{
  "data": {
    "a": {
      "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"
    },
    "answer": "Decider scores 69.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust.",
    "b": {
      "slug": "typesafe-jev",
      "name": "Jev",
      "vendor": "TypeSafe AI",
      "vendorUrl": "https://typesafe.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "Jev is TypeSafe AI's first System One model, a closed decision model behind an HTTP API.",
      "url": "https://www.anchorterminal.com/tools/typesafe-jev",
      "markdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json",
      "repo": "https://github.com/typesafe-ai/typesafe-sdk-python",
      "license": "Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.typesafe.ai/v1/systemone",
      "packages": [
        {
          "registry": "pypi",
          "name": "typesafe-sdk"
        },
        {
          "registry": "npm",
          "name": "@typesafe-ai/sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API key in the `Authorization` header, created at console.typesafe.ai/keys after signing in. The SDKs read `TYPESAFE_API_KEY`. We found no documentation of key scopes, expiry or rotation.",
      "pricing": "usage",
      "pricingNotes": "Jev 1.13 costs $0.042 per million input tokens ($42 per billion), and output tokens are free (https://docs.typesafe.ai/models). Jev is in early access with a waitlist, and we found no free tier or free credits. Credits bought under the Master Customer Agreement expire 12 months after purchase and aren't refunded on termination (https://typesafe.ai/legal/mca). Higher rate limits come with custom and enterprise plans, and zero data retention is arranged with sales.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the SDKs (checked 2026-10-02).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 15,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-02"
      },
      "docsUrl": "https://docs.typesafe.ai/introduction",
      "llmsTxt": "https://docs.typesafe.ai/llms.txt",
      "openapi": "https://api.typesafe.ai/openapi.json",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "openapi",
        "llms-txt",
        "python",
        "typescript",
        "usage-priced",
        "status-page",
        "beta"
      ],
      "lastRelease": "2026-09-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 62.1,
        "grade": "B",
        "agentReady": false,
        "rank": 400,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 7,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 84,
          "maintenance": 64,
          "payments": 20,
          "reliability": 60,
          "schema": 87,
          "security": 53,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.",
        "bestFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.",
        "strengths": [
          "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse",
          "$0.042 per million input tokens, with output tokens free",
          "A public OpenAPI 3.1 document, llms.txt with Markdown twins, and Python and TypeScript SDKs that retry 408, 429 and 5xx with backoff",
          "A known-limitations page that warns injected instructions can move an answer and lists what Jev can't do, such as counting, arithmetic and date comparison",
          "The privacy policy, DPA and customer agreement agree that customer data isn't used for training"
        ],
        "weaknesses": [
          "Early access behind a waitlist, with no free tier or free credits found",
          "No SLA, and the customer agreement promises only commercially reasonable efforts to give notice of API changes",
          "Published limits of 40 requests a second can change without notice",
          "No security.txt and no stated retention period, and the trust centre and subprocessor list render only with JavaScript",
          "Closed and text only, with 32,000 tokens for state plus the longest question"
        ],
        "agentNotes": [
          "Put every independent question about one state into a single call. They run in parallel and the state is billed once",
          "Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds",
          "Back off exponentially on 429 and 529. The limits move with demand",
          "Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens",
          "Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 62.1
          }
        ],
        "editorialScores": {
          "ergonomics": 84,
          "maintenance": 64,
          "payments": 20,
          "reliability": 60,
          "schema": 87,
          "security": 53,
          "transparency": 41
        },
        "provenanceScore": 70
      },
      "connect": {
        "install": "pip install typesafe-sdk   # or: npm install @typesafe-ai/sdk",
        "http": "curl https://api.typesafe.ai/v1/systemone \\\n  -H \"Authorization: Bearer $TYPESAFE_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"jev-latest\",\"state\":\"Checkout has failed for every customer for an hour.\",\"questions\":{\"urgent\":{\"type\":\"noul\",\"instructions\":\"Is this request urgent?\"},\"team\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"Payments and refunds\",\"technical\":\"Outages and errors\"}}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/typesafe-jev"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Jev 1.13 input",
          "unit": "1m-tokens",
          "usd": 0.042,
          "note": "Output tokens free"
        }
      ],
      "provenance": {
        "legalEntity": "TypeSafe AI, Inc.",
        "domain": "typesafe.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://typesafe.ai/legal/mca",
        "privacy": "https://typesafe.ai/legal/privacy-policy",
        "statusPage": "https://status.typesafe.ai",
        "changelog": "https://docs.typesafe.ai/sdk/python/changelog",
        "securityTxt": "none",
        "checked": "2026-10-01",
        "notes": [
          "The Master Customer Agreement (updated 23 September 2026) governs use of the API. The site's terms of use (19 September 2026) name TypeSafe AI, Inc. and Delaware law.",
          "typesafe.ai/.well-known/security.txt returns 404.",
          "We couldn't read the domain's registration date, since RDAP refused our reader.",
          "The changelog is the Python SDK's. We found no changelog for the API or the model."
        ],
        "score": 70
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/typesafe-jev.json",
      "live": {
        "slug": "typesafe-jev",
        "probe": {
          "target": "https://api.typesafe.ai/v1/systemone",
          "method": "get",
          "lastAt": "2026-10-09T09:27:08.588828631Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 181,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 189,
          "p95ms24h": 259,
          "samples24h": 261,
          "samples30d": 1828,
          "days": [
            {
              "date": "2026-10-02",
              "probes": 100,
              "ok": 100
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 101,
              "ok": 101
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.typesafe.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:37.265872388Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "typesafe-ai/typesafe-sdk-python",
            "version": "v0.7.2",
            "released": "2026-09-26",
            "seenAt": "2026-10-08T16:33:07.561621607Z"
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          {
            "registry": "npm",
            "name": "@typesafe-ai/sdk",
            "version": "0.6.0",
            "seenAt": "2026-10-08T16:33:07.140594035Z"
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          {
            "registry": "pypi",
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            "version": "0.7.2",
            "released": "2026-09-26",
            "seenAt": "2026-10-08T16:33:06.953697003Z"
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        "githubStars": 276,
        "npmWeekly": 1500722,
        "pypiWeekly": 1035871,
        "securityTxt": {
          "url": "https://typesafe.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:47.390293407Z"
        },
        "llmsTxt": {
          "url": "https://docs.typesafe.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:57.169110601Z"
        },
        "domain": {
          "domain": "typesafe.ai",
          "registered": "2024-05-07",
          "source": "https://rdap.identitydigital.services/rdap/domain/typesafe.ai",
          "checkedAt": "2026-10-04T13:08:19.224445149Z"
        },
        "pages": [
          {
            "url": "https://docs.typesafe.ai/sdk/python/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:19:40.416326003Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "1652185fb0d5"
          },
          {
            "url": "https://typesafe.ai/legal/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:25:25.567047812Z",
            "changedAt": "2026-10-08T18:25:25.567047812Z",
            "fingerprint": "afc3649e2f1b"
          },
          {
            "url": "https://typesafe.ai/legal/mca",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:25:23.25255997Z",
            "changedAt": "2026-10-08T18:25:23.25255997Z",
            "fingerprint": "e32b05842307"
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        ],
        "updatedAt": "2026-10-09T09:27:08.588828631Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Mark Marosi (Mapika)",
        "b": "TypeSafe AI",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.typesafe.ai/v1/systemone",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (code and weights)",
        "b": "Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-09-26",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "1.1k stars, 2.7k PyPI/wk",
        "b": "15 stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Decider scores 69.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Decider or Jev?"
      },
      {
        "answer": "Decider needs no key. Jev needs an API key.",
        "question": "Do Decider and Jev need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Decider. Jev has a hosted endpoint at https://api.typesafe.ai/v1/systemone.",
        "question": "Can an agent call Decider and Jev without installing anything?"
      },
      {
        "answer": "Decider is open source (Apache-2.0 (code and weights)). No open-source release is listed for Jev.",
        "question": "Are Decider and Jev open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 90 against 60",
          "Payments \u0026 pricing, 60 against 20",
          "Maintenance \u0026 community, 87 against 64"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 87 against 78",
          "Security \u0026 auth, 53 against 38",
          "Transparency \u0026 trust, 56 against 46"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.",
        "slug": "typesafe-jev",
        "watchFor": "Early access behind a waitlist, with no free tier or free credits found"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Inference decision"
    },
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        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.json",
        "title": "Clef vs Decider",
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      {
        "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/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"
      },
      {
        "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"
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        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-vela.json",
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        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.json",
        "title": "Liquid d1 vs Jev",
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        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.json",
        "title": "OpenAI Decisions API vs Jev",
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        "title": "Jev vs Vela 2.0",
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      {
        "by": 30,
        "decider": 90,
        "edge": "decider",
        "key": "reliability",
        "name": "Reliability",
        "typesafe-jev": 60,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
        "by": 9,
        "decider": 78,
        "edge": "typesafe-jev",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "typesafe-jev": 87,
        "weight": 13
      },
      {
        "by": 4,
        "decider": 80,
        "edge": "typesafe-jev",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "typesafe-jev": 84,
        "weight": 13
      },
      {
        "by": 15,
        "decider": 38,
        "edge": "typesafe-jev",
        "key": "security",
        "name": "Security \u0026 auth",
        "typesafe-jev": 53,
        "weight": 14
      },
      {
        "by": 40,
        "decider": 60,
        "edge": "decider",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "typesafe-jev": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 23,
        "decider": 87,
        "edge": "decider",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "typesafe-jev": 64,
        "weight": 7
      },
      {
        "by": 10,
        "decider": 46,
        "edge": "typesafe-jev",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "typesafe-jev": 56,
        "weight": 7
      }
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    "summary": "Decider scores 69.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust. Both do inference decision.",
    "verdicts": {
      "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.",
      "typesafe-jev": "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found."
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  "markdown": "Decider scores 69.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust. Both do inference decision.\n\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- Jev: grade B, 62.1/100, rank #400 of 842. Markdown https://www.anchorterminal.com/tools/typesafe-jev.md · JSON https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n\n## Which one, for what\n\n### 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 60\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 87 against 64\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1\n\n### Jev (B)\n\nGood for: High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 78\n- Security \u0026 auth, 53 against 38\n- Transparency \u0026 trust, 56 against 46\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Early access behind a waitlist, with no free tier or free credits found\n\n\n## Score by category\n\n| Category | Weight | Decider | Jev | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 60 | Decider +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 87 | Jev +9 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 84 | Jev +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 53 | Jev +15 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | Decider +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 87 | 64 | Decider +23 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 46 | 56 | Jev +10 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.5 · B** | **62.1 · B** | |\n\n## Facts side by side\n\n| Fact | Decider | Jev |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Mark Marosi (Mapika) | TypeSafe AI |\n| Hosted endpoint | no (local only) | `https://api.typesafe.ai/v1/systemone` |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (code and weights) | Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-07 | 2026-09-26 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | no date given |\n| Customer content may train models |  | not found in the text |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 1.1k stars, 2.7k PyPI/wk | 15 stars |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\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**Jev.** Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.\n\n## Before you call either\n\n### 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### Jev\n\n1. Put every independent question about one state into a single call. They run in parallel and the state is billed once\n2. Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds\n3. Back off exponentially on 429 and 529. The limits move with demand\n4. Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens\n5. Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger\n\n## Questions\n\n### Which is better for AI agents, Decider or Jev?\n\nDecider scores 69.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust.\n\n### Do Decider and Jev need an API key?\n\nDecider needs no key. Jev needs an API key.\n\n### Can an agent call Decider and Jev without installing anything?\n\nNo hosted endpoint is listed for Decider. Jev has a hosted endpoint at https://api.typesafe.ai/v1/systemone.\n\n### Are Decider and Jev open source?\n\nDecider is open source (Apache-2.0 (code and weights)). No open-source release is listed for Jev.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.json, and with the fewest tokens: https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"decider\", \"b\": \"typesafe-jev\"}`. From a terminal: `anchor compare decider typesafe-jev`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/decider.json and https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n\n## Other comparisons with Decider or Jev\n\n- [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md)\n- [Celeris-1 Decision vs Jev](https://www.anchorterminal.com/compare/celeris-1-decision-vs-typesafe-jev.md)\n- [Clef vs Decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.md)\n- [Clef vs Jev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.md)\n- [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md)\n- [Laya vs Jev](https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.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 Vela 2.0](https://www.anchorterminal.com/compare/decider-vs-vela.md)\n- [GLiClass vs Jev](https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.md)\n- [Kev vs Jev](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.md)\n- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md)\n- [OpenAI Decisions API vs Jev](https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Jev vs Vela 2.0](https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.md)\n",
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