-5.2 began returning 403 (code 5035) on the Workers Free plan on the day of the notice, with no advance warning found. Three points (https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/)."
        ],
        "verdict": "Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.",
        "bestFor": "Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.",
        "strengths": [
          "Per-model token prices, cached-input prices and neuron rates are published without a login, with 10,000 neurons a day free on the Workers Free plan",
          "x402 payment (Machine Payments, beta since 30 September 2026) works on `POST /ai/run` for four open models",
          "Rate limits are published per task type, and a 429 separates a spent free allocation (3036) from capacity (3040)",
          "API tokens are limited to Workers AI permissions on an account, with optional expiry and IP address filtering",
          "Cloudflare states ISO 27001, 27018 and 27701 certification for its global cloud platform, and security.txt points to a HackerOne programme"
        ],
        "weaknesses": [
          "No SLA for Workers AI was found in the docs or the agreements read",
          "Three models moved to paid-only access on 28 July 2026, the day of the notice, and Free plan calls to them return 403",
          "Eighteen models were retired on 30 May 2026 with 22 days' notice, and no minimum notice period is published",
          "The REST quick start and the OpenAI-compatibility page still name `@cf/meta/llama-3.1-8b-instruct`, which is on the 30 May 2026 retirement list",
          "The x402 route still needs a Cloudflare API token, a United States account and a card on file"
        ],
        "agentNotes": [
          "Check the model page before calling. Eight models need Workers Paid or AI Gateway credits and return 403 with code 5035 on the Free plan",
          "Read the internal code on a 429. 3036 means the day's 10,000 free neurons are spent until 00:00 UTC, 3040 means capacity, so retry later",
          "Set `options.rejectIfBusy` to fail fast, or add `?queueRequest=true` for the batch route when the answer can wait",
          "Send the same `x-session-affinity` value on every turn of a session to reach the prefix cache and the cached-input price",
          "Use `createAI` from `agents/models/ai-sdk` for the Vercel AI SDK. `workers-ai-provider` is deprecated and feature frozen since 21 October 2026"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 69.2
          }
        ],
        "editorialScores": {
          "ergonomics": 75,
          "maintenance": 72,
          "payments": 52,
          "reliability": 68,
          "schema": 80,
          "security": 80,
          "transparency": 56
        },
        "provenanceScore": 96,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-01",
            "maintenance": "2026-11-01",
            "payments": "2026-11-01",
            "reliability": "2026-11-01",
            "schema": "2026-11-01",
            "security": "2026-11-01",
            "transparency": "2026-11-01"
          },
          "last": "2026-11-01",
          "lastMoved": "2026-11-01",
          "oldest": "2026-11-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/google/gemma-4-26b-a4b-it \\\n  -X POST \\\n  -H \"Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN\" \\\n  -d '{ \"messages\": [{ \"role\": \"system\", \"content\": \"You are a friendly assistant\" }, { \"role\": \"user\", \"content\": \"Why is pizza so good\" }]}'",
        "x402": "curl -iX POST \"https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run\" \\\n  --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n  --header \"Payment-Method: x402\" \\\n  --header \"Content-Type: application/json\" \\\n  --data '{\"model\":\"z-ai/glm-4.7-flash\",\"input\":{\"messages\":[{\"role\":\"user\",\"content\":\"What is Cloudflare?\"}]}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/cloudflare-workers-ai"
      },
      "sameCompany": [
        "cloudflare-ai-gateway",
        "cloudflare-sandbox-sdk",
        "cloudflare-workers-oauth-provider",
        "cloudflare-web-search",
        "cloudflare-clairic",
        "cloudflare-ai-search",
        "cloudflare-cli",
        "cloudflare-mcp",
        "cloudflare-email-service",
        "cloudflare-r2",
        "cloudflare-clef"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Whisper large v3 turbo, speech to text",
          "unit": "audio-minute",
          "usd": 0.0005,
          "note": "46.63 neurons"
        },
        {
          "item": "Deepgram Nova-3, speech to text",
          "unit": "audio-minute",
          "usd": 0.0052,
          "note": "472.73 neurons. $0.0092 over WebSocket"
        },
        {
          "item": "Deepgram Aura-1, text to speech",
          "unit": "1m-chars",
          "usd": 15,
          "note": "listed as $0.015 per 1,000 characters"
        },
        {
          "item": "Deepgram Aura-2, text to speech",
          "unit": "1m-chars",
          "usd": 30,
          "note": "listed as $0.030 per 1,000 characters, English and Spanish"
        }
      ],
      "provenance": {
        "legalEntity": "Cloudflare, Inc.",
        "domain": "cloudflare.com",
        "domainRegistered": "2009-02-17",
        "endpointOnVendorDomain": true,
        "terms": "https://www.cloudflare.com/terms/",
        "privacy": "https://www.cloudflare.com/privacypolicy/",
        "statusPage": "https://www.cloudflarestatus.com",
        "changelog": "https://developers.cloudflare.com/changelog/product/workers-ai/",
        "securityTxt": "valid",
        "checked": "2026-11-01",
        "notes": [
          "Terms are the Self-Serve Subscription Agreement, last updated 12 September 2025, which names Cloudflare, Inc. at 101 Townsend St, San Francisco. The Workers AI data usage page cites it and the Enterprise Subscription Agreement as the governing documents.",
          "The service-specific terms (https://www.cloudflare.com/service-specific-terms-developer-platform/), last updated 28 September 2026, have a section for Workers AI and AI Gateway that supplements the agreement.",
          "The privacy policy is effective from 4 November 2025.",
          "www.cloudflare.com/.well-known/security.txt, re-read on 1 November 2026, names HackerOne and a disclosure policy and has no Expires field. It is recorded as valid to match the other Cloudflare listings.",
          "The endpoint is on api.cloudflare.com.",
          "The status page lists Workers AI as its own component. Its only incident from 16 to 31 October 2026 had impact none.",
          "RDAP for cloudflare.com gives a registration date of 2009-02-17.",
          "The Workers AI changelog page (https://developers.cloudflare.com/workers-ai/changelog/) still stops at 16 June 2026 on 1 November, so the product changelog is recorded."
        ],
        "score": 96
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.json",
      "live": {
        "slug": "cloudflare-workers-ai",
        "probe": {
          "target": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai",
          "method": "get",
          "lastAt": "2026-11-07T19:22:00.132581356Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 74,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 19,
          "p95ms24h": 58,
          "samples24h": 238,
          "samples30d": 7215,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 85,
              "ok": 85
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 255,
              "ok": 255
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-22",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-23",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-24",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-25",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-26",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-27",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-28",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-29",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-30",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-31",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-11-01",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-11-02",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-11-03",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-11-04",
              "probes": 246,
              "ok": 246
            },
            {
              "date": "2026-11-05",
              "probes": 185,
              "ok": 185
            },
            {
              "date": "2026-11-06",
              "probes": 241,
              "ok": 241
            },
            {
              "date": "2026-11-07",
              "probes": 197,
              "ok": 197
            }
          ]
        },
        "vendorStatus": {
          "page": "https://www.cloudflarestatus.com",
          "indicator": "major",
          "summary": "Partial System Outage",
          "checkedAt": "2026-11-07T19:21:24.458795417Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "cloudflare",
            "version": "7.3.0",
            "seenAt": "2026-11-06T23:15:59.829623123Z"
          },
          {
            "registry": "npm",
            "name": "workers-ai-provider",
            "version": "4.0.1",
            "seenAt": "2026-11-06T23:15:59.61383182Z"
          },
          {
            "registry": "pypi",
            "name": "cloudflare",
            "version": "5.10.0",
            "released": "2026-11-05",
            "seenAt": "2026-11-06T23:16:01.629694758Z"
          }
        ],
        "githubStars": 202,
        "npmWeekly": 653727,
        "pypiWeekly": 584250,
        "securityTxt": {
          "url": "https://cloudflare.com/.well-known/security.txt",
          "state": "valid",
          "checkedAt": "2026-11-07T16:00:23.467095484Z"
        },
        "llmsTxt": {
          "url": "https://developers.cloudflare.com/workers-ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:32:11.031125667Z"
        },
        "domain": {
          "domain": "cloudflare.com",
          "registered": "2009-02-17",
          "source": "https://rdap.verisign.com/com/v1/domain/cloudflare.com",
          "checkedAt": "2026-11-01T14:18:56.122446983Z"
        },
        "pages": [
          {
            "url": "https://developers.cloudflare.com/changelog/product/workers-ai/",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-19T23:54:54.235989073Z",
            "changedAt": "2026-10-19T23:54:54.235989073Z",
            "fingerprint": "4c2480e76a2d"
          },
          {
            "url": "https://developers.cloudflare.com/changelog/post/2026-05-08-planned-model-deprecations/",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-07T14:03:54.861936558Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "456d5c31e53a"
          },
          {
            "url": "https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-07T14:03:56.74227481Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "23663c817503"
          }
        ],
        "github": {
          "repo": "cloudflare/api-schemas",
          "checkedAt": "2026-11-02T08:39:44.484301185Z",
          "stars": 202,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-30T20:37:16Z",
          "openIssues": 13,
          "openPRs": 1,
          "issuesOpened90d": 10,
          "issuesClosed90d": 1,
          "prsMerged90d": 0,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 50,
            "failure": 0,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-10-30T20:40:13Z"
          },
          "replies": {
            "sampled": 14,
            "unanswered": 13,
            "medianDays": 0
          }
        },
        "updatedAt": "2026-11-07T19:22:00.132581356Z"
      }
    },
    "answer": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 4 of 7 scored categories.",
    "b": {
      "slug": "eden-ai",
      "name": "Eden AI",
      "vendor": "Eden AI SAS",
      "vendorUrl": "https://www.edenai.co",
      "kind": "router",
      "category": "inference",
      "summary": "Eden AI is a French AI gateway with one OpenAI-compatible API key for about 1,000 chat and expert models from 80 or more providers, including OCR, speech, translation and image analysis, with an EU-only endpoint and a hosted MCP server.",
      "url": "https://www.anchorterminal.com/tools/eden-ai",
      "markdownUrl": "https://www.anchorterminal.com/tools/eden-ai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/eden-ai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/eden-ai.json",
      "dns": "eden-ai.grade.anchorterminal.com",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://mcp.edenai.run/mcp",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Bearer key created in the dashboard at app.edenai.run after a browser signup. Keys carry budgets, expiry and attribution, can be managed through a key API, and can be limited to chosen models by deny-by-default guardrails. The MCP server takes the same key in the Authorization header.",
      "pricing": "usage",
      "pricingNotes": "Provider list prices with no markup plus a 5.5% platform fee applied when buying credits. Prepaid credits through Stripe by card, PayPal or bank transfer, with optional auto-refill. Some models are billed $0 for tests. The Advanced plan is by quote.",
      "priceSummary": "5.5% fee",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in llms.txt, the OpenAPI spec, the pricing pages or the agent catalogue (checked 2026-11-06). Credits are bought through Stripe.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://www.edenai.co/docs",
      "llmsTxt": "https://www.edenai.co/llms.txt",
      "openapi": "https://api.edenai.run/v3/docs/openapi.json",
      "capabilities": [
        "inference.router",
        "inference.llm",
        "embed.text",
        "translate.text",
        "translate.documents",
        "docs.ocr",
        "speech.stt",
        "speech.tts",
        "image.generate",
        "guard.moderation"
      ],
      "tags": [
        "hosted",
        "router",
        "openai-compatible",
        "usage-priced",
        "prepaid",
        "mcp",
        "remote-mcp",
        "api-key",
        "llms-txt",
        "openapi",
        "eu",
        "eu-region",
        "soc2",
        "iso27001",
        "batch",
        "closed-source"
      ],
      "lastRelease": "2026-11-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59.9,
        "grade": "C",
        "agentReady": false,
        "rank": 675,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 22,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 75,
          "maintenance": 58,
          "payments": 30,
          "reliability": 33,
          "schema": 81,
          "security": 82,
          "transparency": 55
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": 0,
        "verdict": "Eden AI gives one OpenAI-compatible key to about 1,000 models and expert models such as OCR, speech and translation, with an EU-only endpoint, per-key guardrails and no stored content by default. No status page, SLA or changelog was found, and its own pages disagree on the default rate limit.",
        "bestFor": "Teams that want one key and bill for many LLMs plus OCR, speech, translation and web tools, with EU-only processing.",
        "strengths": [
          "OpenAI-compatible v3 API with an OpenAPI 3.1 spec and a keyless model catalogue with prices and regions",
          "EU endpoint that refuses models not cleared for European processing with HTTP 451",
          "Content isn't stored or used for training by default, with opt-in logs and enforceable Zero Data Retention",
          "Per-key budgets, expiry and deny-by-default guardrails, plus a key management API",
          "Hosted MCP server exposing OCR, speech, translation, web search and other expert models as tools"
        ],
        "weaknesses": [
          "No public status page, incident history or SLA found",
          "The rate-limits page says 10 requests a second and the plans page says 7, raisable to 15",
          "No public changelog or deprecation policy",
          "The OpenAPI spec documents few error responses",
          "Credits are prepaid through Stripe with a 5.5% platform fee on every purchase"
        ],
        "agentNotes": [
          "Read GET https://api.edenai.run/v3/models at run time for model ids, prices and regions instead of hard-coding them",
          "Use https://api.eu.edenai.run/v3 when data must stay in the EU, and pick another model on a 451 region_not_allowed",
          "Set max_tokens to 500 or more for reasoning models, or the answer can come back empty",
          "Pass a fallbacks list so a provider 429 or error retries inside one request",
          "Poll check_job for MCP tools marked long-running instead of calling them again"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59.9
          }
        ],
        "editorialScores": {
          "ergonomics": 75,
          "maintenance": 58,
          "payments": 30,
          "reliability": 33,
          "schema": 81,
          "security": 82,
          "transparency": 65
        },
        "provenanceScore": 44,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-06",
            "maintenance": "2026-11-06",
            "payments": "2026-11-06",
            "reliability": "2026-11-06",
            "schema": "2026-11-06",
            "security": "2026-11-06",
            "transparency": "2026-11-06"
          },
          "last": "2026-11-06",
          "oldest": "2026-11-06",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl https://api.edenai.run/v3/models",
        "claudeCode": "claude mcp add edenai --transport http https://mcp.edenai.run/mcp --header \"Authorization: Bearer $EDENAI_API_KEY\"",
        "config": {
          "mcpServers": {
            "edenai": {
              "headers": {
                "Authorization": "Bearer YOUR_EDENAI_API_KEY"
              },
              "url": "https://mcp.edenai.run/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/inference.router",
        "tool": "https://letme.dev/eden-ai"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Platform fee on credit purchases",
          "unit": "pct",
          "usd": 5.5,
          "note": "On top of provider list prices, which carry no markup"
        }
      ],
      "provenance": {
        "legalEntity": "Eden AI SAS",
        "domain": "edenai.co",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://www.edenai.co/terms",
        "privacy": "https://www.edenai.co/privacy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-11-06",
        "notes": [
          "The terms, last updated 22 October 2026, name Eden AI SAS, share capital €4,992, 19 rue Louis Guérin, 69100 Villeurbanne, France, under French law with courts in Lyon.",
          "The API and MCP server run on edenai.run, a second domain of the same company, while the site and docs are on edenai.co.",
          "robots.txt on www.edenai.co allows all agents and carries `Content-Signal: search=yes, ai-input=yes, ai-train=yes`.",
          "/.well-known/security.txt returns 404. No status page is linked, and status.edenai.co didn't resolve on 6 November 2026.",
          "RDAP for edenai.co wasn't read: rdap.org rate-limited us and the .co registry server wasn't tried."
        ],
        "score": 44
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/eden-ai.json",
      "live": {
        "slug": "eden-ai",
        "probe": {
          "target": "https://mcp.edenai.run/mcp",
          "method": "get",
          "lastAt": "2026-11-07T19:22:04.810042763Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 58,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 50,
          "p95ms24h": 129,
          "samples24h": 210,
          "samples30d": 210,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 13,
              "ok": 13
            },
            {
              "date": "2026-11-07",
              "probes": 197,
              "ok": 197
            }
          ]
        },
        "securityTxt": {
          "url": "https://edenai.co/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T15:59:41.694549385Z"
        },
        "llmsTxt": {
          "url": "https://www.edenai.co/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:32:20.299431316Z"
        },
        "pages": [
          {
            "url": "https://www.edenai.co/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-07T14:28:13.706474894Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "21a1da47a2ce"
          },
          {
            "url": "https://www.edenai.co/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-07T14:28:15.881335606Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9cd0db8f0f61"
          }
        ],
        "mcpTools": {
          "url": "https://mcp.edenai.run/mcp",
          "checkedAt": "2026-11-07T01:44:01.27972989Z",
          "status": "ok",
          "protocol": "2025-11-25",
          "tools": [
            {
              "name": "list_models",
              "description": "List available providers/models and their pricing.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "tool": {
                    "anyOf": [
                      {
                        "type": "string"
                      },
                      {
                        "type": "null"
                      }
                    ],
                    "default": null,
                    "description": "Optional tool name (as returned by tools/list) to filter on."
                  }
                },
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              }
            },
            {
              "name": "list_voices",
              "description": "List the voices a text-to-speech model accepts, for audio_tts's 'voice'.\n\nThe model's default voice comes first.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "gender": {
                    "anyOf": [
                      {
                        "enum": [
                          "female",
                          "male",
                          "unknown"
                        ],
                        "type": "string"
                      },
                      {
                        "type": "null"
                      }
                    ],
                    "default": null,
                    "description": "Keep voices of this gender."
                  },
                  "language": {
                    "anyOf": [
                      {
                        "type": "string"
                      },
                      {
                        "type": "null"
                      }
                    ],
                    "default": null,
                    "description": "Keep voices speaking this language: 'fr' matches every region,\n'fr-CA' only that locale. Multilingual voices are always kept."
                  },
                  "limit": {
                    "default": 50,
                    "description": "Most voices to return (default 50, max 200); 'total' counts every match.",
                    "type": "integer"
                  },
                  "model": {
                    "description": "The audio_tts model, as 'provider' or 'provider/model' (e.g. 'amazon/neural').",
                    "type": "string"
                  }
                },
                "required": [
                  "model"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              }
            },
            {
              "name": "upload_file",
              "description": "Upload a file to Eden AI and get a file ID to use in other tools.\n\nOnly needed for local file content. If you already have a public URL\nfor the file, pass that URL directly to the tool's file parameter\ninstead — no upload needed.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "content_base64": {
                    "description": "The file content, base64-encoded.",
                    "type": "string"
                  },
                  "expires_in_days": {
                    "default": 30,
                    "description": "How long Eden AI keeps the file (1-30, default 30).",
                    "type": "integer"
                  },
                  "filename": {
                    "description": "Name with extension (used to detect the file type).",
                    "type": "string"
                  }
                },
                "required": [
                  "content_base64",
                  "filename"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              }
            },
            {
              "name": "check_job",
              "description": "Get the status/result of an async job started by a long-running tool.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "job_id": {
                    "description": "The job id returned when the job was submitted.",
                    "type": "string"
                  }
                },
                "required": [
                  "job_id"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              }
            },
            {
              "name": "manage_collections",
              "description": "Create and manage collections: stored sets of items (e.g. faces) that a tool searches against. Tools that take a collection_id: image_face_recognition. Flow: create, then add_item once per file (returns the item ids it indexed), then call the tool with the collection_id; delete when done. Arguments per action: create(model, tool?, name?); list(tool?, model?, page?); get, delete, list_items(collection_id); add_item(collection_id, file); delete_item(collection_id, item_id).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "action": {
                    "enum": [
                      "create",
                      "list",
                      "get",
                      "delete",
                      "add_item",
                      "list_items",
                      "delete_item"
                    ],
                    "type": "string"
                  },
                  "collection_id": {
                    "description": "From create or list.",
                    "type": "string"
                  },
                  "file": {
                    "description": "File to add (add_item). Pass a file ID (UUID) from upload_file, or a direct file URL.",
                    "type": "string"
                  },
                  "item_id": {
                    "description": "Item to delete (delete_item), from add_item or list_items.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Provider the collection binds to (create; list filter). image_face_recognition: amazon.",
                    "type": "string"
                  },
                  "name": {
                    "description": "Optional label (create).",
                    "type": "string"
                  },
                  "page": {
                    "description": "Result page (list).",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "tool": {
                    "description": "Tool the collection serves (create; list filter). Defaults to image_face_recognition.",
                    "enum": [
                      "image_face_recognition"
                    ],
                    "type": "string"
                  }
                },
                "required": [
                  "action"
                ],
                "type": "object"
              }
            },
            {
              "name": "audio_speech_to_text",
              "description": "Speech Recognition (or speech to text or voice to text) can recognize and transcribe spoken words (voice),  that will be converted to text with or without diarization. It is also possible to filter profanity. The type of files allowed are: mp3, wav, m4a. If convert_to_wav option is set to true, then you can transcribe any type of audio or video files. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Audio file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: audio/*.",
                    "type": "string"
                  },
                  "language": {
                    "description": "Language code in ISO format (e.g., 'en', 'fr', 'es')",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, assembly, deepgram, deepgram/base, deepgram/enhanced, deepgram/nova-3, gladia, google, gradium, gradium/stt-translate, greenpt, greenpt/green-s, greenpt/green-s-pro, microsoft, mistral, mistral/voxtral-mini-2602, mistral/voxtral-mini-latest, mistral/voxtral-mini-transcribe-3, mistral/voxtral-small-transcribe-3, openai. Call list_models for pricing.",
                    "type": "string"
                  },
                  "profanity_filter": {
                    "default": false,
                    "description": "Whether to filter profanity and replace inappropriate words with a series of asterisks",
                    "type": "boolean"
                  },
                  "speakers": {
                    "default": 2,
                    "description": "Number of speakers present in the audio",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "vocabulary": {
                    "description": "List of words or composed words to be detected by the speech to text engine",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "audio_tts",
              "description": "Text-to-speech (TTS) is a technology that converts written text into spoken audio, enabling computers and digital devices to \"read\" text aloud.  It is also known as speech synthesis, read aloud technology, or computer-generated speech.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "audio_format": {
                    "description": "Desired audio format (e.g., 'mp3', 'wav')",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon/neural, amazon/standard, deepgram/aura, deepgram/aura-2, elevenlabs, elevenlabs/eleven_flash_v2, elevenlabs/eleven_flash_v2_5, elevenlabs/eleven_multilingual_v2, elevenlabs/eleven_turbo_v2, elevenlabs/eleven_turbo_v2_5, elevenlabs/eleven_v3, google/casual, google/chirp-hd, google/chirp3-hd, google/gemini-2.5-flash-tts, google/gemini-2.5-pro-tts, google/gemini-3.1-flash-tts-preview, google/neural2, google/news, google/polyglot, google/standard, google/studio, google/wavenet, gradium, microsoft/neural, microsoft/neural-hd, mistral/voxtral-mini-tts-3, openai/gpt-4o-mini-tts, openai/tts-1, openai/tts-1-hd, ovhcloud/nvr-tts-de-de, ovhcloud/nvr-tts-en-us, ovhcloud/nvr-tts-es-es, ovhcloud/nvr-tts-it-it. Call list_models for pricing.",
                    "type": "string"
                  },
                  "speaking_pitch": {
                    "description": "Increase or decrease the speaking pitch by a percentage from -100% to 100%, 0 is normal.",
                    "maximum": 100,
                    "minimum": -100,
                    "type": "integer"
                  },
                  "speaking_volume": {
                    "description": "Increase or decrease the audio volume by a percentage from -100% to 100%, 0 is normal.",
                    "maximum": 100,
                    "minimum": -100,
                    "type": "integer"
                  },
                  "speed": {
                    "description": "Speed multiplier for speech synthesis",
                    "maximum": 4,
                    "minimum": 0.25,
                    "type": "number"
                  },
                  "text": {
                    "description": "Text to convert to speech",
                    "minLength": 1,
                    "type": "string"
                  },
                  "voice": {
                    "description": "Voice to synthesize with: an id or name from list_voices(model=...), matched case-insensitively. Omit it to use the model's default voice. An id the list doesn't know (e.g. your own cloned voice) is sent to the provider unchanged.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_ai_detection",
              "description": "Determine whether an image was generated by AI or is a real photograph or artwork. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: resemble, winstonai. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_anonymization",
              "description": "Image Anonymization API, also known as image de-identification or image de-personalization, refers to the process of automatically removing personal or sensitive information from images. The main objective is to protect the privacy and security of individuals who may be depicted in images shared online or used for research purposes. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: api4ai. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_background_removal",
              "description": "Background removal is a digital image processing technique designed to seamlessly eliminate the backdrop of a photo, leaving behind only the main subject. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: api4ai, clipdrop, photoroom, picsart, sentisight, stabilityai. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_deepfake_detection",
              "description": "Detect whether a face in a real photo has been swapped or manipulated (face-swap deepfakes). For fully AI-generated images, use AI Image Detection instead. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: resemble, sightengine. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_explicit_content",
              "description": "Explicit Content Detection detects adult only content in images, that is generally inappropriate for people under the age of 18 and includes nudity, sexual activity, pornography, violence, gore content, etc. (type of files allowed: jpg, jpeg, png, tiff) File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, google, microsoft, openai, openai/gpt-4o. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_face_compare",
              "description": "Compare two faces and decide whether they are from the same person. The API expects 2 images, reference and query, where the former is the ground truth (e.g. user's official ID) and the latter is the validation image (e.g. a selfie). File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file1": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "file2": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, base64, facepp. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file1",
                  "file2"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_face_detection",
              "description": "Face Detection is a computer technology being used in a variety of applications that identifies human faces in digital images with different attributes like landmarks, sentiments and physical attire (type of file allowed: jpg, jpeg, png, tiff) File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, api4ai, google. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_face_recognition",
              "description": "Recognizing a face in an image is a more advanced feature than just detecting the face in the image. It allows the user to search for the detected face from a database of existing images and extract the faces that are most similar to the face displayed in the query image. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "collection_id": {
                    "description": "Id of one of your collections. Make one with manage_collections (action='create', then add_item for each file to search against); action='list' shows the ones you have. 'model' must be the collection's provider.",
                    "type": "string"
                  },
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "collection_id",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_generation",
              "description": "Image Generation is an advanced feature that generates compelling images based on a given text prompt. It can easily produce high-quality and original images in a matter of seconds, without the need for specialized design skills or software File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "mask": {
                    "description": "Optional inpainting mask. Must be paired with at least one reference image (otherwise the request returns 422). Support varies by model; models that do not accept a mask surface the error as status=\"fail\" with a provider message in the response body. Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: bytedance, bytedance/seedream-4-0-250828, bytedance/seedream-4-5-251128, bytedance/seedream-5-0-260128, google, google/gemini-2.5-flash-image, google/gemini-3-pro-image-preview, infomaniak/flux, ionos/black-forest-labs/FLUX.1-schnell, ionos/black-forest-labs/FLUX.2-klein-4B, leonardo, leonardo/AlbedoBase XL, leonardo/Leonardo Anime XL, leonardo/Leonardo Diffusion XL, leonardo/Leonardo Kino XL, leonardo/Leonardo Lightning XL, leonardo/Leonardo Phoenix, leonardo/Leonardo Vision XL, leonardo/SDXL 0.9, minimax, minimax/image-01, openai, openai/gpt-image-1, openai/gpt-image-1-mini, openai/gpt-image-1.5, openai/gpt-image-2, ovhcloud/stable-diffusion-xl-base-v10, pruna/p-image, pruna/p-image-edit, pruna/p-image-ideogram, pruna/p-image-ideogram-low, pruna/p-image-ideogram-medium, pruna/p-image-ideogram-very-high, pruna/p-image-ideogram-very-low, replicate, replicate/anime-style, replicate/classic, replicate/vintedois-diffusion, stabilityai, stabilityai/stable-diffusion-xl-1024-v1-0. Call list_models for pricing.",
                    "type": "string"
                  },
                  "num_images": {
                    "default": 1,
                    "description": "Number of images to generate",
                    "maximum": 10,
                    "minimum": 1,
                    "type": "integer"
                  },
                  "reference_images": {
                    "description": "Optional reference images. Plain file IDs/URLs are treated as ReferenceImage with kind=None. Support and per-model limits vary by model; models that do not accept reference images surface the error as status=\"fail\" with a provider message in the response body.",
                    "items": {},
                    "maxItems": 64,
                    "type": "array"
                  },
                  "resolution": {
                    "description": "Image resolution as a named size (e.g. '1024x1024'). Optional: providers may also accept native sizing knobs (width/height, aspect_ratio, image_size tier, etc.) in the top-level `provider_params` request field, next to `input` rather than inside it, in which case `provider_params` takes precedence.",
                    "pattern": "^\\d+x\\d+$",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text prompt for image generation",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_logo_detection",
              "description": "Logo Detection is a powerful technology that enables the automatic identification and recognition of popular logos within an image. It provides accurate and efficient detection of known (and less known) brand logos. It's a valuable tool for a variety of industries, including advertising, retail, and e-commerce. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: api4ai, api4ai/v1, api4ai/v2, google, microsoft, openai, openai/gpt-4-turbo, openai/gpt-4o. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "image_object_detection",
              "description": "Object Detection is a computer vision technique that allows users to identify and locate (with bounding boxes) objects in an image. The detected objects can be animals, people, electronics, vehicles etc. (type of file allowed: jpg, jpeg, png, tiff) File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, api4ai, google, microsoft, sentisight. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "ocr",
              "description": "Optical Character Recognition or Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text. The image can be a scanned document or a photo of a license plate, a road sign or anything else that contains text (type of files allowed: jpg, jpeg, png, tiff) . File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "PDF or image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: application/pdf, image/*.",
                    "type": "string"
                  },
                  "language": {
                    "description": "Document language code. Most providers detect the language themselves and ignore this field; providers that cannot detect it reject requests that omit it. Check the provider's supported languages before relying on it.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, api4ai, google, ionos, ionos/lightonai/LightOnOCR-2-1B, microsoft, mistral, mistral/mistral-ocr-2512, mistral/mistral-ocr-3, mistral/mistral-ocr-3-0, mistral/mistral-ocr-4, mistral/mistral-ocr-4-0, mistral/mistral-ocr-4-1, mistral/mistral-ocr-latest, sentisight. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "ocr_async",
              "description": "OCR or Optical Character Recognition is also referred to as text recognition or text extraction. It allows users to extract text data from PDFs with multiple pages. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "PDF or image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: application/pdf, image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, microsoft, mistral, mistral/mistral-ocr-2512, mistral/mistral-ocr-3, mistral/mistral-ocr-3-0, mistral/mistral-ocr-4, mistral/mistral-ocr-4-0, mistral/mistral-ocr-4-1, mistral/mistral-ocr-latest. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "ocr_financial_parser",
              "description": "Financial Parser API is a powerful and versatile tool designed to streamline your financial data extraction process. This cutting-edge API combines Optical Character Recognition (OCR) technology with advanced parsing capabilities to seamlessly extract and organize relevant information from invoices and receipts. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "document_type": {
                    "default": "invoice",
                    "description": "Specify the type of your document. Can be set to 'auto-detect' for automatic detection if the provider supports it.",
                    "enum": [
                      "auto-detect",
                      "invoice",
                      "receipt"
                    ],
                    "type": "string"
                  },
                  "file": {
                    "description": "File ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*, application/*, text/*.",
                    "type": "string"
                  },
                  "language": {
                    "description": "Document language code. Most providers detect the language themselves and ignore this field; providers that cannot detect it reject requests that omit it. Check the provider's supported languages before relying on it.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: affinda, amazon, base64, eagledoc, extracta, google, klippa, microsoft, mindee, openai, openai/gpt-4o, tabscanner, veryfi. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "ocr_identity_parser",
              "description": "ID Document parsing technology allows users to automatically extract information from an ID Document such as passport, ID card, driving license and more. This API is ideal for developers looking to create applications that require identity verification or access control. It extracts information like name, date of birth, nationality, age and more. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "PDF or image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: application/pdf, image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: affinda, amazon, base64, klippa, microsoft, mindee, openai, openai/gpt-4o. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "ocr_resume_parser",
              "description": "Resume Parser enables users to extract various information from resumes (curriculum vitae, CV) that could be in a variety of formats and returns structured data (name, job list, education, skills) to automate their processing. (type of files allowed: pdf, jpg, jpeg, png) File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "File ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/*, application/*, text/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: affinda, extracta, klippa, openai, openai/gpt-4o. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "ocr_tables",
              "description": "OCR Table (Optical Character Recognition for tabular documents)  allows users to analyze documents containing tables and returns a structured representation of the detected tables in the form of a Json object that can be converted to a CSV. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "PDF or image file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: application/pdf, image/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, google, microsoft. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "text_ai_detection",
              "description": "The AI Detection API is a tool designed to determine whether a given text was generated by an artificial intelligence chatbot, or a Language Model (LLM).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: sapling, winstonai. Call list_models for pricing.",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text to analyze for AI detection, at least 300 characters long. Shorter texts carry too little signal to be scored reliably.",
                    "minLength": 300,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "text_anonymization",
              "description": "The personally identifiable information (PII) detection feature can identify and redact sensitive information in unstructured text. For example: phone numbers, email addresses, and forms of identification. Removing these personally identifiable information helps with the Anonymization of a text and privacy protection.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "language": {
                    "description": "ISO 639-1 language code",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, limina, microsoft. Call list_models for pricing.",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text to detect personal information in",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "text_moderation",
              "description": "Text moderation scans text for offensive, sexually explicit or suggestive content, it also checks if there is any content of self-harm, violence, racist or hate speech.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "language": {
                    "description": "ISO 639-1 language code",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: google, microsoft, openai, openai/text-moderation-007, openai/text-moderation-latest, openai/text-moderation-stable, ovhcloud/Qwen3Guard-Gen-0.6B, ovhcloud/Qwen3Guard-Gen-8B. Call list_models for pricing.",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text to moderate",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "text_named_entity_recognition",
              "description": "Named Entity Recognition (also called entity identification or extraction) is an information extraction technique that automatically identifies named entities in a text and classifies them into predefined categories such as dates, persons names, company names, dates, products etc.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "language": {
                    "description": "ISO 639-1 language code",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, microsoft, openai, openai/gpt-4o. Call list_models for pricing.",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text to analyze for named entities",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "text_plagia_detection",
              "description": "The Plagiarism Detection API is a tool designed to scan a content string for plagiarism using a plagiarism detection module",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: winstonai. Call list_models for pricing.",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text content on which plagiarism detection will be run",
                    "minLength": 1,
                    "type": "string"
                  },
                  "title": {
                    "description": "Content title",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "text_spell_check",
              "description": "Spell Check analyzes the inputted text by comparing it to a dictionary of correctly spelled words to identify and highlight any spelling errors or grammatical mistakes.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "language": {
                    "description": "ISO 639-1 language code",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: prowritingaid, sapling. Call list_models for pricing.",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text to be spell-checked",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "text_topic_extraction",
              "description": "Topic analysis is a Natural Language Processing (NLP) technique that allows us to automatically extract meaning from text by identifying recurrent themes or topics.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "language": {
                    "description": "ISO 639-1 language code",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: google, openai, openai/gpt-4o. Call list_models for pricing.",
                    "type": "string"
                  },
                  "text": {
                    "description": "Text to analyze for topics",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "translation_automatic_translation",
              "description": "Automatic translation or machine translation (MT) is the process of automatically translating a text from one language to another language. The aim of it is to enable people to communicate and access information in different languages, without the need for a human translator.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: amazon, deepl, google, microsoft, modernmt, openai, openai/gpt-4o. Call list_models for pricing.",
                    "type": "string"
                  },
                  "source_language": {
                    "description": "Source language code",
                    "minLength": 1,
                    "type": "string"
                  },
                  "target_language": {
                    "description": "Target language code",
                    "minLength": 1,
                    "type": "string"
                  },
                  "text": {
                    "description": "Text to translate",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text",
                  "target_language"
                ],
                "type": "object"
              }
            },
            {
              "name": "translation_document_translation",
              "description": "Document Translation API translates whole documents in supported languages and various file formats (like pdf or doc) while keeping their structure intact. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Document file ID from /v3/upload or direct file URL (PDF, DOCX, PPTX) Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: application/pdf, application/vnd.openxmlformats-officedocument.wordprocessingml.document, application/vnd.openxmlformats-officedocument.presentationml.presentation.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: deepl, google. Call list_models for pricing.",
                    "type": "string"
                  },
                  "source_language": {
                    "description": "Source language code",
                    "minLength": 1,
                    "type": "string"
                  },
                  "target_language": {
                    "description": "Target language code",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file",
                  "target_language"
                ],
                "type": "object"
              }
            },
            {
              "name": "video_deepfake_detection",
              "description": "Detect deepfake and synthetically manipulated video. Returns an overall deepfake score and prediction, along with per-frame scores when the provider supplies them. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "file": {
                    "description": "Video file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: video/*.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: resemble. Call list_models for pricing.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "file"
                ],
                "type": "object"
              }
            },
            {
              "name": "video_generation",
              "description": "The Video Generation API enables easy creation of high-quality videos from text,and images, perfect for marketing, education, and more—all through one integration. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'. File parameters accept a file ID from upload_file or a direct file URL — if you already have a URL, pass it as-is (no upload needed).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "dimension": {
                    "default": "1280x720",
                    "description": "Video resolution in 'widthxheight' format (e.g., '1280x720')",
                    "pattern": "^\\d+x\\d+$",
                    "type": "string"
                  },
                  "duration": {
                    "description": "Length of the generated video in seconds. Omit to use the model's default duration.",
                    "maximum": 120,
                    "minimum": 1,
                    "type": "integer"
                  },
                  "file": {
                    "description": "Initial keyframe image (JPEG or PNG) file ID from /v3/upload or direct file URL Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: image/jpeg, image/png.",
                    "type": "string"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: bytedance, bytedance/dreamina-seedance-2-0-260128, bytedance/dreamina-seedance-2-0-fast-260128, bytedance/dreamina-seedance-2-0-mini-260615, bytedance/dreamina-seedance-2-5-260628, bytedance/seedance-1-0-pro-250528, bytedance/seedance-1-0-pro-fast-251015, bytedance/seedance-1-5-pro-251215, minimax, minimax/MiniMax-Hailuo-02, minimax/MiniMax-Hailuo-2.3, minimax/S2V-01, minimax/T2V/I2V-01-Director, openai, openai/sora-2, openai/sora-2-pro, pixverse, pixverse/c1, pixverse/v5, pixverse/v5.5, pixverse/v6, pruna, pruna/p-video, pruna/p-video-2, pruna/p-video-2-pro, pruna/p-video-2-pro-cost, pruna/p-video-2-pro-quality, pruna/p-video-animate, pruna/p-video-avatar, pruna/p-video-edit, xai/grok-imagine-video-1.5, xai/grok-imagine-video-1.5-lite. Call list_models for pricing.",
                    "type": "string"
                  },
                  "seed": {
                    "description": "Random seed for generation reproducibility (0 to 2,147,483,646). Omit for varied output.",
                    "maximum": 2147483646,
                    "minimum": 0,
                    "type": "integer"
                  },
                  "text": {
                    "description": "Text prompt describing the content and style of the video to generate",
                    "minLength": 1,
                    "type": "string"
                  },
                  "video": {
                    "description": "Source video to edit, for models that edit a video (their `requires_video` is true in /v3/info). The output keeps the source's length, which is what is billed, so `duration` and `dimension` do not apply to them. Other models refuse it. Pass a file ID (UUID) from upload_file, or a direct file URL. Accepted types: video/*.",
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "text"
                ],
                "type": "object"
              }
            },
            {
              "name": "web_batch_scrape",
              "description": "Scrape many URLs in one request and return each page's content. Runs as an async job. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: firecrawl. Call list_models for pricing.",
                    "type": "string"
                  },
                  "urls": {
                    "description": "Explicit list of URLs to scrape (async job)",
                    "items": {
                      "type": "string"
                    },
                    "minItems": 1,
                    "type": "array"
                  }
                },
                "required": [
                  "model",
                  "urls"
                ],
                "type": "object"
              }
            },
            {
              "name": "web_crawl",
              "description": "Crawl a site from a starting URL and return the content of its pages. Runs as an async job. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: firecrawl, tavily. Call list_models for pricing.",
                    "type": "string"
                  },
                  "url": {
                    "description": "Root URL to crawl (async job)",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "url"
                ],
                "type": "object"
              }
            },
            {
              "name": "web_map",
              "description": "Discover and return the list of URLs on a site (a sitemap-style link map).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: firecrawl, tavily. Call list_models for pricing.",
                    "type": "string"
                  },
                  "url": {
                    "description": "Root URL to map (discover its links)",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "url"
                ],
                "type": "object"
              }
            },
            {
              "name": "web_research",
              "description": "Run deep, multi-step web research on a query and return a synthesized answer with sources. Runs as an async job. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: firecrawl, linkup, tavily. Call list_models for pricing.",
                    "type": "string"
                  },
                  "prompt": {
                    "description": "Natural-language research task for the agent",
                    "minLength": 1,
                    "type": "string"
                  },
                  "reasoning_depth": {
                    "default": "L",
                    "description": "Research reasoning-effort tier (billed per tier; priced pre-call)",
                    "enum": [
                      "S",
                      "M",
                      "L",
                      "XL"
                    ],
                    "type": "string"
                  },
                  "schema": {
                    "description": "JSON schema describing the structured output",
                    "type": "object"
                  }
                },
                "required": [
                  "model",
                  "prompt"
                ],
                "type": "object"
              }
            },
            {
              "name": "web_scraping",
              "description": "Fetch a single URL and return its clean content as markdown, text, or HTML, with optional JavaScript rendering.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: deepseek, firecrawl, linkup, tavily. Call list_models for pricing.",
                    "type": "string"
                  },
                  "url": {
                    "description": "URL of the web page to scrape",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "url"
                ],
                "type": "object"
              }
            },
            {
              "name": "web_search",
              "description": "Search the web for a query and return ranked results (title, URL, and a snippet or the page content).",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "depth": {
                    "default": "standard",
                    "description": "Search depth tier. `deep` is refused with a 400 on deepseek, perplexityai and zai, which run one tier only.",
                    "enum": [
                      "standard",
                      "deep"
                    ],
                    "type": "string"
                  },
                  "max_results": {
                    "description": "Max number of search results to return",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "model": {
                    "description": "Which provider/model to run, exactly one of: deepseek, firecrawl, linkup, perplexityai, tavily, zai. Call list_models for pricing.",
                    "type": "string"
                  },
                  "query": {
                    "description": "The web search query",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "model",
                  "query"
                ],
                "type": "object"
              }
            },
            {
              "name": "web_structured_extraction",
              "description": "Extract structured data from one or more web pages against a schema or prompt. Runs as an async job. Long-running: returns a job immediately; poll it with check_job(job_id) every few seconds until status is 'success' or 'fail'.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "model": {
                    "description": "Which provider/model to run, exactly one of: firecrawl. Call list_models for pricing.",
                    "type": "string"
                  },
                  "prompt": {
                    "description": "Natural-language description of what to extract",
                    "type": "string"
                  },
                  "schema": {
                    "description": "JSON schema describing the structured output",
                    "type": "object"
                  },
                  "urls": {
                    "description": "URLs to extract structured data from (async job)",
                    "items": {
                      "type": "string"
                    },
                    "minItems": 1,
                    "type": "array"
                  }
                },
                "required": [
                  "model",
                  "urls"
                ],
                "type": "object"
              }
            }
          ],
          "schemaTokens": 10725,
          "changedAt": "2026-11-07T01:44:01.27972989Z",
          "check": {
            "checker": "anchor-check/1.0",
            "totalTokens": 10725,
            "counts": {
              "error": 0,
              "note": 1,
              "warn": 49
            },
            "findings": [
              {
                "rule": "TC11",
                "severity": "warn",
                "tool": "manage_collections",
                "message": "1 parameter without a description: action",
                "fix": "Describe each one: format, units, an example, and what happens when it's left out."
              },
              {
                "rule": "TC12",
                "severity": "warn",
                "tool": "image_generation",
                "message": "no type for reference_images[]",
                "fix": "Give every parameter a type (or an enum)."
              },
              {
                "rule": "TC13",
                "severity": "warn",
                "tool": "web_research",
                "message": "schema (object with no properties)",
                "fix": "Declare the properties (or additionalProperties with a schema) and the array's items."
              },
              {
                "rule": "TC13",
                "severity": "warn",
                "tool": "web_structured_extraction",
                "message": "schema (object with no properties)",
                "fix": "Declare the properties (or additionalProperties with a schema) and the array's items."
              },
              {
                "rule": "TC14",
                "severity": "warn",
                "tool": "image_face_recognition",
                "message": "allowed values are in the description, not an enum: collection_id",
                "fix": "Move them into enum."
              },
              {
                "rule": "TC14",
                "severity": "warn",
                "tool": "image_generation",
                "message": "allowed values are in the description, not an enum: resolution",
                "fix": "Move them into enum."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "audio_speech_to_text",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "audio_tts",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "check_job",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Its name starts with \"check\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_ai_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_anonymization",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_background_removal",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_deepfake_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_explicit_content",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_face_compare",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_face_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_face_recognition",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_generation",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_logo_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "image_object_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "list_models",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Its name starts with \"list\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "list_voices",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Its name starts with \"list\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "manage_collections",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "ocr",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "ocr_async",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "ocr_financial_parser",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "ocr_identity_parser",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "ocr_resume_parser",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "ocr_tables",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "text_ai_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "text_anonymization",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "text_moderation",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "text_named_entity_recognition",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "text_plagia_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "text_spell_check",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Its name starts with \"check\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "text_topic_extraction",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "translation_automatic_translation",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "translation_document_translation",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "upload_file",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "video_deepfake_detection",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "video_generation",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "web_batch_scrape",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "web_crawl",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "web_map",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "web_research",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "web_scraping",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "web_search",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Its name starts with \"search\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
              },
              {
                "rule": "TC16",
                "severity": "warn",
                "tool": "web_structured_extraction",
                "message": "no readOnlyHint or destructiveHint",
                "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
              },
              {
                "rule": "TC23",
                "severity": "warn",
                "message": "42 tools",
                "fix": "Offer a smaller default toolset and let clients opt into the rest."
              },
              {
                "rule": "TC24",
                "severity": "note",
                "message": "38 of 42 tools have no outputSchema",
                "fix": "Declare outputSchema for tools that return structured data, and return structuredContent that matches it."
              }
            ]
          }
        },
        "updatedAt": "2026-11-07T19:22:04.810042763Z"
      }
    },
    "edges": [
      {
        "by": 35,
        "category": "reliability",
        "leads": "cloudflare-workers-ai",
        "name": "Reliability",
        "reasons": {
          "a": "Hosted reading. www.cloudflarestatus.com is a Statuspage with Workers AI, AI Gateway and API as separate components (20). The incidents feed read on 9 October held 50 incidents from 21 September to 8 October 2026, none naming Workers AI or AI Gateway. The feed read on 1 November holds 50 incidents from 16 to 31 October. Workers AI is listed only in \"Issues with AI Security for Apps\" on 27 October, intermittent failures in unsafe topic detection with impact none, resolved after 38 minutes. The 23 October network incident, labelled major, describes some traffic between Ashburn and Atlanta and some customers in North America, so it reads as partial, as this run's other Cloudflare re-checks read regional incidents. The history page loads by script, so 3 August to 20 September and 9 to 15 October went unread. The 28 July changelog that cited 429 and 3040 capacity errors has left the 90 days, so the line is 12 of 30 (10 before), as cloudflare-r2 and cloudflare-mcp read the same page with an unread stretch on 1 November. Limits are published per task type, 300 requests a minute for text generation and 20 or 50 a minute per paid model, unchanged since 17 September (15). A 429 carries code 3036 for a spent free allocation or 3040 for capacity, `rejectIfBusy` fails fast, the batch route queues work, and the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit. No `Retry-After` or backoff figures were found for a 3040 (11 of 15). No SLA for Workers AI was found. The legal index names only an enterprise support and SLA page, which we did not read (0). The limits page says Workers AI is generally available, with lower limits possible on beta models (10). 20 + 12 + 15 + 11 + 0 + 10 = 68.",
          "b": "Router, read on the hosted lines. No status page is linked from the site or docs, and status.edenai.co didn't resolve for us on 6 November 2026 (0). No incident history to read (5). The rate-limits page gives 10 requests a second per account, shared across keys, while the plans page gives 7 a second, raisable to 15, so the figure is documented but inconsistent (10). Fallback retries the next model or provider on a 429 or error inside one request, but no client-facing 429 or Retry-After guidance was found (8). No SLA published; 'Dedicated support \u0026 SLA' is listed only for the custom Advanced plan, and the pricing page's '99.99%' uptime is a claim without a status page behind it (0). The v3 API is GA (10). 0+5+10+8+0+10 = 33."
        },
        "scores": {
          "a": 68,
          "b": 33
        }
      },
      {
        "by": 22,
        "category": "payments",
        "leads": "cloudflare-workers-ai",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "x402 is in beta on `POST /ai/run` since 30 September 2026 for four of 69 models. It still needs a Cloudflare API token, a United States account and a card on file, and the per-model and OpenAI-style routes are not covered. We did not call it (12 of 40). Per-model token, image and audio prices and the neuron rate are published without a login (20). 10,000 neurons a day are free on the Workers Free plan, and the pricing page asks for a paid plan only past that. We did not sign up to confirm that no card is asked for (20). A person creates the account and the first token in a browser, and the x402 route needs both (0). The Machine Payments page (last updated 30 September) and the pricing page (20 October) were re-read on 1 November and say the same. 12 + 20 + 20 + 0 = 52.",
          "b": "No x402, MPP or L402 (0). Provider prices with no markup plus a 5.5% platform fee, published per model in the keyless catalogue (20). llms.txt says some models are billed $0 for tests, but whether a new account can call them without buying credits isn't stated (10). A person signs up in a browser and buys credits through Stripe (0). 0+20+10+0 = 30."
        },
        "scores": {
          "a": 52,
          "b": 30
        }
      },
      {
        "by": 21,
        "category": "transparency",
        "leads": "cloudflare-workers-ai",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Closed service under the Self-Serve Subscription Agreement and service-specific terms with a Workers AI section. The hosted models are open-weight with licence links on their pages, and the SDKs are Apache-2.0 and MIT (18 of 30). The data usage page, the service-specific terms and the privacy policy of 4 November 2025 agree on ownership and no training. The privacy policy gives retention criteria, not periods, the two documents differ on use to improve services, and the DPA the terms link was not read (20 of 30). No deprecation policy was found. The changelog posts dated notices, among them the 21 October deprecation of `workers-ai-provider` with no end date, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (8 of 20). A sub-processor page exists and links a list for Cloudflare services, which we did not read. Model pages are tagged Cloudflare-hosted, and where a request runs is not stated beyond Cloudflare's network (10 of 20). 18 + 20 + 8 + 10 = 56.",
          "b": "Editorial half only. Closed service under terms last updated 22 October 2026, naming Eden AI SAS and French law with courts in Lyon (15). The data retention page, terms and DPA agree that content isn't stored by default, and the docs carry a per-provider table of training, retention and ZDR (27). No deprecation policy found; models are dropped in docs updates without dated notice that we found (5). The DPA's Annex 2 names operational subprocessors (AWS EMEA, ClickHouse, Sentry, Metabase, Stripe, Brevo and others) with their roles, and the EU endpoint keeps routing in the EU (18). 15+27+5+18 = 65."
        },
        "scores": {
          "a": 76,
          "b": 55
        }
      },
      {
        "by": 14,
        "category": "maintenance",
        "leads": "cloudflare-workers-ai",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading. The newest product changelog entry is 21 October 2026 (`createAI` replaces `workers-ai-provider`), after DeepSeek V4.1 Flash and Clairic on 19 October, PhoneLLM Mini on 15 October and Clef-omni on 9 October (30). No minimum notice for model changes was found. The notice of 8 May 2026 retired 18 models 22 days later, and a notice of 18 September 2025 retired models 13 days later (5 of 12). Eighteen models went on 30 May 2026, one aliased to a pricier successor. No retirement was announced between 9 October and 1 November (3 of 8). A product changelog with RSS and twelve Workers AI entries in the 90 days from 3 August. The Workers AI changelog page still stops at 16 June, and community and support channels were not sampled (10 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 (tagged 2 October 2026) are still the newest tags on 1 November. `workers-ai-provider` 4.0.1 (20 October) deprecates the package with no runtime change and points to `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 8 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 3 + 10 + 3 + 14 + 7 = 72.",
          "b": "Closed service, read on the model lines. The docs repository changed on 5 and 6 November 2026, including retiring Nova Reel and Veo from video generation, and the terms were updated 22 October (30). No public changelog, so dated API changes in the last 90 days come only from docs commits (12 of 20). Chat support within 48 working hours, no public changelog (8). No SDK of its own, and the MCP server isn't in the official MCP registry (5). Nothing to judge package health by beyond the docs repository (3). 30+12+8+5+3 = 58."
        },
        "scores": {
          "a": 72,
          "b": 58
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model router",
        "name": "Kind"
      },
      {
        "a": "Cloudflare, Inc.",
        "b": "Eden AI SAS",
        "name": "Vendor"
      },
      {
        "a": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai",
        "b": "https://mcp.edenai.run/mcp",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "payer tooling only",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause",
        "b": "none",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-21",
        "b": "2026-11-05",
        "name": "Last release"
      },
      {
        "a": "2025-09-12",
        "b": "2026-10-22",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "2026-10-22",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "380k npm/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 4 of 7 scored categories.",
        "question": "Which is better for AI agents, Cloudflare Workers AI or Eden AI?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Cloudflare Workers AI and Eden AI need an API key?"
      },
      {
        "answer": "Yes. Cloudflare Workers AI has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai and Eden AI at https://mcp.edenai.run/mcp.",
        "question": "Can an agent call Cloudflare Workers AI and Eden AI without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 68 against 33",
          "Payments \u0026 pricing, 52 against 30",
          "Maintenance \u0026 community, 72 against 58",
          "Transparency \u0026 trust, 76 against 55"
        ],
        "also": null,
        "goodFor": "Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.",
        "slug": "cloudflare-workers-ai",
        "watchFor": "No SLA for Workers AI was found in the docs or the agreements read"
      },
      {
        "aheadOn": null,
        "also": [
          "No incidents deducted, where Cloudflare Workers AI loses 3 points for them"
        ],
        "goodFor": "Teams that want one key and bill for many LLMs plus OCR, speech, translation and web tools, with EU-only processing.",
        "slug": "eden-ai",
        "watchFor": "No public status page, incident history or SLA found"
      }
    ],
    "history": {
      "cloudflare-workers-ai": [
        {
          "causes": [
            "evidence",
            "time"
          ],
          "date": "2026-11-01",
          "delta": 0.9,
          "from": 68.3,
          "fromGrade": "B",
          "to": 69.2,
          "toGrade": "B"
        }
      ],
      "eden-ai": null
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai.json",
        "title": "Amazon Bedrock vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-eden-ai.json",
        "title": "Amazon Bedrock vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.json",
        "title": "Claude API vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-eden-ai.json",
        "title": "Claude API vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.json",
        "title": "Antseed vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai.json",
        "title": "Azure OpenAI in Foundry Models vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-eden-ai.json",
        "title": "Azure OpenAI in Foundry Models vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.json",
        "title": "BlockRun.AI vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-eden-ai.json",
        "title": "BlockRun.AI vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.json",
        "title": "Cerebras Inference vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-eden-ai.json",
        "title": "Cerebras Inference vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cloudflare-workers-ai.json",
        "title": "Cloudflare AI Gateway vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-eden-ai.json",
        "title": "Cloudflare AI Gateway vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.json",
        "title": "Cloudflare Workers AI vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.json",
        "title": "Cloudflare Workers AI vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api.json",
        "title": "Cloudflare Workers AI vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.json",
        "title": "Cloudflare Workers AI vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference.json",
        "title": "Cloudflare Workers AI vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-api.json",
        "title": "Cloudflare Workers AI vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-groq.json",
        "title": "Cloudflare Workers AI vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hugging-face-inference-providers.json",
        "title": "Cloudflare Workers AI vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small.json",
        "title": "Cloudflare Workers AI vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3.json",
        "title": "Cloudflare Workers AI vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api.json",
        "title": "Cloudflare Workers AI vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api.json",
        "title": "Cloudflare Workers AI vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api.json",
        "title": "Cloudflare Workers AI vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open.json",
        "title": "Cloudflare Workers AI vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl.json",
        "title": "Cloudflare Workers AI vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai.json",
        "title": "Cloudflare Workers AI vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openai-api.json",
        "title": "Cloudflare Workers AI vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter.json",
        "title": "Cloudflare Workers AI vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.json",
        "title": "Cloudflare Workers AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router.json",
        "title": "Cloudflare Workers AI vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam.json",
        "title": "Cloudflare Workers AI vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-routerplus.json",
        "title": "Cloudflare Workers AI vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova.json",
        "title": "Cloudflare Workers AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow.json",
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        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart.json",
        "title": "Cloudflare Workers AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.json",
        "title": "Cloudflare Workers AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash.json",
        "title": "Cloudflare Workers AI vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub.json",
        "title": "Cloudflare Workers AI vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.json",
        "title": "Cloudflare Workers AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway.json",
        "title": "Cloudflare Workers AI vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.json",
        "title": "Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-xai-api.json",
        "title": "Cloudflare Workers AI vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-eden-ai.json",
        "title": "Cohere Chat API (Command models) vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-eden-ai.json",
        "title": "DeepInfra vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-eden-ai.json",
        "title": "DeepSeek API vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-elorian-glimpse.json",
        "title": "Eden AI vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-fireworks-inference.json",
        "title": "Eden AI vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-api.json",
        "title": "Eden AI vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-groq.json",
        "title": "Eden AI vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-inkling-2-small.json",
        "title": "Eden AI vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-jais-3.json",
        "title": "Eden AI vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-meta-model-api.json",
        "title": "Eden AI vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-minimax-api.json",
        "title": "Eden AI vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-mistral-api.json",
        "title": "Eden AI vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-muse-spark-open.json",
        "title": "Eden AI vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-nemotron-3-5-super-vl.json",
        "title": "Eden AI vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-novita-ai.json",
        "title": "Eden AI vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-openai-api.json",
        "title": "Eden AI vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-prism-inference.json",
        "title": "Eden AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-reflection-beam.json",
        "title": "Eden AI vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-sambanova.json",
        "title": "Eden AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-siliconflow.json",
        "title": "Eden AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-simplismart.json",
        "title": "Eden AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-stepfun-api.json",
        "title": "Eden AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-swe-2-flash.json",
        "title": "Eden AI vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-together-inference.json",
        "title": "Eden AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-vertex-ai.json",
        "title": "Eden AI vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-xai-api.json",
        "title": "Eden AI vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-eden-ai.json",
        "title": "Antseed vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-hugging-face-inference-providers.json",
        "title": "Eden AI vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-litellm.json",
        "title": "Eden AI vs LiteLLM",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-litellm"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-openrouter.json",
        "title": "Eden AI vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-ramp-router.json",
        "title": "Eden AI vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-routerplus.json",
        "title": "Eden AI vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-tencent-tokenhub.json",
        "title": "Eden AI vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-vercel-ai-gateway.json",
        "title": "Eden AI vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-vercel-ai-gateway"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 35,
        "cloudflare-workers-ai": 68,
        "eden-ai": 33,
        "edge": "cloudflare-workers-ai",
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "cloudflare-workers-ai": 80,
        "eden-ai": 81,
        "edge": "eden-ai",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 0,
        "cloudflare-workers-ai": 75,
        "eden-ai": 75,
        "edge": "",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 2,
        "cloudflare-workers-ai": 80,
        "eden-ai": 82,
        "edge": "eden-ai",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 22,
        "cloudflare-workers-ai": 52,
        "eden-ai": 30,
        "edge": "cloudflare-workers-ai",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 14,
        "cloudflare-workers-ai": 72,
        "eden-ai": 58,
        "edge": "cloudflare-workers-ai",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 21,
        "cloudflare-workers-ai": 76,
        "eden-ai": 55,
        "edge": "cloudflare-workers-ai",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 4 of 7 scored categories. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "cloudflare-workers-ai": "Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.",
      "eden-ai": "Eden AI gives one OpenAI-compatible key to about 1,000 models and expert models such as OCR, speech and translation, with an EU-only endpoint, per-key guardrails and no stored content by default. No status page, SLA or changelog was found, and its own pages disagree on the default rate limit."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai",
    "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.min.md"
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  "markdown": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 4 of 7 scored categories. Both do llm inference.\n\n- Cloudflare Workers AI: grade B, 69.2/100, rank #256 of 1510. Markdown https://www.anchorterminal.com/tools/cloudflare-workers-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json\n- Eden AI: grade C, 59.9/100, rank #675 of 1510. Markdown https://www.anchorterminal.com/tools/eden-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/eden-ai.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 830 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Cloudflare Workers AI (B)\n\nGood for: Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.\n\nAhead on:\n- Reliability, 68 against 33\n- Payments \u0026 pricing, 52 against 30\n- Maintenance \u0026 community, 72 against 58\n- Transparency \u0026 trust, 76 against 55\n\nWatch for: No SLA for Workers AI was found in the docs or the agreements read\n\n### Eden AI (C)\n\nGood for: Teams that want one key and bill for many LLMs plus OCR, speech, translation and web tools, with EU-only processing.\n\nAlso in its favour:\n- No incidents deducted, where Cloudflare Workers AI loses 3 points for them\n\nWatch for: No public status page, incident history or SLA found\n\n\n## Why the edge\n\n### Reliability: Cloudflare Workers AI +35\n\n- Cloudflare Workers AI (68): Hosted reading. www.cloudflarestatus.com is a Statuspage with Workers AI, AI Gateway and API as separate components (20). The incidents feed read on 9 October held 50 incidents from 21 September to 8 October 2026, none naming Workers AI or AI Gateway. The feed read on 1 November holds 50 incidents from 16 to 31 October. Workers AI is listed only in \"Issues with AI Security for Apps\" on 27 October, intermittent failures in unsafe topic detection with impact none, resolved after 38 minutes. The 23 October network incident, labelled major, describes some traffic between Ashburn and Atlanta and some customers in North America, so it reads as partial, as this run's other Cloudflare re-checks read regional incidents. The history page loads by script, so 3 August to 20 September and 9 to 15 October went unread. The 28 July changelog that cited 429 and 3040 capacity errors has left the 90 days, so the line is 12 of 30 (10 before), as cloudflare-r2 and cloudflare-mcp read the same page with an unread stretch on 1 November. Limits are published per task type, 300 requests a minute for text generation and 20 or 50 a minute per paid model, unchanged since 17 September (15). A 429 carries code 3036 for a spent free allocation or 3040 for capacity, `rejectIfBusy` fails fast, the batch route queues work, and the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit. No `Retry-After` or backoff figures were found for a 3040 (11 of 15). No SLA for Workers AI was found. The legal index names only an enterprise support and SLA page, which we did not read (0). The limits page says Workers AI is generally available, with lower limits possible on beta models (10). 20 + 12 + 15 + 11 + 0 + 10 = 68.\n- Eden AI (33): Router, read on the hosted lines. No status page is linked from the site or docs, and status.edenai.co didn't resolve for us on 6 November 2026 (0). No incident history to read (5). The rate-limits page gives 10 requests a second per account, shared across keys, while the plans page gives 7 a second, raisable to 15, so the figure is documented but inconsistent (10). Fallback retries the next model or provider on a 429 or error inside one request, but no client-facing 429 or Retry-After guidance was found (8). No SLA published; 'Dedicated support \u0026 SLA' is listed only for the custom Advanced plan, and the pricing page's '99.99%' uptime is a claim without a status page behind it (0). The v3 API is GA (10). 0+5+10+8+0+10 = 33.\n\n### Payments \u0026 pricing: Cloudflare Workers AI +22\n\n- Cloudflare Workers AI (52): x402 is in beta on `POST /ai/run` since 30 September 2026 for four of 69 models. It still needs a Cloudflare API token, a United States account and a card on file, and the per-model and OpenAI-style routes are not covered. We did not call it (12 of 40). Per-model token, image and audio prices and the neuron rate are published without a login (20). 10,000 neurons a day are free on the Workers Free plan, and the pricing page asks for a paid plan only past that. We did not sign up to confirm that no card is asked for (20). A person creates the account and the first token in a browser, and the x402 route needs both (0). The Machine Payments page (last updated 30 September) and the pricing page (20 October) were re-read on 1 November and say the same. 12 + 20 + 20 + 0 = 52.\n- Eden AI (30): No x402, MPP or L402 (0). Provider prices with no markup plus a 5.5% platform fee, published per model in the keyless catalogue (20). llms.txt says some models are billed $0 for tests, but whether a new account can call them without buying credits isn't stated (10). A person signs up in a browser and buys credits through Stripe (0). 0+20+10+0 = 30.\n\n### Transparency \u0026 trust: Cloudflare Workers AI +21\n\n- Cloudflare Workers AI (76): Closed service under the Self-Serve Subscription Agreement and service-specific terms with a Workers AI section. The hosted models are open-weight with licence links on their pages, and the SDKs are Apache-2.0 and MIT (18 of 30). The data usage page, the service-specific terms and the privacy policy of 4 November 2025 agree on ownership and no training. The privacy policy gives retention criteria, not periods, the two documents differ on use to improve services, and the DPA the terms link was not read (20 of 30). No deprecation policy was found. The changelog posts dated notices, among them the 21 October deprecation of `workers-ai-provider` with no end date, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (8 of 20). A sub-processor page exists and links a list for Cloudflare services, which we did not read. Model pages are tagged Cloudflare-hosted, and where a request runs is not stated beyond Cloudflare's network (10 of 20). 18 + 20 + 8 + 10 = 56.\n- Eden AI (55): Editorial half only. Closed service under terms last updated 22 October 2026, naming Eden AI SAS and French law with courts in Lyon (15). The data retention page, terms and DPA agree that content isn't stored by default, and the docs carry a per-provider table of training, retention and ZDR (27). No deprecation policy found; models are dropped in docs updates without dated notice that we found (5). The DPA's Annex 2 names operational subprocessors (AWS EMEA, ClickHouse, Sentry, Metabase, Stripe, Brevo and others) with their roles, and the EU endpoint keeps routing in the EU (18). 15+27+5+18 = 65.\n\n### Maintenance \u0026 community: Cloudflare Workers AI +14\n\n- Cloudflare Workers AI (72): Model reading. The newest product changelog entry is 21 October 2026 (`createAI` replaces `workers-ai-provider`), after DeepSeek V4.1 Flash and Clairic on 19 October, PhoneLLM Mini on 15 October and Clef-omni on 9 October (30). No minimum notice for model changes was found. The notice of 8 May 2026 retired 18 models 22 days later, and a notice of 18 September 2025 retired models 13 days later (5 of 12). Eighteen models went on 30 May 2026, one aliased to a pricier successor. No retirement was announced between 9 October and 1 November (3 of 8). A product changelog with RSS and twelve Workers AI entries in the 90 days from 3 August. The Workers AI changelog page still stops at 16 June, and community and support channels were not sampled (10 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 (tagged 2 October 2026) are still the newest tags on 1 November. `workers-ai-provider` 4.0.1 (20 October) deprecates the package with no runtime change and points to `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 8 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 3 + 10 + 3 + 14 + 7 = 72.\n- Eden AI (58): Closed service, read on the model lines. The docs repository changed on 5 and 6 November 2026, including retiring Nova Reel and Veo from video generation, and the terms were updated 22 October (30). No public changelog, so dated API changes in the last 90 days come only from docs commits (12 of 20). Chat support within 48 working hours, no public changelog (8). No SDK of its own, and the MCP server isn't in the official MCP registry (5). Nothing to judge package health by beyond the docs repository (3). 30+12+8+5+3 = 58.\n\n## Score by category\n\n| Category | Weight | Cloudflare Workers AI | Eden AI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 33 | Cloudflare Workers AI +35 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 81 | Eden AI +1 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 75 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 82 | Eden AI +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 52 | 30 | Cloudflare Workers AI +22 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 72 | 58 | Cloudflare Workers AI +14 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 76 | 55 | Cloudflare Workers AI +21 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **69.2 · B** | **59.9 · C** | |\n\n## Facts side by side\n\n| Fact | Cloudflare Workers AI | Eden AI |\n| --- | --- | --- |\n| Kind | Model API | Model router |\n| Vendor | Cloudflare, Inc. | Eden AI SAS |\n| Hosted endpoint | `https://api.cloudflare.com/client/v4/accounts/{account_id}/ai` | `https://mcp.edenai.run/mcp` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | payer tooling only | no |\n| Licence | Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-21 | 2026-11-05 |\n| Terms last updated | 2025-09-12 | 2026-10-22 |\n| Privacy policy last updated | no date given | 2026-10-22 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 380k npm/wk | none |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### Cloudflare Workers AI\n\n- +0.9 on 1 November 2026: new evidence, time\n\n### Eden AI\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Cloudflare Workers AI.** Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.\n\n**Eden AI.** Eden AI gives one OpenAI-compatible key to about 1,000 models and expert models such as OCR, speech and translation, with an EU-only endpoint, per-key guardrails and no stored content by default. No status page, SLA or changelog was found, and its own pages disagree on the default rate limit.\n\n## Before you call either\n\n### Cloudflare Workers AI\n\n1. Check the model page before calling. Eight models need Workers Paid or AI Gateway credits and return 403 with code 5035 on the Free plan\n2. Read the internal code on a 429. 3036 means the day's 10,000 free neurons are spent until 00:00 UTC, 3040 means capacity, so retry later\n3. Set `options.rejectIfBusy` to fail fast, or add `?queueRequest=true` for the batch route when the answer can wait\n4. Send the same `x-session-affinity` value on every turn of a session to reach the prefix cache and the cached-input price\n5. Use `createAI` from `agents/models/ai-sdk` for the Vercel AI SDK. `workers-ai-provider` is deprecated and feature frozen since 21 October 2026\n\n### Eden AI\n\n1. Read GET https://api.edenai.run/v3/models at run time for model ids, prices and regions instead of hard-coding them\n2. Use https://api.eu.edenai.run/v3 when data must stay in the EU, and pick another model on a 451 region_not_allowed\n3. Set max_tokens to 500 or more for reasoning models, or the answer can come back empty\n4. Pass a fallbacks list so a provider 429 or error retries inside one request\n5. Poll check_job for MCP tools marked long-running instead of calling them again\n\n## Questions\n\n### Which is better for AI agents, Cloudflare Workers AI or Eden AI?\n\nCloudflare Workers AI scores 69.2 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 4 of 7 scored categories.\n\n### Do Cloudflare Workers AI and Eden AI need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cloudflare Workers AI and Eden AI without installing anything?\n\nYes. Cloudflare Workers AI has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai and Eden AI at https://mcp.edenai.run/mcp.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cloudflare-workers-ai\", \"b\": \"eden-ai\"}`. From a terminal: `anchor compare cloudflare-workers-ai eden-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json and https://www.anchorterminal.com/api/v1/tools/eden-ai.json\n\n## Other comparisons with Cloudflare Workers AI or Eden AI\n\n- [Amazon Bedrock vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai.md)\n- [Amazon Bedrock vs Eden AI](https://www.anchorterminal.com/compare/amazon-bedrock-vs-eden-ai.md)\n- [Claude API vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.md)\n- [Claude API vs Eden AI](https://www.anchorterminal.com/compare/anthropic-api-vs-eden-ai.md)\n- [Antseed vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.md)\n- [Azure OpenAI in Foundry Models vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai.md)\n- [Azure OpenAI in Foundry Models vs Eden AI](https://www.anchorterminal.com/compare/azure-openai-vs-eden-ai.md)\n- [BlockRun.AI vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.md)\n- [BlockRun.AI vs Eden AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-eden-ai.md)\n- [Cerebras Inference vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.md)\n- [Cerebras Inference vs Eden AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-eden-ai.md)\n- [Cloudflare AI Gateway vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cloudflare-workers-ai.md)\n- [Cloudflare AI Gateway vs Eden AI](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-eden-ai.md)\n- [Cloudflare Workers AI vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.md)\n- [Cloudflare Workers AI vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.md)\n- [Cloudflare Workers AI vs DeepSeek API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api.md)\n- [Cloudflare Workers AI vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.md)\n- [Cloudflare Workers AI vs Fireworks AI Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference.md)\n- [Cloudflare Workers AI vs Gemini Developer API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-api.md)\n- [Cloudflare Workers AI vs GroqCloud](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-groq.md)\n- [Cloudflare Workers AI vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hugging-face-inference-providers.md)\n- [Cloudflare Workers AI vs Inkling 2 Small](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small.md)\n- [Cloudflare Workers AI vs Jais 3](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3.md)\n- [Cloudflare Workers AI vs Meta Model API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api.md)\n- [Cloudflare Workers AI vs MiniMax API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api.md)\n- [Cloudflare Workers AI vs Mistral AI API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api.md)\n- [Cloudflare Workers AI vs Muse Spark Open](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open.md)\n- [Cloudflare Workers AI vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl.md)\n- [Cloudflare Workers AI vs Novita AI](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai.md)\n- [Cloudflare Workers AI vs OpenAI API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openai-api.md)\n- [Cloudflare Workers AI vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter.md)\n- [Cloudflare Workers AI vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.md)\n- [Cloudflare Workers AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router.md)\n- [Cloudflare Workers AI vs Beam 1.0](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam.md)\n- [Cloudflare Workers AI vs RouterPlus](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-routerplus.md)\n- [Cloudflare Workers AI vs SambaCloud](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova.md)\n- [Cloudflare Workers AI vs SiliconFlow](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow.md)\n- [Cloudflare Workers AI vs Simplismart](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart.md)\n- [Cloudflare Workers AI vs StepFun API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.md)\n- [Cloudflare Workers AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash.md)\n- [Cloudflare Workers AI vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub.md)\n- [Cloudflare Workers AI vs Together AI Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.md)\n- [Cloudflare Workers AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway.md)\n- [Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.md)\n- [Cloudflare Workers AI vs xAI API 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