{ "data": { "a": { "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": 194, "ranked": true, "rankOf": 629, "categoryRank": 3, "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" } }, "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on reliability, payments \u0026 pricing and maintenance \u0026 community.", "b": { "slug": "openai-decisions-api", "name": "OpenAI Decisions API", "vendor": "OpenAI", "vendorUrl": "https://developers.openai.com", "kind": "model", "category": "decision-models", "summary": "The Decisions API is an OpenAI endpoint, in public beta since 6 October 2026, that reads text and images and returns typed answers with probabilities, a predicate, a choice from a fixed set or a rubric score.", "url": "https://www.anchorterminal.com/tools/openai-decisions-api", "markdownUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json", "repo": "https://github.com/openai/openai-python", "license": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://api.openai.com/v1/decisions", "packages": [ { "registry": "pypi", "name": "openai" }, { "registry": "npm", "name": "openai" } ], "auth": "api-key", "authNotes": "`Authorization: Bearer` with an ordinary OpenAI project key, self-serve from the platform dashboard after sign-up. No waitlist or separate approval for the beta was found. Keys carry their own permissions under the access-control guide (https://developers.openai.com/api/docs/guides/rbac). We didn't confirm that a key can be restricted to `/v1/decisions` alone.", "pricing": "usage", "pricingNotes": "$0.10 per million input tokens on `gpt-6-luna`, with no output, cache-read or cache-write charge (https://developers.openai.com/api/docs/guides/decisions). Long-context input multipliers and regional processing premiums apply, which on GPT-6 Luna are 2x input over 272,000 tokens and 10 per cent. No sandbox. The rate-limits guide lists a Free tier capped at $100 a month, but GPT-6 Luna's limits start at the Build tier, reached with $5 of credit (https://developers.openai.com/api/docs/guides/rate-limits).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Decisions guide, the API reference or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 31774, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://developers.openai.com/api/docs/guides/decisions", "llmsTxt": "https://developers.openai.com/llms.txt", "openapi": "https://github.com/openai/openai-openapi", "capabilities": [ "inference.decision" ], "tags": [ "official", "hosted", "model", "closed-source", "openapi", "llms-txt", "python", "typescript", "go", "java", "usage-priced", "status-page", "beta" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 71.5, "grade": "BB", "agentReady": true, "rank": 102, "ranked": true, "rankOf": 629, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 87, "maintenance": 77, "payments": 30, "reliability": 53, "schema": 89, "security": 83, "transparency": 83 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found.", "bestFor": "High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.", "strengths": [ "Three typed question kinds, predicate, choice and score, with per-option probabilities and up to 200 questions about one input in a call", "$0.10 per million input tokens on `gpt-6-luna`, with no output, cache-read or cache-write charge", "Text and up to 128 inline images in one request", "The official OpenAPI 3.1 document carries `POST /decisions` with typed limits, and five official SDKs support it", "Not used for training by default, eligible for Zero Data Retention and HIPAA use, per OpenAI's data-controls guide" ], "weaknesses": [ "Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date", "One model alias, `gpt-6-luna`, with no dated snapshot to pin", "Images must be inline base64 data URLs. Hosted image URLs and `file_id` inputs aren't accepted", "Not among the endpoints the Batch guide lists, and no SLA covering it was found", "No guidance on adversarial or injected content was found in the guide or the reference" ], "agentNotes": [ "Put independent questions about one input in a single `questions` array. Send a separate request when a question depends on an earlier answer", "Check each answer's `type` before reading it. A question can come back as `refusal` while the others in the same request are answered", "Encode images as base64 data URLs. Hosted URLs and `file_id` inputs are rejected", "Give a `choice` question a fallback value such as `other`, and set thresholds from your own labelled examples", "Use Python SDK 3.26.0 or JavaScript 7.30.0 or later, and follow `Retry-After` on 429 and 503" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 71.5 } ], "editorialScores": { "ergonomics": 87, "maintenance": 77, "payments": 30, "reliability": 53, "schema": 89, "security": 83, "transparency": 71 }, "provenanceScore": 94 }, "connect": { "install": "pip install openai # or: npm i openai", "http": "curl https://api.openai.com/v1/decisions \\\n -H \"Authorization: Bearer $OPENAI_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"gpt-6-luna\",\"input\":\"I was charged twice for my order.\",\"questions\":[{\"type\":\"choice\",\"name\":\"department\",\"instructions\":\"Which department should handle this complaint?\",\"choices\":[{\"value\":\"billing\",\"description\":\"Payments, invoices, and refunds.\"},{\"value\":\"technical\",\"description\":\"Problems using the product.\"},{\"value\":\"other\",\"description\":\"Requests outside these categories.\"}]}]}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/openai-decisions-api" }, "sameCompany": [ "openai-api", "openai-embeddings", "openai-moderation", "openai-image-api", "openai-sora", "openai-agents-sdk", "openai-codex" ], "area": "models", "unitPrices": [ { "item": "gpt-6-luna input on /v1/decisions", "unit": "1m-tokens", "usd": 0.1, "note": "No output, cache-read or cache-write charge" } ], "provenance": { "legalEntity": "OpenAI OpCo, LLC", "domain": "openai.com", "domainRegistered": "2007-01-19", "endpointOnVendorDomain": true, "terms": "https://openai.com/policies/services-agreement/", "privacy": "https://openai.com/policies/privacy-policy/", "statusPage": "https://status.openai.com", "changelog": "https://developers.openai.com/api/docs/changelog", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "Same entity, terms and privacy policy as the OpenAI API listing. openai.com answered 403 to our reader on 8 October, so the legal entity and the two policy URLs stand per that listing's check of 26 September and weren't re-read.", "RDAP gives openai.com a registration date of 2007-01-19, before OpenAI existed.", "status.openai.com lists a Decisions component under APIs, read on 8 October.", "The changelog entry for the release is dated 6 October 2026.", "openai.com/.well-known/security.txt is PGP-signed and names a Bugcrowd contact and a disclosure policy. It has no Expires field, which RFC 9116 requires." ], "score": 94 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.json", "live": { "slug": "openai-decisions-api", "probe": { "target": "https://api.openai.com/v1/decisions", "method": "get", "lastAt": "2026-10-08T19:08:54.63911762Z", "lastOk": true, "lastStatus": 404, "lastMs": 138, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 138, "p95ms24h": 180, "samples24h": 42, "samples30d": 42, "days": [ { "date": "2026-10-08", "probes": 42, "ok": 42 } ] }, "vendorStatus": { "page": "https://status.openai.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-08T19:06:47.372902691Z" }, "versions": [ { "registry": "github", "name": "openai/openai-python", "version": "v3.26.1", "released": "2026-10-08", "seenAt": "2026-10-08T16:23:39.461409891Z" }, { "registry": "npm", "name": "openai", "version": "7.30.1", "seenAt": "2026-10-08T16:23:39.419090152Z" }, { "registry": "pypi", "name": "openai", "version": "3.26.1", "released": "2026-10-08", "seenAt": "2026-10-08T16:23:39.293419418Z" } ], "githubStars": 31777, "npmWeekly": 50858207, "pypiWeekly": 74231726, "securityTxt": { "url": "https://openai.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-10-08T15:38:50.073851341Z" }, "updatedAt": "2026-10-08T19:08:54.63911762Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Jared Palmer", "b": "OpenAI", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.openai.com/v1/decisions", "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": "free", "b": "$0.10 per 1M tokens", "name": "Price for inference decision" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (code, adapters and weights)", "b": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-01", "b": "2026-10-06", "name": "Last release" }, { "a": "no document linked", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "no document linked", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "32k stars", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on reliability, payments \u0026 pricing and maintenance \u0026 community.", "question": "Which is better for AI agents, Kev or OpenAI Decisions API?" }, { "answer": "Kev, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.", "question": "Which is cheaper for inference decision, Kev or OpenAI Decisions API?" }, { "answer": "Kev needs no key. OpenAI Decisions API needs an API key.", "question": "Do Kev and OpenAI Decisions API need an API key?" }, { "answer": "No hosted endpoint is listed for Kev. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions.", "question": "Can an agent call Kev and OpenAI Decisions API without installing anything?" }, { "answer": "Kev is open source (Apache-2.0 (code, adapters and weights)). No open-source release is listed for OpenAI Decisions API.", "question": "Are Kev and OpenAI Decisions API open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 73 against 53", "Payments \u0026 pricing, 60 against 30", "Maintenance \u0026 community, 83 against 77" ], "also": [ "No key needed to call it", "Open source" ], "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" }, { "aheadOn": [ "Schema \u0026 documentation, 89 against 77", "Agent ergonomics, 87 against 78", "Security \u0026 auth, 83 against 49", "Transparency \u0026 trust, 83 against 49" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install" ], "goodFor": "High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.", "slug": "openai-decisions-api", "watchFor": "Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date" } ], "job": { "capability": "inference.decision", "name": "Inference decision" }, "others": [ { "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/cloudflare-clef-vs-openai-decisions-api.json", "title": "Clef vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api" }, { "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-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/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-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" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.json", "title": "Liquid d1 vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json", "title": "OpenAI Decisions API vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.json", "title": "OpenAI Decisions API vs Jev", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.json", "title": "OpenAI Decisions API vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela" } ], "scores": [ { "by": 20, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 73, "key": "reliability", "name": "Reliability", "openai-decisions-api": 53, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 12, "edge": "openai-decisions-api", "jaredpalmer-kev": 77, "key": "schema", "name": "Schema \u0026 documentation", "openai-decisions-api": 89, "weight": 13 }, { "by": 9, "edge": "openai-decisions-api", "jaredpalmer-kev": 78, "key": "ergonomics", "name": "Agent ergonomics", "openai-decisions-api": 87, "weight": 13 }, { "by": 34, "edge": "openai-decisions-api", "jaredpalmer-kev": 49, "key": "security", "name": "Security \u0026 auth", "openai-decisions-api": 83, "weight": 14 }, { "by": 30, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 60, "key": "payments", "name": "Payments \u0026 pricing", "openai-decisions-api": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 6, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "openai-decisions-api": 77, "weight": 7 }, { "by": 34, "edge": "openai-decisions-api", "jaredpalmer-kev": 49, "key": "transparency", "name": "Transparency \u0026 trust", "openai-decisions-api": 83, "weight": 7 } ], "summary": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on reliability, payments \u0026 pricing and maintenance \u0026 community. Both do inference decision.", "verdicts": { "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.", "openai-decisions-api": "Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api", "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md", "slim": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.min.md" }, "markdown": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on reliability, payments \u0026 pricing and maintenance \u0026 community. Both do inference decision.\n\n- Kev: grade B, 67.4/100, rank #194 of 629. Markdown https://www.anchorterminal.com/tools/jaredpalmer-kev.md · JSON https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json\n- OpenAI Decisions API: grade BB, 71.5/100, rank #102 of 629. Markdown https://www.anchorterminal.com/tools/openai-decisions-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n\n## Which one, for what\n\n### 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- Reliability, 73 against 53\n- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 83 against 77\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv\n\n### OpenAI Decisions API (BB)\n\nGood for: High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.\n\nAhead on:\n- Schema \u0026 documentation, 89 against 77\n- Agent ergonomics, 87 against 78\n- Security \u0026 auth, 83 against 49\n- Transparency \u0026 trust, 83 against 49\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n\nWatch for: Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date\n\n\n## Score by category\n\n| Category | Weight | Kev | OpenAI Decisions API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 53 | Kev +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 77 | 89 | OpenAI Decisions API +12 |\n| Agent ergonomics | 13% (16.2 this run) | 78 | 87 | OpenAI Decisions API +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 49 | 83 | OpenAI Decisions API +34 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | Kev +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 77 | Kev +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 83 | OpenAI Decisions API +34 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **67.4 · B** | **71.5 · BB** | |\n\n## Facts side by side\n\n| Fact | Kev | OpenAI Decisions API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Jared Palmer | OpenAI |\n| Hosted endpoint | no (local only) | `https://api.openai.com/v1/decisions` |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| Price for inference decision | free | $0.10 per 1M tokens |\n| x402 | no | no |\n| Licence | Apache-2.0 (code, adapters and weights) | Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-01 | 2026-10-06 |\n| Terms last updated | no document linked | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\n| Customer content may train models | | couldn't be read |\n| Terms restrict automated access | | couldn't be read |\n| Terms restrict benchmarking | | couldn't be read |\n| Terms or service can change without notice | | couldn't be read |\n| Arbitration or class-action waiver | | couldn't be read |\n| Popularity | none | 32k stars |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\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**OpenAI Decisions API.** Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found.\n\n## Before you call either\n\n### 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### OpenAI Decisions API\n\n1. Put independent questions about one input in a single `questions` array. Send a separate request when a question depends on an earlier answer\n2. Check each answer's `type` before reading it. A question can come back as `refusal` while the others in the same request are answered\n3. Encode images as base64 data URLs. Hosted URLs and `file_id` inputs are rejected\n4. Give a `choice` question a fallback value such as `other`, and set thresholds from your own labelled examples\n5. Use Python SDK 3.26.0 or JavaScript 7.30.0 or later, and follow `Retry-After` on 429 and 503\n\n## Questions\n\n### Which is better for AI agents, Kev or OpenAI Decisions API?\n\nOpenAI Decisions API scores 71.5 (BB) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on reliability, payments \u0026 pricing and maintenance \u0026 community.\n\n### Which is cheaper for inference decision, Kev or OpenAI Decisions API?\n\nKev, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.\n\n### Do Kev and OpenAI Decisions API need an API key?\n\nKev needs no key. OpenAI Decisions API needs an API key.\n\n### Can an agent call Kev and OpenAI Decisions API without installing anything?\n\nNo hosted endpoint is listed for Kev. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions.\n\n### Are Kev and OpenAI Decisions API open source?\n\nKev is open source (Apache-2.0 (code, adapters and weights)). No open-source release is listed for OpenAI Decisions API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"jaredpalmer-kev\", \"b\": \"openai-decisions-api\"}`. From a terminal: `anchor compare jaredpalmer-kev openai-decisions-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json and https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n\n## Other comparisons with Kev or OpenAI Decisions API\n\n- [Clef vs Kev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-jaredpalmer-kev.md)\n- [Clef vs OpenAI Decisions API](https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.md)\n- [Laya vs Kev](https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.md)\n- [Laya vs OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.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- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)\n- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [OpenAI Decisions API vs Jev](https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.md)\n- [OpenAI Decisions API vs Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Kev vs OpenAI Decisions API", "url": "" } ], "description": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Kev's 67.4 (B), and leads in 4 of 7 scored categories. Kev leads on reliability, payments \u0026 pricing and maintenance \u0026 community. Both do inference decision. Category scores, facts, verdicts and agent notes side by…", "facts": [ "Kev B 67.4", "OpenAI Decisions API BB 71.5", "scores" ], "h1": "Kev vs OpenAI Decisions API", "image": "https://www.anchorterminal.com/assets/og/compare-jaredpalmer-kev-vs-openai-decisions-api.png", "path": "/compare/jaredpalmer-kev-vs-openai-decisions-api", "published": "2026-10-01", "section": "tools", "title": "Kev vs OpenAI Decisions API for AI agents, B 67.4 vs BB 71.5", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api" }, "tokens": { "markdown": 2250, "slim": 780 }, "version": 1 }