{
  "data": {
    "a": {
      "slug": "convai-laya",
      "name": "Laya",
      "vendor": "Convai Innovations",
      "vendorUrl": "https://convaiinnovations.com",
      "kind": "model",
      "category": "decision-models",
      "summary": "Open-source decision engine from Convai Innovations, released under Apache-2.0.",
      "url": "https://www.anchorterminal.com/tools/convai-laya",
      "markdownUrl": "https://www.anchorterminal.com/tools/convai-laya.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/convai-laya.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/convai-laya.json",
      "repo": "https://github.com/NandhaKishorM/laya",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "stdio"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "laya"
        }
      ],
      "auth": "none",
      "authNotes": "No account. `laya-serve` binds to 0.0.0.0:8000 and is open unless `LAYA_API_KEY` is set, after which it requires `Authorization: Bearer \u003ckey\u003e` on every route but liveness. The MCP server runs over stdio. Weights download from Hugging Face without an account.",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy. You pay for the hardware, and the README's speed figures were measured on a Tesla T4. The maintainer takes donations through Buy Me A Coffee (https://github.com/NandhaKishorM/laya).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Laya is software you run, and its server has no payment route (checked 2026-10-02).",
        "endpoints": []
      },
      "toolCount": 8,
      "popularity": {
        "githubStars": 29200,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-02"
      },
      "docsUrl": "https://nandhakishorm.github.io/laya/",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python",
        "mcp",
        "batch",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.2,
        "grade": "B",
        "agentReady": false,
        "rank": 163,
        "ranked": true,
        "rankOf": 722,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 83,
          "payments": 60,
          "reliability": 65,
          "schema": 80,
          "security": 57,
          "transparency": 62
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI. Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning.",
        "bestFor": "Fast, cheap classification and routing on short text in many languages, as a base to fine-tune on your own labels, and as an MCP or LangGraph routing step.",
        "strengths": [
          "Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI",
          "421M and 322M-parameter encoders that the README times at 32.8 to 39.5 ms for one question on a Tesla T4",
          "A Jev-compatible HTTP server with a batch route for up to 64 states, an 8-tool MCP server, and LangChain, LlamaIndex and CrewAI wrappers",
          "A multilingual checkpoint for 100+ languages and a router that picks the checkpoint per request",
          "An honest-limits section in the README, SECURITY.md with private reporting, and CI that runs gitleaks, pip-audit and CodeQL"
        ],
        "weaknesses": [
          "Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning",
          "Choice options share a 192 or 256-token budget, and the README reports 0.425 on Banking77's 77 labels",
          "512 tokens of context on the English checkpoint and 1,024 by default on the others",
          "`laya-serve` listens on 0.0.0.0 with no key unless `LAYA_API_KEY` is set",
          "26 releases in 13 days, still 0.x and marked beta, with 61 open issues and 81 open pull requests"
        ],
        "agentNotes": [
          "Set `LAYA_API_KEY` before starting `laya-serve`. It listens on every interface by default",
          "Gate on `answer_confidence`, not `confidence`, which measures entropy and doesn't match Jev's field",
          "Shortlist choice questions with more than about 20 options using `predict_shortlist` or the `laya_shortlist` tool",
          "Use semantic or opaque labels such as `A` and `B`, not `yes` and `no`, in choice questions. The checkpoints can follow the label text",
          "Pass `model=\"multilingual\"` and `max_len=8192` for long documents. The English checkpoint stops at 512 tokens"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 69.2
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 83,
          "payments": 60,
          "reliability": 65,
          "schema": 80,
          "security": 57,
          "transparency": 70
        },
        "provenanceScore": 53
      },
      "connect": {
        "install": "pip install \"laya[serve]\"\nLAYA_API_KEY=change-me LAYA_DEVICE=cuda LAYA_PRELOAD=1 laya-serve   # 0.0.0.0:8000",
        "http": "curl -s localhost:8000/v1/systemone -H 'content-type: application/json' -H \"Authorization: Bearer $LAYA_API_KEY\" \\\n  -d '{\"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\"}}}}'",
        "claudeCode": "pip install \"laya[mcp]\" \u0026\u0026 claude mcp add laya -- laya-mcp-server",
        "config": {
          "mcpServers": {
            "laya": {
              "command": "laya-mcp-server",
              "env": {
                "LAYA_DEVICE": "cpu"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/convai-laya"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Convai Innovations Pvt. Ltd.",
        "domain": "convaiinnovations.com",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/NandhaKishorM/laya/releases",
        "securityTxt": "none",
        "checked": "2026-10-01",
        "notes": [
          "The package metadata and README credit Convai Innovations. The company's site names Convai Innovations Pvt. Ltd. at the Kerala Startup Mission office in Kasaragod, Kerala, India, but doesn't mention Laya.",
          "convaiinnovations.com/.well-known/security.txt returns 404. SECURITY.md in the repository takes private reports through GitHub Security Advisories.",
          "We didn't read the domain's registration date.",
          "Software you run, so there's no hosted endpoint. The Apache-2.0 licence stands in for terms."
        ],
        "score": 53
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/convai-laya.json",
      "live": {
        "slug": "convai-laya",
        "versions": [
          {
            "registry": "github",
            "name": "NandhaKishorM/laya",
            "version": "v0.4.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:06:59.058927231Z"
          },
          {
            "registry": "pypi",
            "name": "laya",
            "version": "0.4.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:06:58.941467636Z"
          }
        ],
        "githubStars": 31667,
        "pypiWeekly": 77372,
        "securityTxt": {
          "url": "https://convaiinnovations.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:09.474636066Z"
        },
        "domain": {
          "domain": "convaiinnovations.com",
          "registered": "2021-09-01",
          "source": "https://rdap.verisign.com/com/v1/domain/convaiinnovations.com",
          "checkedAt": "2026-10-04T13:08:27.291006176Z"
        },
        "updatedAt": "2026-10-08T16:06:59.058927231Z"
      }
    },
    "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Laya's 69.2 (B), and leads in 4 of 7 scored categories. Laya leads on reliability, payments \u0026 pricing and maintenance \u0026 community.",
    "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": "2026-10-08T23:26:39.51842019Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 123,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 138,
          "p95ms24h": 183,
          "samples24h": 87,
          "samples30d": 87,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 87,
              "ok": 87
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.openai.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-08T23:24:07.063722748Z"
        },
        "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": "2026-10-08T23:26:39.51842019Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Convai Innovations",
        "b": "OpenAI",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.openai.com/v1/decisions",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, stdio",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "free",
        "b": "$0.10 per 1M tokens",
        "name": "Price for inference decision"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "8",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-01",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "29k stars",
        "b": "32k stars",
        "name": "Popularity"
      },
      {
        "a": "2.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Laya's 69.2 (B), and leads in 4 of 7 scored categories. Laya leads on reliability, payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, Laya or OpenAI Decisions API?"
      },
      {
        "answer": "Laya, 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, Laya or OpenAI Decisions API?"
      },
      {
        "answer": "Laya needs no key. OpenAI Decisions API needs an API key.",
        "question": "Do Laya and OpenAI Decisions API need an API key?"
      },
      {
        "answer": "Laya runs on your own machine, with no hosted endpoint listed. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions.",
        "question": "Can an agent call Laya and OpenAI Decisions API without installing anything?"
      },
      {
        "answer": "Laya is open source (Apache-2.0). No open-source release is listed for OpenAI Decisions API.",
        "question": "Are Laya and OpenAI Decisions API open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 65 against 53",
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        ],
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          "No key needed to call it",
          "Runs on your own machine",
          "Open source"
        ],
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        "slug": "convai-laya",
        "watchFor": "Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 89 against 80",
          "Agent ergonomics, 87 against 80",
          "Security \u0026 auth, 83 against 57",
          "Transparency \u0026 trust, 83 against 62"
        ],
        "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"
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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"
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      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.json",
        "title": "Laya vs Kev",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev"
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      {
        "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-strands-decider.json",
        "title": "Laya vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.json",
        "title": "Laya vs Jev",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev"
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        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-vela.json",
        "title": "Laya vs Vela 2.0",
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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-typesafe-jev.json",
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        "title": "OpenAI Decisions API vs Vela 2.0",
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      {
        "by": 12,
        "convai-laya": 65,
        "edge": "convai-laya",
        "key": "reliability",
        "name": "Reliability",
        "openai-decisions-api": 53,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "convai-laya": 80,
        "edge": "openai-decisions-api",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "openai-decisions-api": 89,
        "weight": 13
      },
      {
        "by": 7,
        "convai-laya": 80,
        "edge": "openai-decisions-api",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "openai-decisions-api": 87,
        "weight": 13
      },
      {
        "by": 26,
        "convai-laya": 57,
        "edge": "openai-decisions-api",
        "key": "security",
        "name": "Security \u0026 auth",
        "openai-decisions-api": 83,
        "weight": 14
      },
      {
        "by": 30,
        "convai-laya": 60,
        "edge": "convai-laya",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "openai-decisions-api": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 6,
        "convai-laya": 83,
        "edge": "convai-laya",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "openai-decisions-api": 77,
        "weight": 7
      },
      {
        "by": 21,
        "convai-laya": 62,
        "edge": "openai-decisions-api",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "openai-decisions-api": 83,
        "weight": 7
      }
    ],
    "summary": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Laya's 69.2 (B), and leads in 4 of 7 scored categories. Laya leads on reliability, payments \u0026 pricing and maintenance \u0026 community. Both do inference decision.",
    "verdicts": {
      "convai-laya": "Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI. Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning.",
      "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 Laya's 69.2 (B), and leads in 4 of 7 scored categories. Laya leads on reliability, payments \u0026 pricing and maintenance \u0026 community. Both do inference decision.\n\n- Laya: grade B, 69.2/100, rank #163 of 722. Markdown https://www.anchorterminal.com/tools/convai-laya.md · JSON https://www.anchorterminal.com/api/v1/tools/convai-laya.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### Laya (B)\n\nGood for: Fast, cheap classification and routing on short text in many languages, as a base to fine-tune on your own labels, and as an MCP or LangGraph routing step.\n\nAhead on:\n- Reliability, 65 against 53\n- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 83 against 77\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n- Open source\n\nWatch for: Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning\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 80\n- Agent ergonomics, 87 against 80\n- Security \u0026 auth, 83 against 57\n- Transparency \u0026 trust, 83 against 62\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\n## Score by category\n\n| Category | Weight | Laya | OpenAI Decisions API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 53 | Laya +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 89 | OpenAI Decisions API +9 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 87 | OpenAI Decisions API +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 83 | OpenAI Decisions API +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | Laya +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 77 | Laya +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 83 | OpenAI Decisions API +21 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.2 · B** | **71.5 · BB** | |\n\n## Facts side by side\n\n| Fact | Laya | OpenAI Decisions API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Convai Innovations | OpenAI |\n| Hosted endpoint | no (local only) | `https://api.openai.com/v1/decisions` |\n| Transports | HTTP, stdio | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| Price for inference decision | free | $0.10 per 1M tokens |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0 |\n| Tools exposed | 8 | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-01 | 2026-10-06 |\n| Terms last updated | no document linked | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\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 | 29k stars | 32k stars |\n| Agent reviews | 2.5/5 (2) | none |\n\n## Verdicts\n\n**Laya.** Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI. Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning.\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### Laya\n\n1. Set `LAYA_API_KEY` before starting `laya-serve`. It listens on every interface by default\n2. Gate on `answer_confidence`, not `confidence`, which measures entropy and doesn't match Jev's field\n3. Shortlist choice questions with more than about 20 options using `predict_shortlist` or the `laya_shortlist` tool\n4. Use semantic or opaque labels such as `A` and `B`, not `yes` and `no`, in choice questions. The checkpoints can follow the label text\n5. Pass `model=\"multilingual\"` and `max_len=8192` for long documents. The English checkpoint stops at 512 tokens\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, Laya or OpenAI Decisions API?\n\nOpenAI Decisions API scores 71.5 (BB) on agent readiness against Laya's 69.2 (B), and leads in 4 of 7 scored categories. Laya leads on reliability, payments \u0026 pricing and maintenance \u0026 community.\n\n### Which is cheaper for inference decision, Laya or OpenAI Decisions API?\n\nLaya, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.\n\n### Do Laya and OpenAI Decisions API need an API key?\n\nLaya needs no key. OpenAI Decisions API needs an API key.\n\n### Can an agent call Laya and OpenAI Decisions API without installing anything?\n\nLaya runs on your own machine, with no hosted endpoint listed. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions.\n\n### Are Laya and OpenAI Decisions API open source?\n\nLaya is open source (Apache-2.0). No open-source release is listed for OpenAI Decisions API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"convai-laya\", \"b\": \"openai-decisions-api\"}`. From a terminal: `anchor compare convai-laya openai-decisions-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/convai-laya.json and https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n\n## Other comparisons with Laya or OpenAI Decisions API\n\n- [Clef vs Laya](https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya.md)\n- [Clef vs OpenAI Decisions API](https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.md)\n- [Laya vs Kev](https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.md)\n- [Laya vs Liquid d1](https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Laya vs Jev](https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.md)\n- [Laya vs Vela 2.0](https://www.anchorterminal.com/compare/convai-laya-vs-vela.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.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 Laya's 69.2 (B), and leads in 4 of 7 scored categories. Laya leads on reliability, payments \u0026 pricing and maintenance \u0026 community. Both do inference decision. Category scores, facts, verdicts and agent notes side…",
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