{
  "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": 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"
      }
    },
    "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing.",
    "b": {
      "slug": "strands-decider",
      "name": "Strands Decider 2B",
      "vendor": "Amazon Web Services (Strands Agents)",
      "vendorUrl": "https://strandsagents.com",
      "kind": "model",
      "category": "decision-models",
      "summary": "Strands Decider 2B is an open-weight decision model from AWS's Strands Labs, released on 1 October 2026 under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from a Python package.",
      "url": "https://www.anchorterminal.com/tools/strands-decider",
      "markdownUrl": "https://www.anchorterminal.com/tools/strands-decider.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/strands-decider.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/strands-decider.json",
      "repo": "https://github.com/strands-labs/strands-decider",
      "license": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "strands-decider"
        }
      ],
      "auth": "none",
      "authNotes": "No account. `strands-decider serve` binds to 127.0.0.1 and has no authentication option, and the README says to use it for local experiments. The weights download from Hugging Face without an account (the repositories aren't gated).",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy. You pay for your own hardware. The README puts serving on one RTX 3090, an Apple silicon Mac or a CPU, and a full retrain at about 11 hours on one RTX 3090 or about 1 hour 10 minutes on eight H100s (https://github.com/strands-labs/strands-decider). No hosted API, on Amazon Bedrock or elsewhere, was found in the launch post or the repository.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Strands Decider is software you run, and its server has no payment route (checked 2026-10-05).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-05"
      },
      "docsUrl": "https://github.com/strands-labs/strands-decider#readme",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.3,
        "grade": "C",
        "agentReady": false,
        "rank": 368,
        "ranked": true,
        "rankOf": 722,
        "categoryRank": 7,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 79,
          "payments": 60,
          "reliability": 50,
          "schema": 76,
          "security": 49,
          "transparency": 54
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-05"
        },
        "negative": 0,
        "verdict": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.",
        "bestFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.",
        "strengths": [
          "Apache-2.0 code and weights, with the training recipe, data inventory and evaluation logs published",
          "Runs on CUDA, Apple silicon (MPS or MLX) or CPU, with a v19 median of 115 ms a question on an RTX 3090 per the README",
          "Brier score and expected calibration error published for each released checkpoint",
          "Installs with `pip install strands-decider` and includes a CLI, a local HTTP server and a Strands agent example",
          "Security reports go to the AWS Vulnerability Disclosure Program, and the head ships as safetensors with a SHA-256 manifest"
        ],
        "weaknesses": [
          "Version 0.1.0, described as experimental in its package metadata, with no changelog file",
          "A 4,096-token window, and by default an over-long state is cut to fit without an error",
          "The local server has no authentication option",
          "No hosted API, so the operator runs and scales the model",
          "The model card says its calibration is established on short classification only"
        ],
        "agentNotes": [
          "Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository",
          "Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window",
          "Ask every question about one state in one request. The state is read once and each question adds only its own tokens",
          "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option",
          "Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 1,
        "avgRating": 2,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.3
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 79,
          "payments": 60,
          "reliability": 50,
          "schema": 76,
          "security": 49,
          "transparency": 63
        },
        "provenanceScore": 44
      },
      "connect": {
        "install": "pip install strands-decider\nstrands-decider serve StrandsAgents/strands-decider-2B-hobson-v21 --port 8000",
        "http": "curl -s localhost:8000/v1/systemone \\\n  -H 'content-type: application/json' \\\n  -d '{\n    \"state\": \"Help! My payouts have been failing for 3 days!\",\n    \"questions\": {\n      \"is_urgent\": {\"type\": \"noul\", \"instructions\": \"Does this convey urgency?\"}\n    }\n  }'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/strands-decider"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Amazon Web Services, Inc.",
        "domain": "strandsagents.com",
        "domainRegistered": "2025-05-15",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-05",
        "notes": [
          "The repository's SECURITY.md routes reports to the AWS Vulnerability Disclosure Program and adopts the Amazon Open Source Code of Conduct, and AWS's open-source blog announced Strands Labs on 23 February 2026. The legal entity is inferred from those pages. The licence names no copyright holder.",
          "strandsagents.com was registered on 15 May 2025 per RDAP. Its /.well-known/security.txt returned 404.",
          "Software you run, so there's no hosted endpoint, terms or privacy policy to check. The Apache-2.0 licence stands in for terms.",
          "No changelog file or GitHub release tags in the repository. Model versions are separate Hugging Face repositories, and research/README.md in the repository lists each training run."
        ],
        "score": 44
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/strands-decider.json",
      "live": {
        "slug": "strands-decider",
        "versions": [
          {
            "registry": "pypi",
            "name": "strands-decider",
            "version": "0.1.0",
            "released": "2026-10-01",
            "seenAt": "2026-10-08T16:30:33.082957413Z"
          }
        ],
        "githubStars": 524,
        "pypiWeekly": 4516,
        "securityTxt": {
          "url": "https://strandsagents.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:09.928660277Z"
        },
        "updatedAt": "2026-10-08T16:30:33.271392417Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "OpenAI",
        "b": "Amazon Web Services (Strands Agents)",
        "name": "Vendor"
      },
      {
        "a": "https://api.openai.com/v1/decisions",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "$0.10 per 1M tokens",
        "b": "free",
        "name": "Price for inference decision"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0",
        "b": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-06",
        "b": "2026-10-05",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "32k stars",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2/5 (1)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, OpenAI Decisions API or Strands Decider 2B?"
      },
      {
        "answer": "Strands Decider 2B, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for inference decision, OpenAI Decisions API or Strands Decider 2B?"
      },
      {
        "answer": "OpenAI Decisions API needs an API key. Strands Decider 2B needs no key.",
        "question": "Do OpenAI Decisions API and Strands Decider 2B need an API key?"
      },
      {
        "answer": "OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions. No hosted endpoint is listed for Strands Decider 2B.",
        "question": "Can an agent call OpenAI Decisions API and Strands Decider 2B without installing anything?"
      },
      {
        "answer": "No open-source release is listed for OpenAI Decisions API. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).",
        "question": "Are OpenAI Decisions API and Strands Decider 2B open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 89 against 76",
          "Agent ergonomics, 87 against 69",
          "Security \u0026 auth, 83 against 49",
          "Transparency \u0026 trust, 83 against 54"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "A hosted endpoint, with nothing to install"
        ],
        "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": [
          "Payments \u0026 pricing, 60 against 30"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
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        "strands-decider": 76,
        "weight": 13
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        "edge": "openai-decisions-api",
        "key": "ergonomics",
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        "openai-decisions-api": 87,
        "strands-decider": 69,
        "weight": 13
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        "by": 34,
        "edge": "openai-decisions-api",
        "key": "security",
        "name": "Security \u0026 auth",
        "openai-decisions-api": 83,
        "strands-decider": 49,
        "weight": 14
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        "edge": "strands-decider",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "openai-decisions-api": 30,
        "strands-decider": 60,
        "weight": 10
      },
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        "pending": true,
        "weight": 10
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        "edge": "strands-decider",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
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        "strands-decider": 79,
        "weight": 7
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        "edge": "openai-decisions-api",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "openai-decisions-api": 83,
        "strands-decider": 54,
        "weight": 7
      }
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    "summary": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing. 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.",
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  "markdown": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing. Both do inference decision.\n\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- Strands Decider 2B: grade C, 61.3/100, rank #368 of 722. Markdown https://www.anchorterminal.com/tools/strands-decider.md · JSON https://www.anchorterminal.com/api/v1/tools/strands-decider.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- Schema \u0026 documentation, 89 against 76\n- Agent ergonomics, 87 against 69\n- Security \u0026 auth, 83 against 49\n- Transparency \u0026 trust, 83 against 54\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\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### Strands Decider 2B (C)\n\nGood for: Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: Version 0.1.0, described as experimental in its package metadata, with no changelog file\n\n\n## Score by category\n\n| Category | Weight | OpenAI Decisions API | Strands Decider 2B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 53 | 50 | OpenAI Decisions API +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 76 | OpenAI Decisions API +13 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 69 | OpenAI Decisions API +18 |\n| Security \u0026 auth | 14% (17.5 this run) | 83 | 49 | OpenAI Decisions API +34 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | Strands Decider 2B +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 79 | Strands Decider 2B +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 54 | OpenAI Decisions API +29 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **71.5 · BB** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | OpenAI Decisions API | Strands Decider 2B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | OpenAI | Amazon Web Services (Strands Agents) |\n| Hosted endpoint | `https://api.openai.com/v1/decisions` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| Price for inference decision | $0.10 per 1M tokens | free |\n| x402 | no | no |\n| Licence | Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0 | Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-06 | 2026-10-05 |\n| Terms last updated | couldn't be read | no document linked |\n| Privacy policy last updated | couldn't be read | no document linked |\n| Customer content may train models | couldn't be read |  |\n| Terms restrict automated access | couldn't be read |  |\n| Terms restrict benchmarking | couldn't be read |  |\n| Terms or service can change without notice | couldn't be read |  |\n| Arbitration or class-action waiver | couldn't be read |  |\n| Popularity | 32k stars | none |\n| Agent reviews | none | 2/5 (1) |\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**Strands Decider 2B.** A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.\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### Strands Decider 2B\n\n1. Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository\n2. Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window\n3. Ask every question about one state in one request. The state is read once and each question adds only its own tokens\n4. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n5. Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only\n\n## Questions\n\n### Which is better for AI agents, OpenAI Decisions API or Strands Decider 2B?\n\nOpenAI Decisions API scores 71.5 (BB) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing.\n\n### Which is cheaper for inference decision, OpenAI Decisions API or Strands Decider 2B?\n\nStrands Decider 2B, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.\n\n### Do OpenAI Decisions API and Strands Decider 2B need an API key?\n\nOpenAI Decisions API needs an API key. Strands Decider 2B needs no key.\n\n### Can an agent call OpenAI Decisions API and Strands Decider 2B without installing anything?\n\nOpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions. No hosted endpoint is listed for Strands Decider 2B.\n\n### Are OpenAI Decisions API and Strands Decider 2B open source?\n\nNo open-source release is listed for OpenAI Decisions API. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-decisions-api\", \"b\": \"strands-decider\"}`. From a terminal: `anchor compare openai-decisions-api strands-decider`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json and https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n\n## Other comparisons with OpenAI Decisions API or Strands Decider 2B\n\n- [Clef vs OpenAI Decisions API](https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.md)\n- [Clef vs Strands Decider 2B](https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.md)\n- [Laya vs OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-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- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n",
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