{
  "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 Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on security \u0026 auth.",
    "b": {
      "slug": "jaredpalmer-kev",
      "name": "Kev",
      "vendor": "Jared Palmer",
      "vendorUrl": "https://github.com/jaredpalmer",
      "kind": "model",
      "category": "decision-models",
      "summary": "Kev is a family of four open-weight decision models by Jared Palmer, released together as Kev 1.0 on 1 October 2026 under Apache-2.0.",
      "url": "https://www.anchorterminal.com/tools/jaredpalmer-kev",
      "markdownUrl": "https://www.anchorterminal.com/tools/jaredpalmer-kev.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/jaredpalmer-kev.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json",
      "repo": "https://github.com/jaredpalmer/kev",
      "license": "Apache-2.0 (code, adapters and weights)",
      "transports": [
        "http"
      ],
      "packages": [],
      "auth": "none",
      "authNotes": "No account. `kev.serve` binds to 127.0.0.1 and is open by default. Setting `KEV_API_KEY` makes it require `Authorization: Bearer \u003ckey\u003e` on `/v1/*`, which the TypeSafe clients always send. The weights download from Hugging Face without an account.",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy. You pay for the hardware. The Modal deploy skill lists $0.80 an hour for Kev-0.8B on an L4, $1.95 for Kev-4B on an L40S, $3.95 for Kev-9B on an H100 and $6.25 for Kev-27B on a B200 while a container is up, scaling to zero after five idle minutes (https://github.com/jaredpalmer/kev/blob/main/skills/kev-deploy/SKILL.md). Those are Modal's GPU rates as the skill records them, not a Kev price.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Kev is software you run, and its server has no payment route (checked 2026-10-02).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-02"
      },
      "docsUrl": "https://github.com/jaredpalmer/kev#readme",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 67.4,
        "grade": "B",
        "agentReady": false,
        "rank": 235,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 78,
          "maintenance": 83,
          "payments": 60,
          "reliability": 73,
          "schema": 77,
          "security": 49,
          "transparency": 49
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models. No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv.",
        "bestFor": "Self-hosted classification, routing, triage and rubric scoring where a probability matters, especially for teams already calling Jev who want the same API on their own hardware.",
        "strengths": [
          "Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models",
          "The same `/v1/systemone` request and answer shapes as Jev, and the README says TypeSafe's Python SDK works against it unchanged",
          "A fitted temperature per checkpoint, with Brier scores, calibration error and confident-error rates published for each model",
          "Runs on CUDA, ROCm and Apple Silicon, from a 4 GB GPU for Kev-0.8B to one 80 GB GPU for Kev-27B, and deploys to Modal with one command",
          "Release notes that list known failures with numbers, such as date arithmetic and Kev-0.8B's tool-routing accuracy"
        ],
        "weaknesses": [
          "No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv",
          "Kev-0.8B, 4B and 9B are validated to 8,192 tokens of state, though the server accepts 65,536",
          "Jared Palmer wrote 312 of the 333 commits we cloned",
          "No SECURITY.md, disclosure policy or advisories, and the server is open unless `KEV_API_KEY` is set",
          "Below 27B it trails Jev on knowledge questions and date arithmetic, with MMLU-Pro at 0.59 for Kev-9B against Jev's 0.84"
        ],
        "agentNotes": [
          "Install from the repository. The `kev` package on PyPI is an unrelated project",
          "Pin a checkpoint with `@v1.0`, as in `jaredpalmer/kev-4b@v1.0`, so tuned thresholds keep their meaning",
          "Keep states under 8,192 tokens on Kev-0.8B, 4B and 9B, or use Kev-27B for long documents",
          "Set `KEV_DATE_FACTS=1` when a decision depends on the gap between two dates",
          "Expect a 422 naming the token count when a state passes 65,536 tokens. The server refuses it instead of cutting it"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 67.4
          }
        ],
        "editorialScores": {
          "ergonomics": 78,
          "maintenance": 83,
          "payments": 60,
          "reliability": 73,
          "schema": 77,
          "security": 49,
          "transparency": 70
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "git clone https://github.com/jaredpalmer/kev.git \u0026\u0026 cd kev \u0026\u0026 uv sync --extra serve\nuv run --extra serve python -m kev.serve --run jaredpalmer/kev-4b@v1.0 --port 8009",
        "http": "curl -s localhost:8009/v1/systemone -H 'content-type: application/json' \\\n  -d '{\"model\":\"kev-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/jaredpalmer-kev"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "github.com/jaredpalmer",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/jaredpalmer/kev/releases",
        "securityTxt": "none",
        "checked": "2026-10-01",
        "notes": [
          "An individual's open-source project under Apache-2.0, with no company named in the licence, README or package metadata. The pyproject names Jared Palmer as author.",
          "No vendor domain. The code is at github.com/jaredpalmer/kev and the weights at huggingface.co/jaredpalmer, so the domain line names the GitHub account and scores no domain age.",
          "Software you run, so there's no hosted endpoint, terms or privacy policy to check.",
          "The changelog is the GitHub releases page (`kev-1.0`, 1 October 2026) and docs/releases/kev-1.0.md."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/jaredpalmer-kev.json",
      "live": {
        "slug": "jaredpalmer-kev",
        "versions": [
          {
            "registry": "github",
            "name": "jaredpalmer/kev",
            "version": "kev-1.0",
            "released": "2026-10-01",
            "seenAt": "2026-10-08T16:17:19.912761154Z"
          }
        ],
        "githubStars": 8720,
        "domain": {
          "domain": "github.com/jaredpalmer",
          "checkedAt": "2026-10-04T13:10:21.931207592Z"
        },
        "updatedAt": "2026-10-08T16:17:19.912761154Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Mark Marosi (Mapika)",
        "b": "Jared Palmer",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "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 (code and weights)",
        "b": "Apache-2.0 (code, adapters and weights)",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-10-01",
        "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": "1.1k stars, 2.7k PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Decider scores 69.5 (B) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on security \u0026 auth.",
        "question": "Which is better for AI agents, Decider or Kev?"
      },
      {
        "answer": "Neither needs a key.",
        "question": "Do Decider and Kev need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Decider. No hosted endpoint is listed for Kev.",
        "question": "Can an agent call Decider and Kev without installing anything?"
      },
      {
        "answer": "Yes. Decider is open source (Apache-2.0 (code and weights)). Kev is open source (Apache-2.0 (code, adapters and weights)).",
        "question": "Are Decider and Kev open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 90 against 73"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Security \u0026 auth, 49 against 38"
        ],
        "also": null,
        "goodFor": "Self-hosted classification, routing, triage and rubric scoring where a probability matters, especially for teams already calling Jev who want the same API on their own hardware.",
        "slug": "jaredpalmer-kev",
        "watchFor": "No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Inference decision"
    },
    "others": [
      {
        "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/celeris-1-decision-vs-jaredpalmer-kev.json",
        "title": "Celeris-1 Decision vs Kev",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev"
      },
      {
        "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/cloudflare-clef-vs-jaredpalmer-kev.json",
        "title": "Clef vs Kev",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-jaredpalmer-kev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-decider.json",
        "title": "Laya vs Decider",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-decider"
      },
      {
        "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/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-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"
      },
      {
        "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"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.json",
        "title": "GLiClass vs Kev",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.json",
        "title": "Kev vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.json",
        "title": "Kev vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.json",
        "title": "Kev vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.json",
        "title": "Kev vs Jev",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.json",
        "title": "Kev vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela"
      }
    ],
    "scores": [
      {
        "by": 17,
        "decider": 90,
        "edge": "decider",
        "jaredpalmer-kev": 73,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "decider": 78,
        "edge": "decider",
        "jaredpalmer-kev": 77,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 2,
        "decider": 80,
        "edge": "decider",
        "jaredpalmer-kev": 78,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 11,
        "decider": 38,
        "edge": "jaredpalmer-kev",
        "jaredpalmer-kev": 49,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "decider": 60,
        "edge": "",
        "jaredpalmer-kev": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 4,
        "decider": 87,
        "edge": "decider",
        "jaredpalmer-kev": 83,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 3,
        "decider": 46,
        "edge": "jaredpalmer-kev",
        "jaredpalmer-kev": 49,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Decider scores 69.5 (B) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on security \u0026 auth. 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.",
      "jaredpalmer-kev": "Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models. No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv."
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  "markdown": "Decider scores 69.5 (B) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on security \u0026 auth. 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- Kev: grade B, 67.4/100, rank #235 of 842. Markdown https://www.anchorterminal.com/tools/jaredpalmer-kev.md · JSON https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.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 73\n\nWatch for: The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1\n\n### Kev (B)\n\nGood for: Self-hosted classification, routing, triage and rubric scoring where a probability matters, especially for teams already calling Jev who want the same API on their own hardware.\n\nAhead on:\n- Security \u0026 auth, 49 against 38\n\nWatch for: No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv\n\n\n## Score by category\n\n| Category | Weight | Decider | Kev | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 73 | Decider +17 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 77 | Decider +1 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 78 | Decider +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 49 | Kev +11 |\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) | 87 | 83 | Decider +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 46 | 49 | Kev +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.5 · B** | **67.4 · B** | |\n\n## Facts side by side\n\n| Fact | Decider | Kev |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Mark Marosi (Mapika) | Jared Palmer |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 (code and weights) | Apache-2.0 (code, adapters and weights) |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-07 | 2026-10-01 |\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 | 1.1k stars, 2.7k PyPI/wk | none |\n| Agent reviews | none | 3.5/5 (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**Kev.** Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models. No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv.\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### Kev\n\n1. Install from the repository. The `kev` package on PyPI is an unrelated project\n2. Pin a checkpoint with `@v1.0`, as in `jaredpalmer/kev-4b@v1.0`, so tuned thresholds keep their meaning\n3. Keep states under 8,192 tokens on Kev-0.8B, 4B and 9B, or use Kev-27B for long documents\n4. Set `KEV_DATE_FACTS=1` when a decision depends on the gap between two dates\n5. Expect a 422 naming the token count when a state passes 65,536 tokens. The server refuses it instead of cutting it\n\n## Questions\n\n### Which is better for AI agents, Decider or Kev?\n\nDecider scores 69.5 (B) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on security \u0026 auth.\n\n### Do Decider and Kev need an API key?\n\nNeither needs a key.\n\n### Can an agent call Decider and Kev without installing anything?\n\nNo hosted endpoint is listed for Decider. No hosted endpoint is listed for Kev.\n\n### Are Decider and Kev open source?\n\nYes. Decider is open source (Apache-2.0 (code and weights)). Kev is open source (Apache-2.0 (code, adapters and weights)).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.json, and with the fewest tokens: https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"decider\", \"b\": \"jaredpalmer-kev\"}`. From a terminal: `anchor compare decider jaredpalmer-kev`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/decider.json and https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json\n\n## Other comparisons with Decider or Kev\n\n- [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md)\n- [Celeris-1 Decision vs Kev](https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.md)\n- [Clef vs Decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.md)\n- [Clef vs Kev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-jaredpalmer-kev.md)\n- [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md)\n- [Laya vs Kev](https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.md)\n- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.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- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Kev vs Jev](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.md)\n- [Kev vs Vela 2.0](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.md)\n",
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        "name": "Decider vs Kev",
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    "description": "Decider scores 69.5 (B) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on security \u0026 auth. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.",
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    "image": "https://www.anchorterminal.com/assets/og/compare-decider-vs-jaredpalmer-kev.png",
    "path": "/compare/decider-vs-jaredpalmer-kev",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Decider vs Kev for AI agents, B 69.5 vs B 67.4 | Anchor Terminal",
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    "updated": "2026-10-09",
    "url": "https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev"
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