{ "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": 275, "ranked": true, "rankOf": 1133, "categoryRank": 7, "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": "2026-10-17T01:55:23.110902588Z" } ], "githubStars": 9244, "domain": { "domain": "github.com/jaredpalmer", "checkedAt": "2026-10-11T13:20:17.496325718Z" }, "updatedAt": "2026-10-17T01:55:23.110902588Z" } }, "answer": "Kev scores 67.4 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "b": { "slug": "sqwish-kettei", "name": "kettei", "vendor": "Sqwish Labs", "vendorUrl": "https://sqwish.ai", "kind": "model", "category": "decision-models", "summary": "kettei is Sqwish Labs' family of decision models, released on 14 October 2026. Its OneHot API returns a probability for each allowed answer to yes or no, choice and rating questions about text or images, and fine-tunes the smaller sizes.", "url": "https://www.anchorterminal.com/tools/sqwish-kettei", "markdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json", "repo": "https://github.com/sqwishai/onehot-agent", "license": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026", "transports": [ "http" ], "remoteUrl": "https://api.sqwish.ai/v1/decide", "packages": [ { "registry": "pypi", "name": "sqwishai" }, { "registry": "npm", "name": "sqwishai" } ], "auth": "api-key", "authNotes": "A bearer key (`onehot_sk_...`) created in the console at console.sqwish.ai and shown once. Each key has full, inference or read-only scope, and an inference key can carry a monthly spend cap. No key can create keys, buy credit or change the account. `/v1/lint`, `/v1/recipes`, `/v1/systemone/translate` and `/healthz` need no key.", "pricing": "usage", "pricingNotes": "Prepaid credit bought in the console, with no contract. Per million input tokens, kettei fat costs $0.06, chub $0.04 and core $0.02, and fine-tuned chub and core cost twice their base rate. Output isn't billed. Training costs $0.80 (chub) or $0.40 (core) per million training tokens, at least $2.50 a job, charged only if it succeeds. Keep warm is $0.10 an hour. Admission gives $5.00 of credit for 30 days, and new accounts may start on a waitlist (https://docs.sqwish.ai/guides/pricing).", "priceSummary": "$0.50 / tx", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, llms.txt, the OpenAPI document or the pricing page (checked 2026-10-17). Credit is bought through Stripe in the console.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 1224, "pypiWeekly": null, "asOf": "2026-10-17" }, "docsUrl": "https://docs.sqwish.ai/introduction", "llmsTxt": "https://docs.sqwish.ai/llms.txt", "openapi": "https://api.sqwish.ai/openapi.json", "capabilities": [ "inference.decision", "finetune.sft" ], "tags": [ "hosted", "model", "closed-source", "multimodal", "openapi", "llms-txt", "mcp", "python", "typescript", "usage-priced", "prepaid", "waitlist" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 58.3, "grade": "C", "agentReady": false, "rank": 640, "ranked": true, "rankOf": 1133, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 89, "maintenance": 57, "payments": 35, "reliability": 30, "schema": 87, "security": 68, "transparency": 51 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": -2, "negativeNotes": [ "2026-10-14. The launch post says 'We're open-sourcing kettei core (3.7B) and kettei dot (900M) ... so you can run them yourself', and the OneHot page says 'core and dot are open weights you can run yourself' (https://sqwish.ai/blog/your-ai-agent-is-writing-essays-to-tick-boxes, https://sqwish.ai/onehot). On 17 October 2026 the verified Hugging Face organisation Sqwish (Sqwish Labs) listed 0 public models, no model named kettei was found on Hugging Face, and the docs name no download and no kettei-dot model (https://huggingface.co/api/organizations/sqwish/overview, checked 2026-10-17). A claim of available open weights not borne out three days after launch, -2." ], "verdict": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.", "bestFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.", "strengths": [ "Binary, single and ordinal decisions, up to 128 a request, each with a probability for every allowed answer and an optional abstain or cost policy", "Per-token prices published without a login, from $0.02 per million input tokens for kettei core, with output unbilled", "OpenAPI 3.1 contract of 76 operations, llms.txt on two hosts, Markdown twins and error tables that say what is retried and what is billed", "Idempotency keys on every decision, with a successful answer replayed free for 24 hours", "Keys scoped to full, inference or read access, with optional monthly spend caps, and no key can change the account" ], "weaknesses": [ "Launched on 14 October 2026, with no status page, no changelog and no SLA", "Rate limits depend on a tier read from the account, and the docs publish no numbers", "Terms, privacy policy and subprocessor list sit behind a Cloudflare bot check and weren't read", "The launch post and OneHot page describe kettei core and dot as open weights, and Sqwish's Hugging Face organisation listed no public models on 17 October", "No security.txt, bug bounty or certification found, and new accounts may wait on a waitlist" ], "agentNotes": [ "Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only", "Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged", "Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s", "Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response", "Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58.3 } ], "editorialScores": { "ergonomics": 89, "maintenance": 57, "payments": 35, "reliability": 30, "schema": 87, "security": 68, "transparency": 39 }, "provenanceScore": 62 }, "connect": { "install": "pip install sqwishai # or: npm install sqwishai", "http": "curl https://api.sqwish.ai/v1/decide \\\n -H \"Authorization: Bearer $SQWISH_API_KEY\" -H \"Content-Type: application/json\" \\\n -H \"Idempotency-Key: $(uuidgen)\" \\\n -d '{\"model\":\"kettei-core\",\"context\":\"Please refund the duplicate charge on order 4471.\",\"decisions\":[{\"id\":\"refund\",\"kind\":\"binary\",\"question\":\"Is a refund requested?\"}]}'", "claudeCode": "claude mcp add --transport http onehot https://api.sqwish.ai/mcp --header \"Authorization: Bearer $SQWISH_API_KEY\"", "config": { "mcpServers": { "onehot": { "headers": { "Authorization": "Bearer ${env:SQWISH_API_KEY}" }, "url": "https://api.sqwish.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/sqwish-kettei" }, "area": "models", "unitPrices": [ { "item": "kettei fat input", "unit": "1m-tokens", "usd": 0.06, "note": "Output not billed" }, { "item": "kettei chub input", "unit": "1m-tokens", "usd": 0.04, "note": "Output not billed. Fine-tuned chub $0.08" }, { "item": "kettei core input", "unit": "1m-tokens", "usd": 0.02, "note": "Output not billed. Fine-tuned core $0.04" }, { "item": "Fine-tuning kettei chub", "unit": "1m-tokens", "usd": 0.8, "note": "Per million training tokens, at least $2.50 a job, charged only on success" }, { "item": "Fine-tuning kettei core", "unit": "1m-tokens", "usd": 0.4, "note": "Per million training tokens, at least $2.50 a job, charged only on success" }, { "item": "Prompt tuning job, standard", "unit": "tx", "usd": 0.5, "note": "Thorough effort $3.00 a job" } ], "provenance": { "legalEntity": "Sqwish Labs", "domain": "sqwish.ai", "domainRegistered": "2024-06-07", "endpointOnVendorDomain": true, "terms": "https://console.sqwish.ai/terms", "privacy": "https://console.sqwish.ai/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-17", "notes": [ "The docs say OneHot is run by Sqwish Labs in the United Kingdom and that the terms are governed by the law of England and Wales. The terms, privacy policy and subprocessor list on console.sqwish.ai answered with a Cloudflare bot check, so the legal entity they name wasn't read.", "Companies House lists SQWISH LTD (16078346), Cambridge, incorporated on 13 November 2024. Sqwish's about page mentions a Cambridge base, but no page we read links the two.", "RDAP for sqwish.ai gives a registration date of 7 June 2024.", "sqwish.ai/.well-known/security.txt and docs.sqwish.ai/.well-known/security.txt return 404, and the same path on api.sqwish.ai and console.sqwish.ai returns 401. The docs give security@sqwish.ai for leaked keys.", "status.sqwish.ai did not resolve, sqwish.ai/status serves the home page, and docs.sqwish.ai/changelog returns 404.", "robots.txt allows our reader on sqwish.ai and docs.sqwish.ai. console.sqwish.ai disallows /v1/ and /auth/. api.sqwish.ai has no robots.txt.", "The docs' agent page includes a prompt for an agent to install the plugin. It was read as data and not acted on." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.json", "live": { "slug": "sqwish-kettei", "probe": { "target": "https://api.sqwish.ai/v1/decide", "method": "get", "lastAt": "2026-10-18T00:31:09.09406199Z", "lastOk": true, "lastStatus": 401, "lastMs": 216, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 223, "p95ms24h": 374, "samples24h": 27, "samples30d": 27, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 6, "ok": 6 } ] }, "pages": [ { "url": "https://docs.sqwish.ai/guides/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-17T23:02:04.301442485Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad2ab7ad7b40" }, { "url": "https://console.sqwish.ai/privacy", "kind": "privacy", "status": 403, "checkedAt": "2026-10-17T22:58:05.710191107Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://console.sqwish.ai/terms", "kind": "terms", "status": 403, "checkedAt": "2026-10-17T22:58:07.731699708Z", "changedAt": "0001-01-01T00:00:00Z" } ], "updatedAt": "2026-10-18T00:31:09.09406199Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Jared Palmer", "b": "Sqwish Labs", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.sqwish.ai/v1/decide", "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, adapters and weights)", "b": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-01", "b": "2026-10-15", "name": "Last release" }, { "a": "no document linked", "b": "", "name": "Terms last updated" }, { "a": "no document linked", "b": "", "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": "none", "b": "1.2k npm/wk", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "3.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Kev scores 67.4 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "question": "Which is better for AI agents, Kev or kettei?" }, { "answer": "Kev needs no key. kettei needs an API key.", "question": "Do Kev and kettei need an API key?" }, { "answer": "No hosted endpoint is listed for Kev. kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide.", "question": "Can an agent call Kev and kettei without installing anything?" }, { "answer": "Kev is open source (Apache-2.0 (code, adapters and weights)). No open-source release is listed for kettei.", "question": "Are Kev and kettei open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 73 against 30", "Payments \u0026 pricing, 60 against 35", "Maintenance \u0026 community, 83 against 57" ], "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, 87 against 77", "Agent ergonomics, 89 against 78", "Security \u0026 auth, 68 against 49" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.", "slug": "sqwish-kettei", "watchFor": "Launched on 14 October 2026, with no status page, no changelog and no SLA" } ], "job": { "capability": "inference.decision", "name": "Decision models" }, "others": [ { "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/celeris-1-decision-vs-sqwish-kettei.json", "title": "Celeris-1 Decision vs kettei", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei" }, { "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-sqwish-kettei.json", "title": "Clef vs kettei", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei" }, { "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-sqwish-kettei.json", "title": "Laya vs kettei", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei" }, { "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-sqwish-kettei.json", "title": "Decider vs kettei", "url": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-jaredpalmer-kev.json", "title": "Decision 3.0 vs Kev", "url": "https://www.anchorterminal.com/compare/decision-3-vs-jaredpalmer-kev" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.json", "title": "Decision 3.0 vs kettei", "url": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei" }, { "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/gliclass-vs-sqwish-kettei.json", "title": "GLiClass vs kettei", "url": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-jaredpalmer-kev.json", "title": "Granite Switch 4.1 vs Kev", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-jaredpalmer-kev" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.json", "title": "Granite Switch 4.1 vs kettei", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei" }, { "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-microsoft-decision-1.json", "title": "Kev vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex.json", "title": "Kev vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex" }, { "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-pplx-decider.json", "title": "Kev vs pplx-decider", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider-flash.json", "title": "Kev vs pplx-decider-flash", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider-flash" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown.json", "title": "Kev vs ScaleDown", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sprag-spev.json", "title": "Kev vs SPEV", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sprag-spev" }, { "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-sqwish-kettei.json", "title": "Liquid d1 vs kettei", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.json", "title": "Microsoft-Decision-1 vs kettei", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.json", "title": "Drex 1.5 vs kettei", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.json", "title": "OpenAI Decisions API vs kettei", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.json", "title": "pplx-decider-flash vs kettei", "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.json", "title": "pplx-decider vs kettei", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.json", "title": "ScaleDown vs kettei", "url": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.json", "title": "SPEV vs kettei", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.json", "title": "kettei vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.json", "title": "kettei vs Jev", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.json", "title": "kettei vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela" } ], "scores": [ { "by": 43, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 73, "key": "reliability", "name": "Reliability", "sqwish-kettei": 30, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 10, "edge": "sqwish-kettei", "jaredpalmer-kev": 77, "key": "schema", "name": "Schema \u0026 documentation", "sqwish-kettei": 87, "weight": 13 }, { "by": 11, "edge": "sqwish-kettei", "jaredpalmer-kev": 78, "key": "ergonomics", "name": "Agent ergonomics", "sqwish-kettei": 89, "weight": 13 }, { "by": 19, "edge": "sqwish-kettei", "jaredpalmer-kev": 49, "key": "security", "name": "Security \u0026 auth", "sqwish-kettei": 68, "weight": 14 }, { "by": 25, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 60, "key": "payments", "name": "Payments \u0026 pricing", "sqwish-kettei": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 26, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "sqwish-kettei": 57, "weight": 7 }, { "by": 2, "edge": "sqwish-kettei", "jaredpalmer-kev": 49, "key": "transparency", "name": "Transparency \u0026 trust", "sqwish-kettei": 51, "weight": 7 } ], "summary": "Kev scores 67.4 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.", "tutorials": [ { "title": "Classify a delivery problem with Kev", "tool": "jaredpalmer-kev", "url": "https://www.anchorterminal.com/tutorials/jaredpalmer-kev/" } ], "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.", "sqwish-kettei": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei", "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.min.md" }, "markdown": "Kev scores 67.4 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.\n\n- Kev: grade B, 67.4/100, rank #275 of 1133. Markdown https://www.anchorterminal.com/tools/jaredpalmer-kev.md · JSON https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json\n- kettei: grade C, 58.3/100, rank #640 of 1133. Markdown https://www.anchorterminal.com/tools/sqwish-kettei.md · JSON https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 190 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\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 30\n- Payments \u0026 pricing, 60 against 35\n- Maintenance \u0026 community, 83 against 57\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### kettei (C)\n\nGood for: High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 77\n- Agent ergonomics, 89 against 78\n- Security \u0026 auth, 68 against 49\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Launched on 14 October 2026, with no status page, no changelog and no SLA\n\n\n## Score by category\n\n| Category | Weight | Kev | kettei | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 30 | Kev +43 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 77 | 87 | kettei +10 |\n| Agent ergonomics | 13% (16.2 this run) | 78 | 89 | kettei +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 49 | 68 | kettei +19 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 35 | Kev +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 57 | Kev +26 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 51 | kettei +2 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **67.4 · B** | **58.3 · C** | |\n\n## Facts side by side\n\n| Fact | Kev | kettei |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Jared Palmer | Sqwish Labs |\n| Hosted endpoint | no (local only) | `https://api.sqwish.ai/v1/decide` |\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, adapters and weights) | Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-01 | 2026-10-15 |\n| Terms last updated | no document linked | |\n| Privacy policy last updated | 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 | none | 1.2k npm/wk |\n| Agent reviews | 3.5/5 (2) | 3.8/5 (4) |\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**kettei.** OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't 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### kettei\n\n1. Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only\n2. Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged\n3. Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s\n4. Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response\n5. Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked\n\n## Tutorials\n\n- [Classify a delivery problem with Kev](https://www.anchorterminal.com/tutorials/jaredpalmer-kev/), for Kev\n\n## Questions\n\n### Which is better for AI agents, Kev or kettei?\n\nKev scores 67.4 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.\n\n### Do Kev and kettei need an API key?\n\nKev needs no key. kettei needs an API key.\n\n### Can an agent call Kev and kettei without installing anything?\n\nNo hosted endpoint is listed for Kev. kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide.\n\n### Are Kev and kettei open source?\n\nKev is open source (Apache-2.0 (code, adapters and weights)). No open-source release is listed for kettei.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.json, and with the fewest tokens: https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"jaredpalmer-kev\", \"b\": \"sqwish-kettei\"}`. From a terminal: `anchor compare jaredpalmer-kev sqwish-kettei`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json and https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n\n## Other comparisons with Kev or kettei\n\n- [Celeris-1 Decision vs Kev](https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.md)\n- [Celeris-1 Decision vs kettei](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.md)\n- [Clef vs Kev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-jaredpalmer-kev.md)\n- [Clef vs kettei](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.md)\n- [Laya vs Kev](https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.md)\n- [Laya vs kettei](https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.md)\n- [Decider vs Kev](https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.md)\n- [Decider vs kettei](https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.md)\n- [Decision 3.0 vs Kev](https://www.anchorterminal.com/compare/decision-3-vs-jaredpalmer-kev.md)\n- [Decision 3.0 vs kettei](https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.md)\n- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [Granite Switch 4.1 vs Kev](https://www.anchorterminal.com/compare/granite-switch-vs-jaredpalmer-kev.md)\n- [Granite Switch 4.1 vs kettei](https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.md)\n- [Kev vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-microsoft-decision-1.md)\n- [Kev vs Drex 1.5](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Kev vs pplx-decider](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider.md)\n- [Kev vs pplx-decider-flash](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider-flash.md)\n- [Kev vs ScaleDown](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown.md)\n- [Kev vs SPEV](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sprag-spev.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 kettei](https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.md)\n- [Microsoft-Decision-1 vs kettei](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.md)\n- [Drex 1.5 vs kettei](https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.md)\n- [OpenAI Decisions API vs kettei](https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.md)\n- [pplx-decider-flash vs kettei](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.md)\n- [pplx-decider vs kettei](https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.md)\n- [ScaleDown vs kettei](https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.md)\n- [SPEV vs kettei](https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.md)\n- [kettei vs Strands Decider 2B](https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.md)\n- [kettei vs Jev](https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.md)\n- [kettei vs Vela 2.0](https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-18", "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", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Kev vs kettei", "url": "" } ], "description": "Kev scores 67.4 (B) to kettei's 58.3 (C) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Kev B 67.4", "kettei C 58.3", "scores" ], "h1": "Kev vs kettei", "image": "https://www.anchorterminal.com/assets/og/compare-jaredpalmer-kev-vs-sqwish-kettei.png", "path": "/compare/jaredpalmer-kev-vs-sqwish-kettei", "published": "2026-10-01", "section": "tools", "title": "Kev vs kettei for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-17", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei" }, "tokens": { "markdown": 2800, "slim": 680 }, "version": 1 }