{
  "data": {
    "a": {
      "slug": "simplismart",
      "name": "Simplismart",
      "vendor": "Verute Technologies Private Limited",
      "vendorUrl": "https://simplismart.ai",
      "kind": "http-api",
      "category": "inference",
      "summary": "Simplismart is an inference platform for open models. It runs 150+ models on shared pay-per-token endpoints with an OpenAI-compatible API, and handles dedicated GPU deployments, bring-your-own-cloud clusters and fine-tuning jobs.",
      "url": "https://www.anchorterminal.com/tools/simplismart",
      "markdownUrl": "https://www.anchorterminal.com/tools/simplismart.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/simplismart.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/simplismart.json",
      "dns": "simplismart.grade.anchorterminal.com",
      "license": "Proprietary hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.simplismart.live",
      "packages": [
        {
          "registry": "pypi",
          "name": "simplismart-sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API keys made under Settings, API Keys. Each key has a unique name and an expiry chosen at creation; non-expiring keys need a request to support. Keys return 401 after midnight UTC on the expiry date and can be deleted at once. The Python SDK and CLI use a separate Playground token. Organisation roles are Admin, Member and Billing User, and workspaces scope models and deployments.",
      "pricing": "usage",
      "pricingNotes": "Shared endpoints are priced per 1M tokens, per image or per audio minute, such as Llama 3.1 8B at $0.13 and DeepSeek-V3 at $0.90 per 1M tokens. Dedicated GPUs run from $1.20 (T4) to $5.20 (H200) per GPU-hour. Prepaid credits at $1 each; new organisations may receive $5 of free credits.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs (llms.txt index, billing, API keys and API reference pages) or on the pricing page, checked 28 October 2026. Credits are bought by card, UPI or netbanking, or billed postpaid.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-28"
      },
      "docsUrl": "https://docs.simplismart.ai",
      "llmsTxt": "https://docs.simplismart.ai/llms.txt",
      "openapi": "https://docs.simplismart.ai/openapi-specs/playground/llama-8b.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "speech.stt",
        "image.generate",
        "compute.endpoints",
        "finetune.sft",
        "finetune.lora",
        "finetune.preference",
        "finetune.rl"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "openai-compatible",
        "openapi",
        "llms-txt",
        "python",
        "dedicated-endpoints",
        "byoc",
        "fine-tuning"
      ],
      "lastRelease": "2026-10-19",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 29.5,
        "grade": "F",
        "agentReady": false,
        "rank": 1424,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 42,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 17,
          "maintenance": 42,
          "payments": 25,
          "reliability": 15,
          "schema": 51,
          "security": 35,
          "transparency": 29
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-28"
        },
        "negative": 0,
        "verdict": "Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data.",
        "bestFor": "Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.",
        "strengths": [
          "Public per-unit prices without a login, such as Llama 3.1 8B at $0.13 per 1M tokens and Whisper v3 Turbo at $0.0018 per audio minute",
          "API keys are named, carry an expiry date chosen at creation, return 401 after expiry and can be deleted at once",
          "Markdown docs and an llms.txt index, with OpenAPI 3.1 files for seven LLMs, Whisper and Flux",
          "Shared endpoints, dedicated GPU deployments and bring-your-own-cloud clusters sit on one account, with workspaces and organisation roles"
        ],
        "weaknesses": [
          "No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages",
          "No status page, incident history or SLA document found; the 99.99% uptime figure is a homepage claim",
          "Tool calling, structured output, prompt caching and context lengths are not documented for the shared endpoints",
          "The terms (13 January 2023) and privacy policy cover the website and say nothing about prompt retention or training on API data",
          "The pricing page lists older models (Llama 3.1, DeepSeek-R1) and omits Gemma 4 31B, the model the quickstart uses"
        ],
        "agentNotes": [
          "Point an OpenAI-compatible client at https://api.simplismart.live with SIMPLISMART_API_KEY as a Bearer token, and take model ids from the marketplace or the per-model API pages.",
          "Set a key expiry and rotate before midnight UTC on the expiry date, because an expired key returns 401.",
          "Cap retries yourself with exponential backoff, because no rate limits, 429 format or retry guidance are published.",
          "Check that a model supports tools or JSON output with a test call before relying on it, because neither is documented.",
          "Confirm the per-token price of the exact model in the console before running large jobs, because the public price list is incomplete."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "F",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 29.5
          }
        ],
        "editorialScores": {
          "ergonomics": 17,
          "maintenance": 42,
          "payments": 25,
          "reliability": 15,
          "schema": 51,
          "security": 35,
          "transparency": 14
        },
        "provenanceScore": 44,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-28",
            "maintenance": "2026-10-28",
            "payments": "2026-10-28",
            "reliability": "2026-10-28",
            "schema": "2026-10-28",
            "security": "2026-10-28",
            "transparency": "2026-10-28"
          },
          "last": "2026-10-28",
          "lastMoved": "2026-10-30",
          "oldest": "2026-10-28",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl 'https://api.simplismart.live/chat/completions' -H 'Content-Type: application/json' -H \"Authorization: Bearer $SIMPLISMART_API_KEY\" -d '{\"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/simplismart"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Llama 3.1 8B (shared)",
          "unit": "1m-tokens",
          "usd": 0.13,
          "note": "Single per-1M-token rate on the pricing page, checked 28 October 2026; input and output are not priced separately"
        },
        {
          "item": "Llama 3.3 70B (shared)",
          "unit": "1m-tokens",
          "usd": 0.74,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "DeepSeek-V3 (shared)",
          "unit": "1m-tokens",
          "usd": 0.9,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "Whisper v3 Turbo (shared)",
          "unit": "audio-minute",
          "usd": 0.0018,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "Flux Dev (shared, 1024x1024)",
          "unit": "image",
          "usd": 0.03,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "NVIDIA H100, dedicated",
          "unit": "gpu-hour",
          "usd": 5,
          "note": "Pricing page table order, checked 28 October 2026; a Simplismart article gives $4.00 per hour"
        }
      ],
      "provenance": {
        "legalEntity": "Verute Technologies Private Limited",
        "domain": "simplismart.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://simplismart.ai/terms-of-service",
        "privacy": "https://simplismart.ai/privacy-policy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-28",
        "notes": [
          "The terms (last updated 13 January 2023) and privacy policy (effective 13 January 2023) name Verute Technologies Private Limited, Indian law and an address on Residency Road, Bengaluru. Both define the Service as the simplismart.ai website.",
          "The inference API answers on api.simplismart.live, a separate domain named in the docs. Domain registration was not checked.",
          "No status page found. The docs and site link none, and status.simplismart.ai could not be reached from our network.",
          "No changelog found in the docs sitemap or llms.txt. Model additions appear as blog posts.",
          "simplismart.ai/.well-known/security.txt answered 404."
        ],
        "score": 44
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/simplismart.json",
      "live": {
        "slug": "simplismart",
        "probe": {
          "target": "https://api.simplismart.live",
          "method": "get",
          "lastAt": "2026-11-07T19:22:33.217760995Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 63,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 60,
          "p95ms24h": 169,
          "samples24h": 238,
          "samples30d": 2573,
          "days": [
            {
              "date": "2026-10-28",
              "probes": 208,
              "ok": 208
            },
            {
              "date": "2026-10-29",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-30",
              "probes": 249,
              "ok": 249
            },
            {
              "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
            }
          ]
        },
        "versions": [
          {
            "registry": "pypi",
            "name": "simplismart-sdk",
            "version": "0.1.15",
            "released": "2026-11-02",
            "seenAt": "2026-11-07T00:06:08.735466052Z"
          }
        ],
        "pypiWeekly": 186,
        "securityTxt": {
          "url": "https://simplismart.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T16:01:22.590979779Z"
        },
        "llmsTxt": {
          "url": "https://docs.simplismart.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:33:56.047475338Z"
        },
        "domain": {
          "domain": "simplismart.ai",
          "registered": "2022-11-18",
          "source": "https://rdap.identitydigital.services/rdap/domain/simplismart.ai",
          "checkedAt": "2026-11-01T14:28:09.738527702Z"
        },
        "pages": [
          {
            "url": "https://simplismart.ai/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-11-07T14:19:55.485469388Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "bd2d6d5ffe37"
          },
          {
            "url": "https://simplismart.ai/terms-of-service",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-11-07T14:19:59.722810598Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "94fe8807daf7"
          }
        ],
        "updatedAt": "2026-11-07T19:22:33.217760995Z"
      }
    },
    "answer": "xAI API (Grok) scores 71.7 (BB) on agent readiness against Simplismart's 29.5 (F), and leads in 6 of 7 scored categories. Simplismart leads on payments \u0026 pricing.",
    "b": {
      "slug": "xai-api",
      "name": "xAI API (Grok)",
      "vendor": "SpaceXSI (xAI)",
      "vendorUrl": "https://x.ai",
      "kind": "model",
      "category": "inference",
      "summary": "xAI's API for its Grok models (the docs now name the company SpaceXSI), with text, image, video and voice endpoints, server-side search and remote MCP tools, through an OpenAI-compatible REST API or gRPC.",
      "url": "https://www.anchorterminal.com/tools/xai-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/xai-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/xai-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/xai-api.json",
      "dns": "xai-api.grade.anchorterminal.com",
      "repo": "https://github.com/xai-org/xai-sdk-python",
      "license": "Proprietary service under xAI's enterprise terms of service. The Python SDK is Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.x.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "xai-sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a team API key from console.x.ai. Keys can be limited to endpoints and models by ACL, capped by QPM and TPM, given an expiry, and rotated or disabled through the Management API. mTLS is documented as an option, and GitHub secret scanning disables leaked keys.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credits, then the default payment method at month end. Grok 4.7 costs $2 input, $0.50 cached input and $6 output per 1M tokens below 200K prompt tokens, and $4/$1/$12 above, applied to the whole request. Batch is 20% off on grok-4.7, 4.6, 4.5, 4.3 and the grok-4.20 models. Priority processing 2x, the US regional endpoint 1.1x. Web search, code execution and attachment search $5 per 1,000 calls, collections search $2.50, X search $5 per 1,000 posts. $0.05 fee for a request blocked before generation for a usage-policy violation (https://docs.x.ai/developers/pricing, checked 2026-11-06).",
      "priceSummary": "from $1.25 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, llms.txt or the OpenAPI spec. Access needs a console account loaded with prepaid credits (checked 2026-11-06).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 597,
        "npmWeekly": null,
        "pypiWeekly": 912149,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://docs.x.ai",
      "rateLimitsUrl": "https://docs.x.ai/developers/rate-limits",
      "llmsTxt": "https://docs.x.ai/llms.txt",
      "openapi": "https://docs.x.ai/openapi.json",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "prepaid",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "closed-source",
        "python",
        "batch",
        "status-page",
        "bug-bounty",
        "soc2"
      ],
      "lastRelease": "2026-11-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.7,
        "grade": "BB",
        "agentReady": true,
        "rank": 152,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 8,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 90,
          "maintenance": 77,
          "payments": 20,
          "reliability": 55,
          "schema": 88,
          "security": 97,
          "transparency": 63
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": 0,
        "verdict": "Grok 4.7 at $2/$6 per million tokens, now 20% off in batch, with a public OpenAPI spec, llms.txt, API keys limited by endpoint and model, and self-serve zero data retention. The API endpoints had a 3 hour 40 minute models outage on 3 September 2026, no SLA was found, and there's no free tier or first-party SDK beyond Python.",
        "bestFor": "Agents that want a capable model at a low per-token price with built-in web and X search, remote MCP and voice, and teams that need self-serve ZDR or US-only processing.",
        "strengths": [
          "Grok 4.7 at $2/$6 per million tokens below 200K prompt tokens, with a 500K context and 20% off through the Batch API",
          "API keys restricted by endpoint and model ACLs, with QPM and TPM caps, expiry and a rotate endpoint",
          "Self-serve team-wide zero data retention, confirmed on every response by an `x-zero-data-retention` header",
          "OpenAPI 3.1 spec, llms.txt and a Markdown twin of every docs page",
          "security.txt valid to 2027-06-29 and a HackerOne bug bounty"
        ],
        "weaknesses": [
          "API models outage of about 3 hours 40 minutes on 3 September 2026, and high error rates on grok-4.6 and grok-4.5 on 17 August",
          "No SLA, no free tier for the text API, and no Retry-After header documented for 429s",
          "No stated minimum notice for retirements, and retired slugs are served by a different model at its price",
          "Remote MCP doesn't support `require_approval`, so server-side tool calls run without an approval step",
          "The terms, privacy policy and DPA at x.ai/legal answered a Cloudflare block on 6 October and 6 November 2026, so they weren't read"
        ],
        "agentNotes": [
          "Build on the Responses API at https://api.x.ai/v1. Chat Completions is labelled deprecated and the Anthropic-compatible endpoint fully deprecated",
          "Pin a dated model slug. A retired slug keeps answering from a replacement model, billed at the replacement's price",
          "Back off exponentially on 429. The per-second cap is the per-minute budget divided by 48, with a minimum of 2",
          "Set `allowed_tools` on remote MCP servers. There's no approval step, and every exposed tool enters the context",
          "Use https://us.api.x.ai/v1 when processing must stay in the US. It costs 1.1x and serves only grok-4.7 and grok-4.6"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.7
          }
        ],
        "editorialScores": {
          "ergonomics": 90,
          "maintenance": 77,
          "payments": 20,
          "reliability": 55,
          "schema": 88,
          "security": 97,
          "transparency": 52
        },
        "provenanceScore": 73,
        "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": {
        "install": "pip install xai-sdk   # or: pip install openai, with base_url https://api.x.ai/v1",
        "http": "curl https://api.x.ai/v1/responses \\\n  -H \"Authorization: Bearer $XAI_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"grok-4.7\",\"input\":\"What is the meaning of life?\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/xai-api"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Web search tool",
          "unit": "1k-requests",
          "usd": 5
        },
        {
          "item": "Code execution tool",
          "unit": "1k-requests",
          "usd": 5
        },
        {
          "item": "Collections search tool",
          "unit": "1k-requests",
          "usd": 2.5
        }
      ],
      "provenance": {
        "legalEntity": "",
        "domain": "x.ai",
        "domainRegistered": "2017-12-16",
        "domainNote": "x.ai was registered in 2017, before the company, and transferred on 2026-06-02 per RDAP. Every x.ai page except robots.txt and security.txt answered a Cloudflare block page (403) on 2026-11-06, as the legal pages did on 2026-10-06, so the contracting entity wasn't confirmed. The docs now use the name SpaceXSI and the status page SpaceXAI.",
        "endpointOnVendorDomain": true,
        "terms": "https://x.ai/legal/terms-of-service-enterprise",
        "privacy": "https://x.ai/legal/privacy-policy",
        "statusPage": "https://status.x.ai",
        "changelog": "https://docs.x.ai/developers/release-notes",
        "securityTxt": "valid",
        "checked": "2026-11-06",
        "notes": [
          "x.ai/robots.txt allows all but /tools/, with Content-Signal ai-train=yes, search=yes, ai-input=yes. docs.x.ai allows all with ai-input=yes. The x.ai pages that robots.txt allows answered a Cloudflare 'Attention Required' page, which we did not try to get past.",
          "security.txt at x.ai/.well-known/security.txt is valid to 2027-06-29, with vulnerabilities@x.ai and abuse@x.ai."
        ],
        "score": 73
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/xai-api.json",
      "live": {
        "slug": "xai-api",
        "probe": {
          "target": "https://api.x.ai/v1",
          "method": "get",
          "lastAt": "2026-11-07T19:22:45.426736159Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 193,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 178,
          "p95ms24h": 276,
          "samples24h": 210,
          "samples30d": 210,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 13,
              "ok": 13
            },
            {
              "date": "2026-11-07",
              "probes": 197,
              "ok": 197
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.x.ai",
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          "summary": "no machine-readable status found",
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        "versions": [
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        "llmsTxt": {
          "url": "https://docs.x.ai/llms.txt",
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        "pages": [
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            "kind": "privacy",
            "status": 403,
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            "url": "https://x.ai/legal/terms-of-service-enterprise",
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            "status": 403,
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    },
    "edges": [
      {
        "by": 73,
        "category": "ergonomics",
        "leads": "xai-api",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). The LiveKit guide calls the LLM API fully OpenAI-compatible, but no page documents tools or tool_choice, and the OpenAPI files allow only system, user and assistant roles (3 of 20). No structured-output or JSON mode documented (0 of 15). No prompt caching documented for shared endpoints (0 of 15). Context lengths are not stated per model; output is capped at 4,096 tokens in the API files (3 of 15). No batch API for shared endpoints (0 of 10). Inference goes through the OpenAI client; the simplismart-sdk Python package and CLI manage repositories and deployments, not inference, and a community Pipecat package exists (5 of 10). Expired keys return a documented 401, and the SDK exposes status_code, message and payload, but no error codes or bodies are listed for the inference API (6 of 15). 3+0+0+3+0+5+6 = 17.",
          "b": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with parallel calls on by default and `tool_choice` of auto, required, none or a named function (20). Guaranteed structured outputs (15). Automatic prompt caching, cached input at 0.25x on grok-4.7 ($0.50 per million) and 0.16x on grok-4.3 (15). 500,000-token context on grok-4.7 and 1,000,000 on grok-4.3, 13 of 15 for the default model's 500K. The Batch API is now 20% off on grok-4.7, 4.6 and 4.5 as well as the older models, with batch requests outside the rate limits (10 of 10, up from 5 on 6 October). One first-party SDK, `xai-sdk` for Python, with the OpenAI SDKs and Vercel's AI SDK documented as alternatives (5 of 10). Status codes documented with fixes, no Retry-After header found (12 of 15)."
        },
        "scores": {
          "a": 17,
          "b": 90
        }
      },
      {
        "by": 62,
        "category": "security",
        "leads": "xai-api",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Model reading. Named Bearer keys with an expiry chosen at creation, a 401 after expiry and immediate deletion. No scopes or per-key limits found, keys belong to the organisation, and the SDK uses a separate Playground token (20 of 30). No statement on training on API data in the terms, the privacy policy, the AI policy or the docs (0 of 20). No retention or zero-retention statement for prompts and outputs. The privacy policy covers the website only (0 of 15). The Usage page shows request counts and a per-request timeline per model, and an LLM metrics call returns token counts and timings per request id. A Simplismart article claims exportable audit trails, not documented (8 of 15). The homepage shows GDPR, ISO 27001 v2022 and AICPA SOC 2 badges, and a Simplismart article says it holds a SOC 2 Type 2 report, available on request. No trust centre was reachable, security.txt answered 404, and no disclosure policy or bug bounty was found (7 of 20). 20+0+0+8+7 = 35.",
          "b": "Model reading. Team API keys with ACLs per endpoint and per model, QPM and TPM caps, expiry, and create, rotate, disable and delete through the Management API, plus documented mTLS. GitHub secret scanning disables leaked keys and emails the owner (30). The security FAQ says SpaceXSI never trains on API inputs or outputs without explicit permission (20). Requests and responses are kept 30 days for abuse auditing, then deleted, and team admins can switch on zero data retention themselves, confirmed by an `x-zero-data-retention` header on every response (15). Console audit log and a Management API audit-events endpoint, plus optional per-key request logging (15). security.txt valid to 2027-06-29 with a HackerOne bug bounty and a separate safety contact for prompt-injection issues. SOC 2 Type 2 is claimed in the security FAQ with the reports behind an NDA in the trust centre, so 17 of 20. Remote MCP doesn't support `require_approval`, which the model checklist doesn't score but reviewers should see. New in October, a `guidelines` array lets the caller make the model decline nsfw, violence or profanity content, which the checklist doesn't score."
        },
        "scores": {
          "a": 35,
          "b": 97
        }
      },
      {
        "by": 40,
        "category": "reliability",
        "leads": "xai-api",
        "name": "Reliability",
        "reasons": {
          "a": "Hosted reading. No status page found. The docs and site link none, a search found none, and status.simplismart.ai could not be reached from our network (0). No readable incident history (5). No request or token rate limits are published for shared endpoints. The docs give GPU quotas for training, compilation and private deployments only, 1 H100 and 1 L40 on the Quotas page and 8 of each on the Organisation page (0). No 429 response, Retry-After header or retry guidance found; the OpenAPI files list only 400, 401 and 500 (0). No SLA document found. The homepage claims 99.99% uptime and a Simplismart post calls its autoscaling SLA-backed, but no terms state a commitment, and the terms provide the service as is (0). Shared endpoints carry no beta label, while Muse Spark Open is in beta (10). 0+5+0+0+0+10 = 15.",
          "b": "Status page at status.x.ai with components for the global and US API endpoints, voice, the consumer apps and, since the Cursor merger, Cursor's services, with an RSS feed (20). The feed, read on 6 November, now holds 267 incidents back to 11 August, so the whole 90-day window is readable. On the API components there were high error rates on grok-4.6 and grok-4.5 from 21:57 to 23:28 UTC on 17 August (about 90 minutes) and a models outage on the global and US endpoints from 13:30 to 17:09 UTC on 3 September (about 3 hours 40 minutes), so several majors. A 26-minute datacenter outage across the API on 22 September, voice disruptions of 12 and 28 minutes on 10 September and 6 October, a 63-minute voice and Imagine degradation on 30 October and a 37-second model degradation on 24 October add to the record (0). Rate limits published per model and tier, grok-4.7 at Tier 0 is 150 requests a second and 50M TPM, with the per-second cap derived as RPM divided by 48 (15). The rate-limits page shows exponential backoff on 429, but no Retry-After header or overload guidance was found (10 of 15). No SLA found in the docs or llms.txt (0). The Responses API has been GA since September 2025 and grok-4.7 carries no preview label (10)."
        },
        "scores": {
          "a": 15,
          "b": 55
        }
      },
      {
        "by": 37,
        "category": "schema",
        "leads": "xai-api",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Model reading. OpenAPI 3.1 files for seven LLMs and 3.0 or 3.1 files for Whisper, Flux, an LLM metrics call and training jobs. They cover a handful of the 150+ models, omit tools and response_format, show a streaming `delta` as the non-streaming response, and several name hosts on s9t.link instead of api.simplismart.live. The Llama 4 Maverick file gives `llama3_1` as its only model id, and /api-reference/openapi.json is the Flux spec (12 of 25). llms.txt and a Markdown copy of each docs page (10). The docs say when to use shared or dedicated endpoints; model pages carry one-line descriptions (10 of 20). Roles are enums, temperature is bounded 0 to 2, max_tokens 1 to 4096, and messages and model are required (10 of 15). curl and OpenAI-client Python examples. Errors are bare 400, 401 and 500 descriptions, plus an SDK example of a 404 payload (7 of 15). No changelog. Every spec reads version 1.0.0 (2 of 15). 12+10+10+10+7+2 = 51.",
          "b": "OpenAPI 3.1 document at docs.x.ai/openapi.json, 39 paths and 205 schemas on 6 November, covering Responses, Chat Completions, files, images, videos and models. The batch endpoints documented in the REST reference still aren't in it (20 of 25, applied as for gemini-api's missing Interactions API). llms.txt and a Markdown twin of every page, plus a docs MCP server (10). The models page says which model to use for code, chat, images, video and voice, and reference pages list each parameter. Reference not read in full (18 of 20). Structured outputs are guaranteed to match the schema for supported keywords, and tool arguments always conform with `strict` implicitly true (15). Examples in Python, JavaScript and curl on every guide. The debugging page lists status codes with fixes, but the cause cells for 400, 403, 404 and 415 are still empty (13 of 15). Release notes are grouped by month without day dates, and model slugs come as aliases and dated versions (12 of 15)."
        },
        "scores": {
          "a": 51,
          "b": 88
        }
      },
      {
        "by": 35,
        "category": "maintenance",
        "leads": "xai-api",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading for a closed service. Muse Spark Open was added in beta on 19 October 2026, and the docs sitemap shows pages changed on 7 October (30). No deprecation policy or notice period found (0 of 12). One dated model addition in the 90 days to 28 October and no recorded removals; the pricing page still lists Llama 3.1 405B and DeepSeek-R1, which the API reference doesn't cover, so the live model set is unclear (2 of 8). No public changelog or community channel. Support is support@simplismart.ai and a contact form, not tested (4 of 15). SDK issue replies not read, because github.com gave no readable robots.txt (0 of 10). simplismart-sdk for Python, documented with a CLI, and the OpenAI client for inference. No TypeScript SDK, and the PyPI page answered with a browser challenge, so the version and date are unchecked (6 of 15). CI not checked (0 of 10). 30+0+2+4+0+6+0 = 42.",
          "b": "Model reading. grok-imagine-image-quality and grok-imagine-image-pro retired on 2 November 2026 as announced in September, Grok Voice 3.0 and custom moderation controls in October, Grok 4.7 on 21 September (30). No minimum notice period found. Retirements come as dated migration guides, retired slugs redirect to a replacement rather than failing, billed at the replacement's price, and grok-voice-2.0 was deprecated in October with no end date (4 of 12). Shutdowns in the last 90 days with dates given in advance, `grok-voice-transcribe-1.0` on 2 October and `grok-imagine-image-quality` on 2 November (8 of 8). Release notes several times a month but dated only by month, support by email and a Discord #help channel, not tested. On xai-sdk-python a collaborator commented on 2 of the 16 most recent threads with replies, and most outside pull requests since 23 October are open without a maintainer reply (10 of 15, down from 12). The repository has CI, release and version-bump workflows (5 of 10). One current first-party SDK, `xai-sdk` 1.21.0 tagged on 23 October, Python only (10 of 15). Supported runtimes stated, Python 3.10 or later (10)."
        },
        "scores": {
          "a": 42,
          "b": 77
        }
      },
      {
        "by": 34,
        "category": "transparency",
        "leads": "xai-api",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Closed service. The terms, last updated 13 January 2023, name Verute Technologies Private Limited and Indian law but define the Service as the website, grant Simplismart a licence to use and redistribute posted Content, bar robots and automatic access, and rule out refunds. No API or platform terms were found (8 of 30). The privacy policy, effective 13 January 2023, is a website policy that says personal data is processed in India. It says nothing about prompts, outputs, logs or training, and no DPA, retention period or subprocessor list was found. A Simplismart article claims GDPR and HIPAA support (3 of 30). No deprecation policy or dated removals (0 of 20). Data goes to India per the privacy policy, and an article says workloads are kept in approved regions by scheduling policy. No subprocessor or hosting-provider list (3 of 20). 8+3+0+3 = 14.",
          "b": "Closed service under xAI's enterprise terms, with the Python SDK under Apache-2.0 (15). The docs agree with each other on no training, 30-day abuse retention, 30-day storage of stateful responses and the ZDR route, but the privacy policy, enterprise terms and DPA at x.ai/legal answered a Cloudflare block page on 6 October and again on 6 November, so they couldn't be compared (15 of 30). Dated migration guides and redirect tables for each retirement, but no written deprecation policy, and Chat Completions, Anthropic compatibility and grok-voice-2.0 are labelled deprecated with no date (12 of 20). The US regional endpoint states what stays in the US, the global endpoint guarantees no region, and no subprocessor list was readable (10 of 20)."
        },
        "scores": {
          "a": 29,
          "b": 63
        }
      }
    ],
    "facts": [
      {
        "a": "HTTP API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Verute Technologies Private Limited",
        "b": "SpaceXSI (xAI)",
        "name": "Vendor"
      },
      {
        "a": "https://api.simplismart.live",
        "b": "https://api.x.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences.",
        "b": "Proprietary service under xAI's enterprise terms of service. The Python SDK is Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-19",
        "b": "2026-11-02",
        "name": "Last release"
      },
      {
        "a": "2023-01-13",
        "b": "2026-10-27",
        "name": "Terms last updated"
      },
      {
        "a": "2023-01-13",
        "b": "2026-10-27",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "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": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "597 stars, 912k PyPI/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "xAI API (Grok) scores 71.7 (BB) on agent readiness against Simplismart's 29.5 (F), and leads in 6 of 7 scored categories. Simplismart leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Simplismart or xAI API (Grok)?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Simplismart and xAI API (Grok) need an API key?"
      },
      {
        "answer": "Yes. Simplismart has a hosted endpoint at https://api.simplismart.live and xAI API (Grok) at https://api.x.ai/v1.",
        "question": "Can an agent call Simplismart and xAI API (Grok) without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 25 against 20"
        ],
        "also": null,
        "goodFor": "Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.",
        "slug": "simplismart",
        "watchFor": "No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages"
      },
      {
        "aheadOn": [
          "Reliability, 55 against 15",
          "Schema \u0026 documentation, 88 against 51",
          "Agent ergonomics, 90 against 17",
          "Security \u0026 auth, 97 against 35",
          "Maintenance \u0026 community, 77 against 42",
          "Transparency \u0026 trust, 63 against 29"
        ],
        "also": [
          "Agent-ready, a grade of BB or better"
        ],
        "goodFor": "Agents that want a capable model at a low per-token price with built-in web and X search, remote MCP and voice, and teams that need self-serve ZDR or US-only processing.",
        "slug": "xai-api",
        "watchFor": "API models outage of about 3 hours 40 minutes on 3 September 2026, and high error rates on grok-4.6 and grok-4.5 on 17 August"
      }
    ],
    "history": {
      "simplismart": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-30",
          "delta": -0.2,
          "from": 29.7,
          "fromGrade": "F",
          "to": 29.5,
          "toGrade": "F"
        }
      ],
      "xai-api": null
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-simplismart.json",
        "title": "Amazon Bedrock vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-xai-api.json",
        "title": "Amazon Bedrock vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart.json",
        "title": "Claude API vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-xai-api.json",
        "title": "Claude API vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-simplismart.json",
        "title": "Antseed vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-xai-api.json",
        "title": "Antseed vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-simplismart.json",
        "title": "Azure OpenAI in Foundry Models vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-xai-api.json",
        "title": "Azure OpenAI in Foundry Models vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-simplismart.json",
        "title": "BlockRun.AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-xai-api.json",
        "title": "BlockRun.AI vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-simplismart.json",
        "title": "Cerebras Inference vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-xai-api.json",
        "title": "Cerebras Inference vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-simplismart.json",
        "title": "Cloudflare AI Gateway vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-xai-api.json",
        "title": "Cloudflare AI Gateway vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-xai-api"
      },
      {
        "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-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-simplismart.json",
        "title": "Cohere Chat API (Command models) vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-xai-api.json",
        "title": "Cohere Chat API (Command models) vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-simplismart.json",
        "title": "DeepInfra vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-xai-api.json",
        "title": "DeepInfra vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-simplismart.json",
        "title": "DeepSeek API vs Simplismart",
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        "json": "https://www.anchorterminal.com/compare/openrouter-vs-simplismart.json",
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        "json": "https://www.anchorterminal.com/compare/openrouter-vs-xai-api.json",
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        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-simplismart.json",
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    "panel": null,
    "scores": [
      {
        "by": 40,
        "edge": "xai-api",
        "key": "reliability",
        "name": "Reliability",
        "simplismart": 15,
        "weight": 16,
        "xai-api": 55
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 37,
        "edge": "xai-api",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "simplismart": 51,
        "weight": 13,
        "xai-api": 88
      },
      {
        "by": 73,
        "edge": "xai-api",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "simplismart": 17,
        "weight": 13,
        "xai-api": 90
      },
      {
        "by": 62,
        "edge": "xai-api",
        "key": "security",
        "name": "Security \u0026 auth",
        "simplismart": 35,
        "weight": 14,
        "xai-api": 97
      },
      {
        "by": 5,
        "edge": "simplismart",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "simplismart": 25,
        "weight": 10,
        "xai-api": 20
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 35,
        "edge": "xai-api",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "simplismart": 42,
        "weight": 7,
        "xai-api": 77
      },
      {
        "by": 34,
        "edge": "xai-api",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "simplismart": 29,
        "weight": 7,
        "xai-api": 63
      }
    ],
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    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "simplismart": "Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data.",
      "xai-api": "Grok 4.7 at $2/$6 per million tokens, now 20% off in batch, with a public OpenAPI spec, llms.txt, API keys limited by endpoint and model, and self-serve zero data retention. The API endpoints had a 3 hour 40 minute models outage on 3 September 2026, no SLA was found, and there's no free tier or first-party SDK beyond Python."
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  "markdown": "xAI API (Grok) scores 71.7 (BB) on agent readiness against Simplismart's 29.5 (F), and leads in 6 of 7 scored categories. Simplismart leads on payments \u0026 pricing. Both do llm inference.\n\n- Simplismart: grade F, 29.5/100, rank #1424 of 1510. Markdown https://www.anchorterminal.com/tools/simplismart.md · JSON https://www.anchorterminal.com/api/v1/tools/simplismart.json\n- xAI API (Grok): grade BB, 71.7/100, rank #152 of 1510. Markdown https://www.anchorterminal.com/tools/xai-api.md · JSON https://www.anchorterminal.com/api/v1/tools/xai-api.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### Simplismart (F)\n\nGood for: Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.\n\nAhead on:\n- Payments \u0026 pricing, 25 against 20\n\nWatch for: No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages\n\n### xAI API (Grok) (BB)\n\nGood for: Agents that want a capable model at a low per-token price with built-in web and X search, remote MCP and voice, and teams that need self-serve ZDR or US-only processing.\n\nAhead on:\n- Reliability, 55 against 15\n- Schema \u0026 documentation, 88 against 51\n- Agent ergonomics, 90 against 17\n- Security \u0026 auth, 97 against 35\n- Maintenance \u0026 community, 77 against 42\n- Transparency \u0026 trust, 63 against 29\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: API models outage of about 3 hours 40 minutes on 3 September 2026, and high error rates on grok-4.6 and grok-4.5 on 17 August\n\n\n## Why the edge\n\n### Agent ergonomics: xAI API (Grok) +73\n\n- Simplismart (17): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). The LiveKit guide calls the LLM API fully OpenAI-compatible, but no page documents tools or tool_choice, and the OpenAPI files allow only system, user and assistant roles (3 of 20). No structured-output or JSON mode documented (0 of 15). No prompt caching documented for shared endpoints (0 of 15). Context lengths are not stated per model; output is capped at 4,096 tokens in the API files (3 of 15). No batch API for shared endpoints (0 of 10). Inference goes through the OpenAI client; the simplismart-sdk Python package and CLI manage repositories and deployments, not inference, and a community Pipecat package exists (5 of 10). Expired keys return a documented 401, and the SDK exposes status_code, message and payload, but no error codes or bodies are listed for the inference API (6 of 15). 3+0+0+3+0+5+6 = 17.\n- xAI API (Grok) (90): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with parallel calls on by default and `tool_choice` of auto, required, none or a named function (20). Guaranteed structured outputs (15). Automatic prompt caching, cached input at 0.25x on grok-4.7 ($0.50 per million) and 0.16x on grok-4.3 (15). 500,000-token context on grok-4.7 and 1,000,000 on grok-4.3, 13 of 15 for the default model's 500K. The Batch API is now 20% off on grok-4.7, 4.6 and 4.5 as well as the older models, with batch requests outside the rate limits (10 of 10, up from 5 on 6 October). One first-party SDK, `xai-sdk` for Python, with the OpenAI SDKs and Vercel's AI SDK documented as alternatives (5 of 10). Status codes documented with fixes, no Retry-After header found (12 of 15).\n\n### Security \u0026 auth: xAI API (Grok) +62\n\n- Simplismart (35): Model reading. Named Bearer keys with an expiry chosen at creation, a 401 after expiry and immediate deletion. No scopes or per-key limits found, keys belong to the organisation, and the SDK uses a separate Playground token (20 of 30). No statement on training on API data in the terms, the privacy policy, the AI policy or the docs (0 of 20). No retention or zero-retention statement for prompts and outputs. The privacy policy covers the website only (0 of 15). The Usage page shows request counts and a per-request timeline per model, and an LLM metrics call returns token counts and timings per request id. A Simplismart article claims exportable audit trails, not documented (8 of 15). The homepage shows GDPR, ISO 27001 v2022 and AICPA SOC 2 badges, and a Simplismart article says it holds a SOC 2 Type 2 report, available on request. No trust centre was reachable, security.txt answered 404, and no disclosure policy or bug bounty was found (7 of 20). 20+0+0+8+7 = 35.\n- xAI API (Grok) (97): Model reading. Team API keys with ACLs per endpoint and per model, QPM and TPM caps, expiry, and create, rotate, disable and delete through the Management API, plus documented mTLS. GitHub secret scanning disables leaked keys and emails the owner (30). The security FAQ says SpaceXSI never trains on API inputs or outputs without explicit permission (20). Requests and responses are kept 30 days for abuse auditing, then deleted, and team admins can switch on zero data retention themselves, confirmed by an `x-zero-data-retention` header on every response (15). Console audit log and a Management API audit-events endpoint, plus optional per-key request logging (15). security.txt valid to 2027-06-29 with a HackerOne bug bounty and a separate safety contact for prompt-injection issues. SOC 2 Type 2 is claimed in the security FAQ with the reports behind an NDA in the trust centre, so 17 of 20. Remote MCP doesn't support `require_approval`, which the model checklist doesn't score but reviewers should see. New in October, a `guidelines` array lets the caller make the model decline nsfw, violence or profanity content, which the checklist doesn't score.\n\n### Reliability: xAI API (Grok) +40\n\n- Simplismart (15): Hosted reading. No status page found. The docs and site link none, a search found none, and status.simplismart.ai could not be reached from our network (0). No readable incident history (5). No request or token rate limits are published for shared endpoints. The docs give GPU quotas for training, compilation and private deployments only, 1 H100 and 1 L40 on the Quotas page and 8 of each on the Organisation page (0). No 429 response, Retry-After header or retry guidance found; the OpenAPI files list only 400, 401 and 500 (0). No SLA document found. The homepage claims 99.99% uptime and a Simplismart post calls its autoscaling SLA-backed, but no terms state a commitment, and the terms provide the service as is (0). Shared endpoints carry no beta label, while Muse Spark Open is in beta (10). 0+5+0+0+0+10 = 15.\n- xAI API (Grok) (55): Status page at status.x.ai with components for the global and US API endpoints, voice, the consumer apps and, since the Cursor merger, Cursor's services, with an RSS feed (20). The feed, read on 6 November, now holds 267 incidents back to 11 August, so the whole 90-day window is readable. On the API components there were high error rates on grok-4.6 and grok-4.5 from 21:57 to 23:28 UTC on 17 August (about 90 minutes) and a models outage on the global and US endpoints from 13:30 to 17:09 UTC on 3 September (about 3 hours 40 minutes), so several majors. A 26-minute datacenter outage across the API on 22 September, voice disruptions of 12 and 28 minutes on 10 September and 6 October, a 63-minute voice and Imagine degradation on 30 October and a 37-second model degradation on 24 October add to the record (0). Rate limits published per model and tier, grok-4.7 at Tier 0 is 150 requests a second and 50M TPM, with the per-second cap derived as RPM divided by 48 (15). The rate-limits page shows exponential backoff on 429, but no Retry-After header or overload guidance was found (10 of 15). No SLA found in the docs or llms.txt (0). The Responses API has been GA since September 2025 and grok-4.7 carries no preview label (10).\n\n### Schema \u0026 documentation: xAI API (Grok) +37\n\n- Simplismart (51): Model reading. OpenAPI 3.1 files for seven LLMs and 3.0 or 3.1 files for Whisper, Flux, an LLM metrics call and training jobs. They cover a handful of the 150+ models, omit tools and response_format, show a streaming `delta` as the non-streaming response, and several name hosts on s9t.link instead of api.simplismart.live. The Llama 4 Maverick file gives `llama3_1` as its only model id, and /api-reference/openapi.json is the Flux spec (12 of 25). llms.txt and a Markdown copy of each docs page (10). The docs say when to use shared or dedicated endpoints; model pages carry one-line descriptions (10 of 20). Roles are enums, temperature is bounded 0 to 2, max_tokens 1 to 4096, and messages and model are required (10 of 15). curl and OpenAI-client Python examples. Errors are bare 400, 401 and 500 descriptions, plus an SDK example of a 404 payload (7 of 15). No changelog. Every spec reads version 1.0.0 (2 of 15). 12+10+10+10+7+2 = 51.\n- xAI API (Grok) (88): OpenAPI 3.1 document at docs.x.ai/openapi.json, 39 paths and 205 schemas on 6 November, covering Responses, Chat Completions, files, images, videos and models. The batch endpoints documented in the REST reference still aren't in it (20 of 25, applied as for gemini-api's missing Interactions API). llms.txt and a Markdown twin of every page, plus a docs MCP server (10). The models page says which model to use for code, chat, images, video and voice, and reference pages list each parameter. Reference not read in full (18 of 20). Structured outputs are guaranteed to match the schema for supported keywords, and tool arguments always conform with `strict` implicitly true (15). Examples in Python, JavaScript and curl on every guide. The debugging page lists status codes with fixes, but the cause cells for 400, 403, 404 and 415 are still empty (13 of 15). Release notes are grouped by month without day dates, and model slugs come as aliases and dated versions (12 of 15).\n\n### Maintenance \u0026 community: xAI API (Grok) +35\n\n- Simplismart (42): Model reading for a closed service. Muse Spark Open was added in beta on 19 October 2026, and the docs sitemap shows pages changed on 7 October (30). No deprecation policy or notice period found (0 of 12). One dated model addition in the 90 days to 28 October and no recorded removals; the pricing page still lists Llama 3.1 405B and DeepSeek-R1, which the API reference doesn't cover, so the live model set is unclear (2 of 8). No public changelog or community channel. Support is support@simplismart.ai and a contact form, not tested (4 of 15). SDK issue replies not read, because github.com gave no readable robots.txt (0 of 10). simplismart-sdk for Python, documented with a CLI, and the OpenAI client for inference. No TypeScript SDK, and the PyPI page answered with a browser challenge, so the version and date are unchecked (6 of 15). CI not checked (0 of 10). 30+0+2+4+0+6+0 = 42.\n- xAI API (Grok) (77): Model reading. grok-imagine-image-quality and grok-imagine-image-pro retired on 2 November 2026 as announced in September, Grok Voice 3.0 and custom moderation controls in October, Grok 4.7 on 21 September (30). No minimum notice period found. Retirements come as dated migration guides, retired slugs redirect to a replacement rather than failing, billed at the replacement's price, and grok-voice-2.0 was deprecated in October with no end date (4 of 12). Shutdowns in the last 90 days with dates given in advance, `grok-voice-transcribe-1.0` on 2 October and `grok-imagine-image-quality` on 2 November (8 of 8). Release notes several times a month but dated only by month, support by email and a Discord #help channel, not tested. On xai-sdk-python a collaborator commented on 2 of the 16 most recent threads with replies, and most outside pull requests since 23 October are open without a maintainer reply (10 of 15, down from 12). The repository has CI, release and version-bump workflows (5 of 10). One current first-party SDK, `xai-sdk` 1.21.0 tagged on 23 October, Python only (10 of 15). Supported runtimes stated, Python 3.10 or later (10).\n\n### Transparency \u0026 trust: xAI API (Grok) +34\n\n- Simplismart (29): Closed service. The terms, last updated 13 January 2023, name Verute Technologies Private Limited and Indian law but define the Service as the website, grant Simplismart a licence to use and redistribute posted Content, bar robots and automatic access, and rule out refunds. No API or platform terms were found (8 of 30). The privacy policy, effective 13 January 2023, is a website policy that says personal data is processed in India. It says nothing about prompts, outputs, logs or training, and no DPA, retention period or subprocessor list was found. A Simplismart article claims GDPR and HIPAA support (3 of 30). No deprecation policy or dated removals (0 of 20). Data goes to India per the privacy policy, and an article says workloads are kept in approved regions by scheduling policy. No subprocessor or hosting-provider list (3 of 20). 8+3+0+3 = 14.\n- xAI API (Grok) (63): Closed service under xAI's enterprise terms, with the Python SDK under Apache-2.0 (15). The docs agree with each other on no training, 30-day abuse retention, 30-day storage of stateful responses and the ZDR route, but the privacy policy, enterprise terms and DPA at x.ai/legal answered a Cloudflare block page on 6 October and again on 6 November, so they couldn't be compared (15 of 30). Dated migration guides and redirect tables for each retirement, but no written deprecation policy, and Chat Completions, Anthropic compatibility and grok-voice-2.0 are labelled deprecated with no date (12 of 20). The US regional endpoint states what stays in the US, the global endpoint guarantees no region, and no subprocessor list was readable (10 of 20).\n\n## Score by category\n\n| Category | Weight | Simplismart | xAI API (Grok) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 15 | 55 | xAI API (Grok) +40 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 51 | 88 | xAI API (Grok) +37 |\n| Agent ergonomics | 13% (16.2 this run) | 17 | 90 | xAI API (Grok) +73 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 97 | xAI API (Grok) +62 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 25 | 20 | Simplismart +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 42 | 77 | xAI API (Grok) +35 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 29 | 63 | xAI API (Grok) +34 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **29.5 · F** | **71.7 · BB** | |\n\n## Facts side by side\n\n| Fact | Simplismart | xAI API (Grok) |\n| --- | --- | --- |\n| Kind | HTTP API | Model API |\n| Vendor | Verute Technologies Private Limited | SpaceXSI (xAI) |\n| Hosted endpoint | `https://api.simplismart.live` | `https://api.x.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences. | Proprietary service under xAI's enterprise terms of service. The Python SDK is Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-19 | 2026-11-02 |\n| Terms last updated | 2023-01-13 | 2026-10-27 |\n| Privacy policy last updated | 2023-01-13 | 2026-10-27 |\n| Customer content may train models | not found in the text | yes |\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 | yes |\n| Popularity | none | 597 stars, 912k PyPI/wk |\n\n## How the scores have moved\n\n### Simplismart\n\n- -0.2 on 30 October 2026: checklist\n\n### xAI API (Grok)\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Simplismart.** Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data.\n\n**xAI API (Grok).** Grok 4.7 at $2/$6 per million tokens, now 20% off in batch, with a public OpenAPI spec, llms.txt, API keys limited by endpoint and model, and self-serve zero data retention. The API endpoints had a 3 hour 40 minute models outage on 3 September 2026, no SLA was found, and there's no free tier or first-party SDK beyond Python.\n\n## Before you call either\n\n### Simplismart\n\n1. Point an OpenAI-compatible client at https://api.simplismart.live with SIMPLISMART_API_KEY as a Bearer token, and take model ids from the marketplace or the per-model API pages.\n2. Set a key expiry and rotate before midnight UTC on the expiry date, because an expired key returns 401.\n3. Cap retries yourself with exponential backoff, because no rate limits, 429 format or retry guidance are published.\n4. Check that a model supports tools or JSON output with a test call before relying on it, because neither is documented.\n5. Confirm the per-token price of the exact model in the console before running large jobs, because the public price list is incomplete.\n\n### xAI API (Grok)\n\n1. Build on the Responses API at https://api.x.ai/v1. Chat Completions is labelled deprecated and the Anthropic-compatible endpoint fully deprecated\n2. Pin a dated model slug. A retired slug keeps answering from a replacement model, billed at the replacement's price\n3. Back off exponentially on 429. The per-second cap is the per-minute budget divided by 48, with a minimum of 2\n4. Set `allowed_tools` on remote MCP servers. There's no approval step, and every exposed tool enters the context\n5. Use https://us.api.x.ai/v1 when processing must stay in the US. It costs 1.1x and serves only grok-4.7 and grok-4.6\n\n## Questions\n\n### Which is better for AI agents, Simplismart or xAI API (Grok)?\n\nxAI API (Grok) scores 71.7 (BB) on agent readiness against Simplismart's 29.5 (F), and leads in 6 of 7 scored categories. Simplismart leads on payments \u0026 pricing.\n\n### Do Simplismart and xAI API (Grok) need an API key?\n\nBoth need an API key.\n\n### Can an agent call Simplismart and xAI API (Grok) without installing anything?\n\nYes. Simplismart has a hosted endpoint at https://api.simplismart.live and xAI API (Grok) at https://api.x.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/simplismart-vs-xai-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/simplismart-vs-xai-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"simplismart\", \"b\": \"xai-api\"}`. From a terminal: `anchor compare simplismart xai-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/simplismart.json and https://www.anchorterminal.com/api/v1/tools/xai-api.json\n\n## Other comparisons with Simplismart or xAI API (Grok)\n\n- [Amazon Bedrock vs Simplismart](https://www.anchorterminal.com/compare/amazon-bedrock-vs-simplismart.md)\n- [Amazon Bedrock vs xAI API (Grok)](https://www.anchorterminal.com/compare/amazon-bedrock-vs-xai-api.md)\n- [Claude API vs Simplismart](https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart.md)\n- [Claude API vs xAI API (Grok)](https://www.anchorterminal.com/compare/anthropic-api-vs-xai-api.md)\n- [Antseed vs Simplismart](https://www.anchorterminal.com/compare/antseed-vs-simplismart.md)\n- [Antseed vs xAI API (Grok)](https://www.anchorterminal.com/compare/antseed-vs-xai-api.md)\n- [Azure OpenAI in Foundry Models vs Simplismart](https://www.anchorterminal.com/compare/azure-openai-vs-simplismart.md)\n- [Azure 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