{
  "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": 183,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 3,
        "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": "Decider and Laya score within a point of each other on agent readiness, 69.5 (B) and 69.2 (B). Laya leads on security \u0026 auth and transparency \u0026 trust.",
    "b": {
      "slug": "decider",
      "name": "Decider",
      "vendor": "Mark Marosi (Mapika)",
      "vendorUrl": "https://github.com/Mapika",
      "kind": "model",
      "category": "decision-models",
      "summary": "Decider is a family of open-weight decision models by Mark Marosi (Mapika), from 0.8B to 35B parameters under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from the `decider-ai` Python package.",
      "url": "https://www.anchorterminal.com/tools/decider",
      "markdownUrl": "https://www.anchorterminal.com/tools/decider.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/decider.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/decider.json",
      "repo": "https://github.com/Mapika/decider",
      "license": "Apache-2.0 (code and weights)",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "decider-ai"
        }
      ],
      "auth": "none",
      "authNotes": "No account. `decider.serve` has no authentication option. `scripts/serve.sh` binds to 127.0.0.1 since 1.7.1, and `DECIDER_HOST=0.0.0.0` opens it to the network. 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 the 2B at about 4 GB of GPU memory, the 4B at 8.4 GB and the 35B at 65 GB in bf16, with GGUF files of 1.3 GB and 2.7 GB for CPU (https://github.com/Mapika/decider). No hosted API was found.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Decider is software you run, and its server has no payment route (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 1100,
        "npmWeekly": null,
        "pypiWeekly": 2680,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://github.com/Mapika/decider#readme",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.5,
        "grade": "B",
        "agentReady": false,
        "rank": 172,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 90,
          "schema": 78,
          "security": 38,
          "transparency": 46
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.",
        "bestFor": "Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.",
        "strengths": [
          "Apache-2.0 code and weights, with the training code, data builders and per-version measurements in the repository",
          "Sizes from 0.8B to 35B parameters, with GGUF files for CPU and builds for CUDA, Apple silicon and vLLM",
          "`POST /v1/systemone` follows TypeSafe's wire format, and the README says TypeSafe's SDKs work with `TYPESAFE_BASE_URL` set to the local server",
          "Dated changelog entries for all 21 `decider-ai` releases from 1.0.0 (22 September 2026) to 1.9.0 (7 October 2026)",
          "Size limits return 413, overload 503 and invalid questions 422, each with a message documented in `docs/SERVING.md`"
        ],
        "weaknesses": [
          "The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1",
          "States over 32,768 tokens are truncated (`DECIDER_MAX_STATE_TOKENS`) without an error",
          "No SECURITY.md, disclosure policy or security contact was found in the repository",
          "One maintainer wrote 95 of 98 commits, and the project is three weeks old",
          "The README says calibration on hard items is weak, the models are English only, and one pass can't do multi-step arithmetic",
          "No hosted API, and the HTTP server doesn't serve the GGUF files"
        ],
        "agentNotes": [
          "Pin weights by Hub tag (`v10`, `v2`) when results must repeat. The `main` branch of each model repository changes with new versions",
          "Read `x_p_max` for the top probability. Since 1.3.0 `confidence` on choice and score answers follows TypeSafe's rescaled definition, not the top probability",
          "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option",
          "Count state tokens before sending. Over 32,768 the state is cut silently, and `/decide` caps context at 1,536 tokens",
          "Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 69.5
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 90,
          "schema": 78,
          "security": 38,
          "transparency": 64
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "pip install decider-ai"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/decider"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "github.com/Mapika",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/Mapika/decider/blob/main/docs/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "An individual's open-source project under Apache-2.0. The pyproject and the README citation name Mark Marosi as author, and no company is named.",
          "No vendor domain. The code is at github.com/Mapika/decider and the weights at huggingface.co/Mapika, so the domain line names the GitHub account and scores no domain age.",
          "Software you run, so there's no hosted endpoint, service terms or privacy policy. The author publishes none, and the Apache-2.0 licence stands in for terms.",
          "The changelog is `docs/CHANGELOG.md`, with a dated entry for each package release and model update. Release tags v1.0.2 to v1.9.0 match the PyPI versions."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/decider.json"
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Convai Innovations",
        "b": "Mark Marosi (Mapika)",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, stdio",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Apache-2.0 (code and weights)",
        "name": "Licence"
      },
      {
        "a": "8",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-01",
        "b": "2026-10-07",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "29k stars",
        "b": "1.1k stars, 2.7k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "2.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Decider and Laya score within a point of each other on agent readiness, 69.5 (B) and 69.2 (B). Laya leads on security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Laya or Decider?"
      },
      {
        "answer": "Neither needs a key.",
        "question": "Do Laya and Decider need an API key?"
      },
      {
        "answer": "Laya runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Decider.",
        "question": "Can an agent call Laya and Decider without installing anything?"
      },
      {
        "answer": "Yes. Laya is open source (Apache-2.0). Decider is open source (Apache-2.0 (code and weights)).",
        "question": "Are Laya and Decider open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 57 against 38",
          "Transparency \u0026 trust, 62 against 46"
        ],
        "also": [
          "Runs on your own machine"
        ],
        "goodFor": "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.",
        "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": [
          "Reliability, 90 against 65"
        ],
        "also": null,
        "goodFor": "Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.",
        "slug": "decider",
        "watchFor": "The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Inference decision"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.json",
        "title": "Celeris-1 Decision vs Laya",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya"
      },
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.json",
        "title": "Celeris-1 Decision vs Decider",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya.json",
        "title": "Clef vs Laya",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.json",
        "title": "Clef vs Decider",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.json",
        "title": "Laya vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass"
      },
      {
        "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"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.json",
        "title": "Laya vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-vela.json",
        "title": "Laya vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-gliclass.json",
        "title": "Decider vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/decider-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.json",
        "title": "Decider vs Kev",
        "url": "https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1.json",
        "title": "Decider vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1"
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      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.json",
        "title": "Decider vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-strands-decider.json",
        "title": "Decider vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/decider-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.json",
        "title": "Decider vs Jev",
        "url": "https://www.anchorterminal.com/compare/decider-vs-typesafe-jev"
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      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-vela.json",
        "title": "Decider vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/decider-vs-vela"
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    "scores": [
      {
        "by": 25,
        "convai-laya": 65,
        "decider": 90,
        "edge": "decider",
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
        "by": 2,
        "convai-laya": 80,
        "decider": 78,
        "edge": "convai-laya",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 0,
        "convai-laya": 80,
        "decider": 80,
        "edge": "",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 19,
        "convai-laya": 57,
        "decider": 38,
        "edge": "convai-laya",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "convai-laya": 60,
        "decider": 60,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 4,
        "convai-laya": 83,
        "decider": 87,
        "edge": "decider",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 16,
        "convai-laya": 62,
        "decider": 46,
        "edge": "convai-laya",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Decider and Laya score within a point of each other on agent readiness, 69.5 (B) and 69.2 (B). Laya leads on security \u0026 auth and transparency \u0026 trust. 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.",
      "decider": "An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published."
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  "markdown": "Decider and Laya score within a point of each other on agent readiness, 69.5 (B) and 69.2 (B). Laya leads on security \u0026 auth and transparency \u0026 trust. Both do inference decision.\n\n- Laya: grade B, 69.2/100, rank #183 of 842. Markdown https://www.anchorterminal.com/tools/convai-laya.md · JSON https://www.anchorterminal.com/api/v1/tools/convai-laya.json\n- Decider: grade B, 69.5/100, rank #172 of 842. Markdown https://www.anchorterminal.com/tools/decider.md · JSON https://www.anchorterminal.com/api/v1/tools/decider.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- Security \u0026 auth, 57 against 38\n- Transparency \u0026 trust, 62 against 46\n\nAlso in its favour:\n- Runs on your own machine\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### Decider (B)\n\nGood for: Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.\n\nAhead on:\n- Reliability, 90 against 65\n\nWatch for: The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1\n\n\n## Score by category\n\n| Category | Weight | Laya | Decider | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 90 | Decider +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 78 | Laya +2 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 80 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 38 | Laya +19 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 87 | Decider +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 46 | Laya +16 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.2 · B** | **69.5 · B** | |\n\n## Facts side by side\n\n| Fact | Laya | Decider |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Convai Innovations | Mark Marosi (Mapika) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP, stdio | HTTP |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 (code and weights) |\n| Tools exposed | 8 | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-01 | 2026-10-07 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 29k stars | 1.1k stars, 2.7k PyPI/wk |\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**Decider.** An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.\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### Decider\n\n1. Pin weights by Hub tag (`v10`, `v2`) when results must repeat. The `main` branch of each model repository changes with new versions\n2. Read `x_p_max` for the top probability. Since 1.3.0 `confidence` on choice and score answers follows TypeSafe's rescaled definition, not the top probability\n3. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n4. Count state tokens before sending. Over 32,768 the state is cut silently, and `/decide` caps context at 1,536 tokens\n5. Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail\n\n## Questions\n\n### Which is better for AI agents, Laya or Decider?\n\nDecider and Laya score within a point of each other on agent readiness, 69.5 (B) and 69.2 (B). Laya leads on security \u0026 auth and transparency \u0026 trust.\n\n### Do Laya and Decider need an API key?\n\nNeither needs a key.\n\n### Can an agent call Laya and Decider without installing anything?\n\nLaya runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Decider.\n\n### Are Laya and Decider open source?\n\nYes. Laya is open source (Apache-2.0). Decider is open source (Apache-2.0 (code and weights)).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/convai-laya-vs-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/convai-laya-vs-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"convai-laya\", \"b\": \"decider\"}`. From a terminal: `anchor compare convai-laya decider`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/convai-laya.json and https://www.anchorterminal.com/api/v1/tools/decider.json\n\n## Other comparisons with Laya or Decider\n\n- [Celeris-1 Decision vs Laya](https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.md)\n- [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md)\n- [Clef vs Laya](https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya.md)\n- [Clef vs Decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.md)\n- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.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 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- [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- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)\n- [Decider vs Kev](https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.md)\n- [Decider vs Liquid d1](https://www.anchorterminal.com/compare/decider-vs-liquid-d1.md)\n- [Decider vs OpenAI Decisions API](https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.md)\n- [Decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md)\n- [Decider vs Jev](https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.md)\n- [Decider vs Vela 2.0](https://www.anchorterminal.com/compare/decider-vs-vela.md)\n",
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    "description": "Decider and Laya score within a point of each other on agent readiness, 69.5 (B) and 69.2 (B). Laya leads on security \u0026 auth and transparency \u0026 trust. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.",
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    "published": "2026-10-01",
    "section": "tools",
    "title": "Laya vs Decider for AI agents, B 69.2 vs B 69.5 | Anchor Terminal",
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