{
  "data": {
    "a": {
      "slug": "liquid-d1",
      "name": "Liquid d1",
      "vendor": "Liquid AI",
      "vendorUrl": "https://www.liquid.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "d1 is Liquid AI's decision model family. It answers typed yes or no, choice and score questions about text and images with probabilities, through a hosted API and the open-weight d1-3B and d1-omni-600M models.",
      "url": "https://www.anchorterminal.com/tools/liquid-d1",
      "markdownUrl": "https://www.anchorterminal.com/tools/liquid-d1.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/liquid-d1.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/liquid-d1.json",
      "repo": "https://huggingface.co/LiquidAI/d1-3B",
      "license": "The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.liquid.ai/decisions/v1/systemone",
      "packages": [],
      "auth": "api-key",
      "authNotes": "A key created at console.liquid.ai under Dashboard, API Keys, after registering and joining an organisation, sent as a Bearer header. Keys start with `liquid_`. No scopes, expiry or rotation were found in the reviewed documentation. The weights download from Hugging Face without an account.",
      "pricing": "freemium",
      "pricingNotes": "The hosted `d1` model costs $0.04 per million input tokens and bills no output tokens, per the launch post of 5 October 2026 (https://www.liquid.ai/blog/d1-decision-model). Each question is billed as its own prompt, and an image counts 1.5 tokens per 32 by 32 pixel patch. A text-only `d1:free` model exists, with no published limits. Liquid's pricing page covers model licensing only. The open weights are free to run, and commercial use is free below $10 million in annual revenue.",
      "priceSummary": "Freemium",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the d1 docs, the launch posts or the terms of service (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.liquid.ai/lfm/models/decision-models",
      "llmsTxt": "https://docs.liquid.ai/llms.txt",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "source-available",
        "self-hosted",
        "llms-txt",
        "free-tier",
        "usage-priced"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 43.5,
        "grade": "E",
        "agentReady": false,
        "rank": 672,
        "ranked": true,
        "rankOf": 722,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 60,
          "payments": 27,
          "reliability": 21,
          "schema": 59,
          "security": 35,
          "transparency": 54
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.",
        "bestFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.",
        "strengths": [
          "$0.04 per million input tokens with no output tokens billed, per the launch post, and a text-only `d1:free` model",
          "d1-3B (3.12B parameters, 32,768-token context) and d1-omni-600M are ungated on Hugging Face, with GGUF builds",
          "llama.cpp's server README documents `/v1/systemone` for d1, so the same request runs locally",
          "The hosted `d1` model accepts up to 8 images a request as Base64 data",
          "Docs are served as Markdown with an llms.txt index, and say when to use a language model instead"
        ],
        "weaknesses": [
          "The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found",
          "No status page, rate limits, SLA or error reference found for the hosted API",
          "The LFM Open Licence v1.0 ends free commercial use at $10 million in annual revenue, so the weights aren't open source",
          "No OpenAPI file, API changelog or versioned model IDs. The hosted models are `d1` and `d1:free`",
          "No SDK of its own. TypeSafe's SDKs are the documented clients and don't send images"
        ],
        "agentNotes": [
          "POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint",
          "Use `d1` for images. `d1:free` is text-only and answers that it does not accept images",
          "Send images as Base64 data URLs in `images`, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused",
          "Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again",
          "Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 43.5
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 60,
          "payments": 27,
          "reliability": 21,
          "schema": 59,
          "security": 35,
          "transparency": 46
        },
        "provenanceScore": 62
      },
      "connect": {
        "install": "pip install typesafe-sdk   # or: npm install @typesafe-ai/sdk",
        "http": "curl -s https://api.liquid.ai/decisions/v1/systemone \\\n  -H \"Authorization: Bearer $LIQUID_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"d1\",\"state\":\"I have been waiting over three weeks for my order and nobody has responded to my emails.\",\"questions\":{\"is_complaint\":{\"type\":\"noul\",\"instructions\":\"Is this message a complaint from the customer?\"}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/liquid-d1"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "d1 input",
          "unit": "1m-tokens",
          "usd": 0.04,
          "note": "No output tokens. Each question is billed as its own prompt, images at 1.5 tokens per 32 by 32 pixel patch"
        }
      ],
      "provenance": {
        "legalEntity": "Liquid AI, Inc.",
        "domain": "liquid.ai",
        "domainRegistered": "2017-12-16",
        "endpointOnVendorDomain": true,
        "terms": "https://www.liquid.ai/terms-conditions",
        "privacy": "https://www.liquid.ai/privacy-policy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The terms of service (updated 30 September 2026) name Liquid AI, Inc., a Delaware corporation, and Massachusetts law. The privacy policy carries the same date.",
          "RDAP gives liquid.ai a registration date of 16 December 2017 and a transfer on 20 April 2023. The site footer says the company was established in 2023.",
          "The hosted endpoint is on api.liquid.ai. The weights sit on huggingface.co under the LiquidAI organisation.",
          "/.well-known/security.txt returned 404 on www.liquid.ai, liquid.ai and api.liquid.ai.",
          "No status page is linked from the site, the docs or the launch posts, and status.liquid.ai did not answer our reader. No changelog for the API or the docs was found. docs.liquid.ai/changelog returned 404.",
          "A trust centre at trust.liquid.ai is hosted by Vanta and renders only with JavaScript, so its contents are unread."
        ],
        "score": 62
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/liquid-d1.json",
      "live": {
        "slug": "liquid-d1",
        "probe": {
          "target": "https://api.liquid.ai/decisions/v1/systemone",
          "method": "get",
          "lastAt": "2026-10-08T19:52:54.560591521Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 151,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 164,
          "p95ms24h": 391,
          "samples24h": 50,
          "samples30d": 50,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 50,
              "ok": 50
            }
          ]
        },
        "securityTxt": {
          "url": "https://liquid.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:08.129742302Z"
        },
        "pages": [
          {
            "url": "https://www.liquid.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:45.318974429Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "42d9e4ba3a39"
          },
          {
            "url": "https://www.liquid.ai/terms-conditions",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:47.564454912Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8fd8f3573ffc"
          }
        ],
        "updatedAt": "2026-10-08T19:52:54.560591521Z"
      }
    },
    "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category.",
    "b": {
      "slug": "openai-decisions-api",
      "name": "OpenAI Decisions API",
      "vendor": "OpenAI",
      "vendorUrl": "https://developers.openai.com",
      "kind": "model",
      "category": "decision-models",
      "summary": "The Decisions API is an OpenAI endpoint, in public beta since 6 October 2026, that reads text and images and returns typed answers with probabilities, a predicate, a choice from a fixed set or a rubric score.",
      "url": "https://www.anchorterminal.com/tools/openai-decisions-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json",
      "repo": "https://github.com/openai/openai-python",
      "license": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.openai.com/v1/decisions",
      "packages": [
        {
          "registry": "pypi",
          "name": "openai"
        },
        {
          "registry": "npm",
          "name": "openai"
        }
      ],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with an ordinary OpenAI project key, self-serve from the platform dashboard after sign-up. No waitlist or separate approval for the beta was found. Keys carry their own permissions under the access-control guide (https://developers.openai.com/api/docs/guides/rbac). We didn't confirm that a key can be restricted to `/v1/decisions` alone.",
      "pricing": "usage",
      "pricingNotes": "$0.10 per million input tokens on `gpt-6-luna`, with no output, cache-read or cache-write charge (https://developers.openai.com/api/docs/guides/decisions). Long-context input multipliers and regional processing premiums apply, which on GPT-6 Luna are 2x input over 272,000 tokens and 10 per cent. No sandbox. The rate-limits guide lists a Free tier capped at $100 a month, but GPT-6 Luna's limits start at the Build tier, reached with $5 of credit (https://developers.openai.com/api/docs/guides/rate-limits).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Decisions guide, the API reference or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 31774,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://developers.openai.com/api/docs/guides/decisions",
      "llmsTxt": "https://developers.openai.com/llms.txt",
      "openapi": "https://github.com/openai/openai-openapi",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "closed-source",
        "openapi",
        "llms-txt",
        "python",
        "typescript",
        "go",
        "java",
        "usage-priced",
        "status-page",
        "beta"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.5,
        "grade": "BB",
        "agentReady": true,
        "rank": 107,
        "ranked": true,
        "rankOf": 722,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 87,
          "maintenance": 77,
          "payments": 30,
          "reliability": 53,
          "schema": 89,
          "security": 83,
          "transparency": 83
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found.",
        "bestFor": "High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.",
        "strengths": [
          "Three typed question kinds, predicate, choice and score, with per-option probabilities and up to 200 questions about one input in a call",
          "$0.10 per million input tokens on `gpt-6-luna`, with no output, cache-read or cache-write charge",
          "Text and up to 128 inline images in one request",
          "The official OpenAPI 3.1 document carries `POST /decisions` with typed limits, and five official SDKs support it",
          "Not used for training by default, eligible for Zero Data Retention and HIPAA use, per OpenAI's data-controls guide"
        ],
        "weaknesses": [
          "Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date",
          "One model alias, `gpt-6-luna`, with no dated snapshot to pin",
          "Images must be inline base64 data URLs. Hosted image URLs and `file_id` inputs aren't accepted",
          "Not among the endpoints the Batch guide lists, and no SLA covering it was found",
          "No guidance on adversarial or injected content was found in the guide or the reference"
        ],
        "agentNotes": [
          "Put independent questions about one input in a single `questions` array. Send a separate request when a question depends on an earlier answer",
          "Check each answer's `type` before reading it. A question can come back as `refusal` while the others in the same request are answered",
          "Encode images as base64 data URLs. Hosted URLs and `file_id` inputs are rejected",
          "Give a `choice` question a fallback value such as `other`, and set thresholds from your own labelled examples",
          "Use Python SDK 3.26.0 or JavaScript 7.30.0 or later, and follow `Retry-After` on 429 and 503"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.5
          }
        ],
        "editorialScores": {
          "ergonomics": 87,
          "maintenance": 77,
          "payments": 30,
          "reliability": 53,
          "schema": 89,
          "security": 83,
          "transparency": 71
        },
        "provenanceScore": 94
      },
      "connect": {
        "install": "pip install openai   # or: npm i openai",
        "http": "curl https://api.openai.com/v1/decisions \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"gpt-6-luna\",\"input\":\"I was charged twice for my order.\",\"questions\":[{\"type\":\"choice\",\"name\":\"department\",\"instructions\":\"Which department should handle this complaint?\",\"choices\":[{\"value\":\"billing\",\"description\":\"Payments, invoices, and refunds.\"},{\"value\":\"technical\",\"description\":\"Problems using the product.\"},{\"value\":\"other\",\"description\":\"Requests outside these categories.\"}]}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/openai-decisions-api"
      },
      "sameCompany": [
        "openai-api",
        "openai-embeddings",
        "openai-moderation",
        "openai-image-api",
        "openai-sora",
        "openai-agents-sdk",
        "openai-codex"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "gpt-6-luna input on /v1/decisions",
          "unit": "1m-tokens",
          "usd": 0.1,
          "note": "No output, cache-read or cache-write charge"
        }
      ],
      "provenance": {
        "legalEntity": "OpenAI OpCo, LLC",
        "domain": "openai.com",
        "domainRegistered": "2007-01-19",
        "endpointOnVendorDomain": true,
        "terms": "https://openai.com/policies/services-agreement/",
        "privacy": "https://openai.com/policies/privacy-policy/",
        "statusPage": "https://status.openai.com",
        "changelog": "https://developers.openai.com/api/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "Same entity, terms and privacy policy as the OpenAI API listing. openai.com answered 403 to our reader on 8 October, so the legal entity and the two policy URLs stand per that listing's check of 26 September and weren't re-read.",
          "RDAP gives openai.com a registration date of 2007-01-19, before OpenAI existed.",
          "status.openai.com lists a Decisions component under APIs, read on 8 October.",
          "The changelog entry for the release is dated 6 October 2026.",
          "openai.com/.well-known/security.txt is PGP-signed and names a Bugcrowd contact and a disclosure policy. It has no Expires field, which RFC 9116 requires."
        ],
        "score": 94
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.json",
      "live": {
        "slug": "openai-decisions-api",
        "probe": {
          "target": "https://api.openai.com/v1/decisions",
          "method": "get",
          "lastAt": "2026-10-08T19:52:57.905548744Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 140,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 138,
          "p95ms24h": 180,
          "samples24h": 50,
          "samples30d": 50,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 50,
              "ok": 50
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.openai.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-08T19:50:50.262714516Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "openai/openai-python",
            "version": "v3.26.1",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:23:39.461409891Z"
          },
          {
            "registry": "npm",
            "name": "openai",
            "version": "7.30.1",
            "seenAt": "2026-10-08T16:23:39.419090152Z"
          },
          {
            "registry": "pypi",
            "name": "openai",
            "version": "3.26.1",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:23:39.293419418Z"
          }
        ],
        "githubStars": 31777,
        "npmWeekly": 50858207,
        "pypiWeekly": 74231726,
        "securityTxt": {
          "url": "https://openai.com/.well-known/security.txt",
          "state": "valid",
          "checkedAt": "2026-10-08T15:38:50.073851341Z"
        },
        "updatedAt": "2026-10-08T19:52:57.905548744Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Liquid AI",
        "b": "OpenAI",
        "name": "Vendor"
      },
      {
        "a": "https://api.liquid.ai/decisions/v1/systemone",
        "b": "https://api.openai.com/v1/decisions",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "not published",
        "b": "$0.10 per 1M tokens",
        "name": "Price for inference decision"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published",
        "b": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "2026-09-30",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-30",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "32k stars",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category.",
        "question": "Which is better for AI agents, Liquid d1 or OpenAI Decisions API?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Liquid d1 and OpenAI Decisions API need an API key?"
      },
      {
        "answer": "Yes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone and OpenAI Decisions API at https://api.openai.com/v1/decisions.",
        "question": "Can an agent call Liquid d1 and OpenAI Decisions API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
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        "goodFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.",
        "slug": "liquid-d1",
        "watchFor": "The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found"
      },
      {
        "aheadOn": [
          "Reliability, 53 against 21",
          "Schema \u0026 documentation, 89 against 59",
          "Agent ergonomics, 87 against 63",
          "Security \u0026 auth, 83 against 35",
          "Maintenance \u0026 community, 77 against 60",
          "Transparency \u0026 trust, 83 against 54"
        ],
        "also": [
          "Agent-ready, a grade of BB or better"
        ],
        "goodFor": "High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.",
        "slug": "openai-decisions-api",
        "watchFor": "Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date"
      }
    ],
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        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.json",
        "title": "Clef vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.json",
        "title": "Laya vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1"
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      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.json",
        "title": "Laya vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.json",
        "title": "Kev vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.json",
        "title": "Kev vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json",
        "title": "Liquid d1 vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider"
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      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json",
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        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.json",
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      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.json",
        "title": "OpenAI Decisions API vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela"
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    "scores": [
      {
        "by": 32,
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        "key": "reliability",
        "liquid-d1": 21,
        "name": "Reliability",
        "openai-decisions-api": 53,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 30,
        "edge": "openai-decisions-api",
        "key": "schema",
        "liquid-d1": 59,
        "name": "Schema \u0026 documentation",
        "openai-decisions-api": 89,
        "weight": 13
      },
      {
        "by": 24,
        "edge": "openai-decisions-api",
        "key": "ergonomics",
        "liquid-d1": 63,
        "name": "Agent ergonomics",
        "openai-decisions-api": 87,
        "weight": 13
      },
      {
        "by": 48,
        "edge": "openai-decisions-api",
        "key": "security",
        "liquid-d1": 35,
        "name": "Security \u0026 auth",
        "openai-decisions-api": 83,
        "weight": 14
      },
      {
        "by": 3,
        "edge": "openai-decisions-api",
        "key": "payments",
        "liquid-d1": 27,
        "name": "Payments \u0026 pricing",
        "openai-decisions-api": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 17,
        "edge": "openai-decisions-api",
        "key": "maintenance",
        "liquid-d1": 60,
        "name": "Maintenance \u0026 community",
        "openai-decisions-api": 77,
        "weight": 7
      },
      {
        "by": 29,
        "edge": "openai-decisions-api",
        "key": "transparency",
        "liquid-d1": 54,
        "name": "Transparency \u0026 trust",
        "openai-decisions-api": 83,
        "weight": 7
      }
    ],
    "summary": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category. Both do inference decision.",
    "verdicts": {
      "liquid-d1": "The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.",
      "openai-decisions-api": "Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found."
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  "markdown": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category. Both do inference decision.\n\n- Liquid d1: grade E, 43.5/100, rank #672 of 722. Markdown https://www.anchorterminal.com/tools/liquid-d1.md · JSON https://www.anchorterminal.com/api/v1/tools/liquid-d1.json\n- OpenAI Decisions API: grade BB, 71.5/100, rank #107 of 722. Markdown https://www.anchorterminal.com/tools/openai-decisions-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n\n## Which one, for what\n\n### Liquid d1 (E)\n\nGood for: Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.\n\nWatch for: The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found\n\n### OpenAI Decisions API (BB)\n\nGood for: High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.\n\nAhead on:\n- Reliability, 53 against 21\n- Schema \u0026 documentation, 89 against 59\n- Agent ergonomics, 87 against 63\n- Security \u0026 auth, 83 against 35\n- Maintenance \u0026 community, 77 against 60\n- Transparency \u0026 trust, 83 against 54\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date\n\n\n## Score by category\n\n| Category | Weight | Liquid d1 | OpenAI Decisions API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 21 | 53 | OpenAI Decisions API +32 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 59 | 89 | OpenAI Decisions API +30 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 87 | OpenAI Decisions API +24 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 83 | OpenAI Decisions API +48 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 27 | 30 | OpenAI Decisions API +3 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 60 | 77 | OpenAI Decisions API +17 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 83 | OpenAI Decisions API +29 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **43.5 · E** | **71.5 · BB** | |\n\n## Facts side by side\n\n| Fact | Liquid d1 | OpenAI Decisions API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Liquid AI | OpenAI |\n| Hosted endpoint | `https://api.liquid.ai/decisions/v1/systemone` | `https://api.openai.com/v1/decisions` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| Price for inference decision | not published | $0.10 per 1M tokens |\n| x402 | no | no |\n| Licence | The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published | Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-07 | 2026-10-06 |\n| Terms last updated | 2026-09-30 | couldn't be read |\n| Privacy policy last updated | 2026-09-30 | couldn't be read |\n| Customer content may train models | yes | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | none | 32k stars |\n\n## Verdicts\n\n**Liquid d1.** The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.\n\n**OpenAI Decisions API.** Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found.\n\n## Before you call either\n\n### Liquid d1\n\n1. POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint\n2. Use `d1` for images. `d1:free` is text-only and answers that it does not accept images\n3. Send images as Base64 data URLs in `images`, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused\n4. Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again\n5. Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data\n\n### OpenAI Decisions API\n\n1. Put independent questions about one input in a single `questions` array. Send a separate request when a question depends on an earlier answer\n2. Check each answer's `type` before reading it. A question can come back as `refusal` while the others in the same request are answered\n3. Encode images as base64 data URLs. Hosted URLs and `file_id` inputs are rejected\n4. Give a `choice` question a fallback value such as `other`, and set thresholds from your own labelled examples\n5. Use Python SDK 3.26.0 or JavaScript 7.30.0 or later, and follow `Retry-After` on 429 and 503\n\n## Questions\n\n### Which is better for AI agents, Liquid d1 or OpenAI Decisions API?\n\nOpenAI Decisions API scores 71.5 (BB) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category.\n\n### Do Liquid d1 and OpenAI Decisions API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Liquid d1 and OpenAI Decisions API without installing anything?\n\nYes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone and OpenAI Decisions API at https://api.openai.com/v1/decisions.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"liquid-d1\", \"b\": \"openai-decisions-api\"}`. From a terminal: `anchor compare liquid-d1 openai-decisions-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/liquid-d1.json and https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n\n## Other comparisons with Liquid d1 or OpenAI Decisions API\n\n- [Clef vs Liquid d1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1.md)\n- [Clef vs OpenAI Decisions API](https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.md)\n- [Laya vs Liquid d1](https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.md)\n- [Laya vs OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)\n- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [OpenAI Decisions API vs Jev](https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.md)\n- [OpenAI Decisions API vs Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.md)\n",
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    "description": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.",
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