{
  "data": {
    "a": {
      "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": 102,
        "ranked": true,
        "rankOf": 629,
        "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": "2026-10-08T18:20:36.506096634Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 129,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 139,
          "p95ms24h": 203,
          "samples24h": 33,
          "samples30d": 33,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 33,
              "ok": 33
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.openai.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-08T18:22:08.605649203Z"
        },
        "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": "2026-10-08T18:22:08.605649203Z"
      }
    },
    "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Jev's 62.1 (B), and leads in 6 of 7 scored categories. Jev leads on reliability.",
    "b": {
      "slug": "typesafe-jev",
      "name": "Jev",
      "vendor": "TypeSafe AI",
      "vendorUrl": "https://typesafe.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "Jev is TypeSafe AI's first System One model, a closed decision model behind an HTTP API.",
      "url": "https://www.anchorterminal.com/tools/typesafe-jev",
      "markdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json",
      "repo": "https://github.com/typesafe-ai/typesafe-sdk-python",
      "license": "Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.typesafe.ai/v1/systemone",
      "packages": [
        {
          "registry": "pypi",
          "name": "typesafe-sdk"
        },
        {
          "registry": "npm",
          "name": "@typesafe-ai/sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API key in the `Authorization` header, created at console.typesafe.ai/keys after signing in. The SDKs read `TYPESAFE_API_KEY`. We found no documentation of key scopes, expiry or rotation.",
      "pricing": "usage",
      "pricingNotes": "Jev 1.13 costs $0.042 per million input tokens ($42 per billion), and output tokens are free (https://docs.typesafe.ai/models). Jev is in early access with a waitlist, and we found no free tier or free credits. Credits bought under the Master Customer Agreement expire 12 months after purchase and aren't refunded on termination (https://typesafe.ai/legal/mca). Higher rate limits come with custom and enterprise plans, and zero data retention is arranged with sales.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the SDKs (checked 2026-10-02).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 15,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-02"
      },
      "docsUrl": "https://docs.typesafe.ai/introduction",
      "llmsTxt": "https://docs.typesafe.ai/llms.txt",
      "openapi": "https://api.typesafe.ai/openapi.json",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "openapi",
        "llms-txt",
        "python",
        "typescript",
        "usage-priced",
        "status-page",
        "beta"
      ],
      "lastRelease": "2026-09-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 62.1,
        "grade": "B",
        "agentReady": false,
        "rank": 309,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 6,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 84,
          "maintenance": 64,
          "payments": 20,
          "reliability": 60,
          "schema": 87,
          "security": 53,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.",
        "bestFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.",
        "strengths": [
          "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse",
          "$0.042 per million input tokens, with output tokens free",
          "A public OpenAPI 3.1 document, llms.txt with Markdown twins, and Python and TypeScript SDKs that retry 408, 429 and 5xx with backoff",
          "A known-limitations page that warns injected instructions can move an answer and lists what Jev can't do, such as counting, arithmetic and date comparison",
          "The privacy policy, DPA and customer agreement agree that customer data isn't used for training"
        ],
        "weaknesses": [
          "Early access behind a waitlist, with no free tier or free credits found",
          "No SLA, and the customer agreement promises only commercially reasonable efforts to give notice of API changes",
          "Published limits of 40 requests a second can change without notice",
          "No security.txt and no stated retention period, and the trust centre and subprocessor list render only with JavaScript",
          "Closed and text only, with 32,000 tokens for state plus the longest question"
        ],
        "agentNotes": [
          "Put every independent question about one state into a single call. They run in parallel and the state is billed once",
          "Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds",
          "Back off exponentially on 429 and 529. The limits move with demand",
          "Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens",
          "Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 62.1
          }
        ],
        "editorialScores": {
          "ergonomics": 84,
          "maintenance": 64,
          "payments": 20,
          "reliability": 60,
          "schema": 87,
          "security": 53,
          "transparency": 41
        },
        "provenanceScore": 70
      },
      "connect": {
        "install": "pip install typesafe-sdk   # or: npm install @typesafe-ai/sdk",
        "http": "curl https://api.typesafe.ai/v1/systemone \\\n  -H \"Authorization: Bearer $TYPESAFE_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"jev-latest\",\"state\":\"Checkout has failed for every customer for an hour.\",\"questions\":{\"urgent\":{\"type\":\"noul\",\"instructions\":\"Is this request urgent?\"},\"team\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"Payments and refunds\",\"technical\":\"Outages and errors\"}}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/typesafe-jev"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Jev 1.13 input",
          "unit": "1m-tokens",
          "usd": 0.042,
          "note": "Output tokens free"
        }
      ],
      "provenance": {
        "legalEntity": "TypeSafe AI, Inc.",
        "domain": "typesafe.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://typesafe.ai/legal/mca",
        "privacy": "https://typesafe.ai/legal/privacy-policy",
        "statusPage": "https://status.typesafe.ai",
        "changelog": "https://docs.typesafe.ai/sdk/python/changelog",
        "securityTxt": "none",
        "checked": "2026-10-01",
        "notes": [
          "The Master Customer Agreement (updated 23 September 2026) governs use of the API. The site's terms of use (19 September 2026) name TypeSafe AI, Inc. and Delaware law.",
          "typesafe.ai/.well-known/security.txt returns 404.",
          "We couldn't read the domain's registration date, since RDAP refused our reader.",
          "The changelog is the Python SDK's. We found no changelog for the API or the model."
        ],
        "score": 70
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/typesafe-jev.json",
      "live": {
        "slug": "typesafe-jev",
        "probe": {
          "target": "https://api.typesafe.ai/v1/systemone",
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          "lastAt": "2026-10-08T18:20:42.555708947Z",
          "lastOk": true,
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          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 191,
          "p95ms24h": 294,
          "samples24h": 272,
          "samples30d": 1667,
          "days": [
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              "date": "2026-10-02",
              "probes": 100,
              "ok": 100
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
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            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 208,
              "ok": 208
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.typesafe.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-08T17:51:16.516148801Z"
        },
        "versions": [
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            "registry": "github",
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          },
          {
            "registry": "pypi",
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            "released": "2026-09-26",
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        "pypiWeekly": 1035871,
        "securityTxt": {
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          "checkedAt": "2026-10-08T15:38:47.390293407Z"
        },
        "llmsTxt": {
          "url": "https://docs.typesafe.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:57.169110601Z"
        },
        "domain": {
          "domain": "typesafe.ai",
          "registered": "2024-05-07",
          "source": "https://rdap.identitydigital.services/rdap/domain/typesafe.ai",
          "checkedAt": "2026-10-04T13:08:19.224445149Z"
        },
        "pages": [
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            "url": "https://docs.typesafe.ai/sdk/python/changelog",
            "kind": "changelog",
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            "checkedAt": "2026-10-08T18:19:40.416326003Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "1652185fb0d5"
          },
          {
            "url": "https://typesafe.ai/legal/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-07T18:10:11.143901338Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "a49423b1ada3"
          },
          {
            "url": "https://typesafe.ai/legal/mca",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-07T18:10:08.96250146Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8c2fd90c4f15"
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        ],
        "updatedAt": "2026-10-08T18:20:42.555708947Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "OpenAI",
        "b": "TypeSafe AI",
        "name": "Vendor"
      },
      {
        "a": "https://api.openai.com/v1/decisions",
        "b": "https://api.typesafe.ai/v1/systemone",
        "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": "$0.10 per 1M tokens",
        "b": "not published",
        "name": "Price for inference decision"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
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        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
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        "a": "yes",
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        "name": "llms.txt"
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      {
        "a": "2026-10-06",
        "b": "2026-09-26",
        "name": "Last release"
      },
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        "a": "couldn't be read",
        "b": "no date given",
        "name": "Terms last updated"
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      {
        "a": "couldn't be read",
        "b": "no date given",
        "name": "Privacy policy last updated"
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      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
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        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict benchmarking"
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      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "32k stars",
        "b": "15 stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Jev's 62.1 (B), and leads in 6 of 7 scored categories. Jev leads on reliability.",
        "question": "Which is better for AI agents, OpenAI Decisions API or Jev?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do OpenAI Decisions API and Jev need an API key?"
      },
      {
        "answer": "Yes. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions and Jev at https://api.typesafe.ai/v1/systemone.",
        "question": "Can an agent call OpenAI Decisions API and Jev without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 83 against 53",
          "Payments \u0026 pricing, 30 against 20",
          "Maintenance \u0026 community, 77 against 64",
          "Transparency \u0026 trust, 83 against 56"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Reliability, 60 against 53"
        ],
        "also": null,
        "goodFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.",
        "slug": "typesafe-jev",
        "watchFor": "Early access behind a waitlist, with no free tier or free credits found"
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        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.json",
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      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.json",
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        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.json",
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      {
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        "title": "Kev vs OpenAI Decisions API",
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        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.json",
        "title": "Kev vs Jev",
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        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.json",
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      {
        "json": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.json",
        "title": "Jev vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela"
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    "scores": [
      {
        "by": 7,
        "edge": "typesafe-jev",
        "key": "reliability",
        "name": "Reliability",
        "openai-decisions-api": 53,
        "typesafe-jev": 60,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 2,
        "edge": "openai-decisions-api",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "openai-decisions-api": 89,
        "typesafe-jev": 87,
        "weight": 13
      },
      {
        "by": 3,
        "edge": "openai-decisions-api",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "openai-decisions-api": 87,
        "typesafe-jev": 84,
        "weight": 13
      },
      {
        "by": 30,
        "edge": "openai-decisions-api",
        "key": "security",
        "name": "Security \u0026 auth",
        "openai-decisions-api": 83,
        "typesafe-jev": 53,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "openai-decisions-api",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "openai-decisions-api": 30,
        "typesafe-jev": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 13,
        "edge": "openai-decisions-api",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "openai-decisions-api": 77,
        "typesafe-jev": 64,
        "weight": 7
      },
      {
        "by": 27,
        "edge": "openai-decisions-api",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "openai-decisions-api": 83,
        "typesafe-jev": 56,
        "weight": 7
      }
    ],
    "summary": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Jev's 62.1 (B), and leads in 6 of 7 scored categories. Jev leads on reliability. Both do inference decision.",
    "verdicts": {
      "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.",
      "typesafe-jev": "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found."
    }
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  "markdown": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Jev's 62.1 (B), and leads in 6 of 7 scored categories. Jev leads on reliability. Both do inference decision.\n\n- OpenAI Decisions API: grade BB, 71.5/100, rank #102 of 629. Markdown https://www.anchorterminal.com/tools/openai-decisions-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n- Jev: grade B, 62.1/100, rank #309 of 629. Markdown https://www.anchorterminal.com/tools/typesafe-jev.md · JSON https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n\n## Which one, for what\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- Security \u0026 auth, 83 against 53\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 77 against 64\n- Transparency \u0026 trust, 83 against 56\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### Jev (B)\n\nGood for: High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.\n\nAhead on:\n- Reliability, 60 against 53\n\nWatch for: Early access behind a waitlist, with no free tier or free credits found\n\n\n## Score by category\n\n| Category | Weight | OpenAI Decisions API | Jev | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 53 | 60 | Jev +7 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 87 | OpenAI Decisions API +2 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 84 | OpenAI Decisions API +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 83 | 53 | OpenAI Decisions API +30 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | OpenAI Decisions API +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 64 | OpenAI Decisions API +13 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 56 | OpenAI Decisions API +27 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **71.5 · BB** | **62.1 · B** | |\n\n## Facts side by side\n\n| Fact | OpenAI Decisions API | Jev |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | OpenAI | TypeSafe AI |\n| Hosted endpoint | `https://api.openai.com/v1/decisions` | `https://api.typesafe.ai/v1/systemone` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for inference decision | $0.10 per 1M tokens | not published |\n| x402 | no | no |\n| Licence | Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0 | Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-06 | 2026-09-26 |\n| Terms last updated | couldn't be read | no date given |\n| Privacy policy last updated | couldn't be read | no date given |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | yes |\n| Popularity | 32k stars | 15 stars |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\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**Jev.** Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.\n\n## Before you call either\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### Jev\n\n1. Put every independent question about one state into a single call. They run in parallel and the state is billed once\n2. Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds\n3. Back off exponentially on 429 and 529. The limits move with demand\n4. Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens\n5. Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger\n\n## Questions\n\n### Which is better for AI agents, OpenAI Decisions API or Jev?\n\nOpenAI Decisions API scores 71.5 (BB) on agent readiness against Jev's 62.1 (B), and leads in 6 of 7 scored categories. Jev leads on reliability.\n\n### Do OpenAI Decisions API and Jev need an API key?\n\nBoth need an API key.\n\n### Can an agent call OpenAI Decisions API and Jev without installing anything?\n\nYes. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions and Jev at https://api.typesafe.ai/v1/systemone.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-decisions-api\", \"b\": \"typesafe-jev\"}`. From a terminal: `anchor compare openai-decisions-api typesafe-jev`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json and https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n\n## Other comparisons with OpenAI Decisions API or Jev\n\n- [Clef vs OpenAI Decisions API](https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.md)\n- [Clef vs Jev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.md)\n- [Laya vs OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.md)\n- [Laya vs Jev](https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Kev vs Jev](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.md)\n- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)\n- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.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 Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Jev vs Vela 2.0](https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.md)\n",
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    "description": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Jev's 62.1 (B), and leads in 6 of 7 scored categories. Jev leads on reliability. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.",
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