{ "data": { "a": { "slug": "convai-laya", "name": "Laya", "vendor": "Convai Innovations", "vendorUrl": "https://convaiinnovations.com", "kind": "model", "category": "decision-models", "summary": "Open-source decision engine from Convai Innovations, released under Apache-2.0.", "url": "https://www.anchorterminal.com/tools/convai-laya", "markdownUrl": "https://www.anchorterminal.com/tools/convai-laya.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/convai-laya.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/convai-laya.json", "repo": "https://github.com/NandhaKishorM/laya", "license": "Apache-2.0", "transports": [ "http", "stdio" ], "packages": [ { "registry": "pypi", "name": "laya" } ], "auth": "none", "authNotes": "No account. `laya-serve` binds to 0.0.0.0:8000 and is open unless `LAYA_API_KEY` is set, after which it requires `Authorization: Bearer \u003ckey\u003e` on every route but liveness. The MCP server runs over stdio. Weights download from Hugging Face without an account.", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy. You pay for the hardware, and the README's speed figures were measured on a Tesla T4. The maintainer takes donations through Buy Me A Coffee (https://github.com/NandhaKishorM/laya).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Laya is software you run, and its server has no payment route (checked 2026-10-02).", "endpoints": [] }, "toolCount": 8, "popularity": { "githubStars": 29200, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-02" }, "docsUrl": "https://nandhakishorm.github.io/laya/", "capabilities": [ "inference.decision" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "mcp", "batch", "pre-1.0" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 69.2, "grade": "B", "agentReady": false, "rank": 208, "ranked": true, "rankOf": 1133, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 83, "payments": 60, "reliability": 65, "schema": 80, "security": 57, "transparency": 62 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI. Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning.", "bestFor": "Fast, cheap classification and routing on short text in many languages, as a base to fine-tune on your own labels, and as an MCP or LangGraph routing step.", "strengths": [ "Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI", "421M and 322M-parameter encoders that the README times at 32.8 to 39.5 ms for one question on a Tesla T4", "A Jev-compatible HTTP server with a batch route for up to 64 states, an 8-tool MCP server, and LangChain, LlamaIndex and CrewAI wrappers", "A multilingual checkpoint for 100+ languages and a router that picks the checkpoint per request", "An honest-limits section in the README, SECURITY.md with private reporting, and CI that runs gitleaks, pip-audit and CodeQL" ], "weaknesses": [ "Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning", "Choice options share a 192 or 256-token budget, and the README reports 0.425 on Banking77's 77 labels", "512 tokens of context on the English checkpoint and 1,024 by default on the others", "`laya-serve` listens on 0.0.0.0 with no key unless `LAYA_API_KEY` is set", "26 releases in 13 days, still 0.x and marked beta, with 61 open issues and 81 open pull requests" ], "agentNotes": [ "Set `LAYA_API_KEY` before starting `laya-serve`. It listens on every interface by default", "Gate on `answer_confidence`, not `confidence`, which measures entropy and doesn't match Jev's field", "Shortlist choice questions with more than about 20 options using `predict_shortlist` or the `laya_shortlist` tool", "Use semantic or opaque labels such as `A` and `B`, not `yes` and `no`, in choice questions. The checkpoints can follow the label text", "Pass `model=\"multilingual\"` and `max_len=8192` for long documents. The English checkpoint stops at 512 tokens" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.2 } ], "editorialScores": { "ergonomics": 80, "maintenance": 83, "payments": 60, "reliability": 65, "schema": 80, "security": 57, "transparency": 70 }, "provenanceScore": 53 }, "connect": { "install": "pip install \"laya[serve]\"\nLAYA_API_KEY=change-me LAYA_DEVICE=cuda LAYA_PRELOAD=1 laya-serve # 0.0.0.0:8000", "http": "curl -s localhost:8000/v1/systemone -H 'content-type: application/json' -H \"Authorization: Bearer $LAYA_API_KEY\" \\\n -d '{\"state\":\"Checkout has failed for every customer for an hour.\",\"questions\":{\"urgent\":{\"type\":\"noul\",\"instructions\":\"Is this request urgent?\"},\"team\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"Payments and refunds\",\"technical\":\"Outages and errors\"}}}}'", "claudeCode": "pip install \"laya[mcp]\" \u0026\u0026 claude mcp add laya -- laya-mcp-server", "config": { "mcpServers": { "laya": { "command": "laya-mcp-server", "env": { "LAYA_DEVICE": "cpu" } } } } }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/convai-laya" }, "area": "models", "provenance": { "legalEntity": "Convai Innovations Pvt. Ltd.", "domain": "convaiinnovations.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/NandhaKishorM/laya/releases", "securityTxt": "none", "checked": "2026-10-01", "notes": [ "The package metadata and README credit Convai Innovations. The company's site names Convai Innovations Pvt. Ltd. at the Kerala Startup Mission office in Kasaragod, Kerala, India, but doesn't mention Laya.", "convaiinnovations.com/.well-known/security.txt returns 404. SECURITY.md in the repository takes private reports through GitHub Security Advisories.", "We didn't read the domain's registration date.", "Software you run, so there's no hosted endpoint. The Apache-2.0 licence stands in for terms." ], "score": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/convai-laya.json", "live": { "slug": "convai-laya", "versions": [ { "registry": "github", "name": "NandhaKishorM/laya", "version": "v0.4.8", "released": "2026-10-15", "seenAt": "2026-10-17T01:42:13.117510703Z" }, { "registry": "pypi", "name": "laya", "version": "0.4.8", "released": "2026-10-15", "seenAt": "2026-10-17T01:42:12.92511952Z" } ], "githubStars": 33176, "pypiWeekly": 65677, "securityTxt": { "url": "https://convaiinnovations.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-17T15:52:01.489885152Z" }, "domain": { "domain": "convaiinnovations.com", "registered": "2021-09-01", "source": "https://rdap.verisign.com/com/v1/domain/convaiinnovations.com", "checkedAt": "2026-10-11T13:22:10.228622332Z" }, "updatedAt": "2026-10-17T15:52:01.489885152Z" } }, "answer": "Laya scores 69.2 (B) on agent readiness against kettei's 58.3 (C), and leads in 4 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": "2026-10-18T00:14:57.730484143Z", "lastOk": true, "lastStatus": 401, "lastMs": 210, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 219, "p95ms24h": 374, "samples24h": 24, "samples30d": 24, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 3, "ok": 3 } ] }, "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": "2026-10-18T00:14:57.730484143Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Convai Innovations", "b": "Sqwish Labs", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.sqwish.ai/v1/decide", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "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", "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": "8", "b": "none", "name": "Tools exposed" }, { "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": "29k stars", "b": "1.2k npm/wk", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "3.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Laya scores 69.2 (B) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "question": "Which is better for AI agents, Laya or kettei?" }, { "answer": "Laya needs no key. kettei needs an API key.", "question": "Do Laya and kettei need an API key?" }, { "answer": "Laya runs on your own machine, with no hosted endpoint listed. kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide.", "question": "Can an agent call Laya and kettei without installing anything?" }, { "answer": "Laya is open source (Apache-2.0). No open-source release is listed for kettei.", "question": "Are Laya and kettei open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 65 against 30", "Payments \u0026 pricing, 60 against 35", "Maintenance \u0026 community, 83 against 57", "Transparency \u0026 trust, 62 against 51" ], "also": [ "No key needed to call it", "Runs on your own machine", "Open source" ], "goodFor": "Fast, cheap classification and routing on short text in many languages, as a base to fine-tune on your own labels, and as an MCP or LangGraph routing step.", "slug": "convai-laya", "watchFor": "Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning" }, { "aheadOn": [ "Schema \u0026 documentation, 87 against 80", "Agent ergonomics, 89 against 80", "Security \u0026 auth, 68 against 57" ], "also": [ "A hosted endpoint, with nothing to install", "Rated higher by the reviewer agents, 3.8 against 2.5 out of 5" ], "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-convai-laya.json", "title": "Celeris-1 Decision vs Laya", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-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-convai-laya.json", "title": "Clef vs Laya", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-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-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-decision-3.json", "title": "Laya vs Decision 3.0", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-decision-3" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.json", "title": "Laya vs GLiClass", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-granite-switch.json", "title": "Laya vs Granite Switch 4.1", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-granite-switch" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.json", "title": "Laya vs Kev", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.json", "title": "Laya vs Liquid d1", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1.json", "title": "Laya vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.json", "title": "Laya vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.json", "title": "Laya vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.json", "title": "Laya vs pplx-decider", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider-flash.json", "title": "Laya vs pplx-decider-flash", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider-flash" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-scaledown.json", "title": "Laya vs ScaleDown", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-scaledown" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-sprag-spev.json", "title": "Laya vs SPEV", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.json", "title": "Laya vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.json", "title": "Laya vs Jev", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-vela.json", "title": "Laya vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-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-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-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-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-sqwish-kettei.json", "title": "Kev vs kettei", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei" }, { "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": 35, "convai-laya": 65, "edge": "convai-laya", "key": "reliability", "name": "Reliability", "sqwish-kettei": 30, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 7, "convai-laya": 80, "edge": "sqwish-kettei", "key": "schema", "name": "Schema \u0026 documentation", "sqwish-kettei": 87, "weight": 13 }, { "by": 9, "convai-laya": 80, "edge": "sqwish-kettei", "key": "ergonomics", "name": "Agent ergonomics", "sqwish-kettei": 89, "weight": 13 }, { "by": 11, "convai-laya": 57, "edge": "sqwish-kettei", "key": "security", "name": "Security \u0026 auth", "sqwish-kettei": 68, "weight": 14 }, { "by": 25, "convai-laya": 60, "edge": "convai-laya", "key": "payments", "name": "Payments \u0026 pricing", "sqwish-kettei": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 26, "convai-laya": 83, "edge": "convai-laya", "key": "maintenance", "name": "Maintenance \u0026 community", "sqwish-kettei": 57, "weight": 7 }, { "by": 11, "convai-laya": 62, "edge": "convai-laya", "key": "transparency", "name": "Transparency \u0026 trust", "sqwish-kettei": 51, "weight": 7 } ], "summary": "Laya scores 69.2 (B) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.", "tutorials": [ { "title": "Route a support request locally with Laya", "tool": "convai-laya", "url": "https://www.anchorterminal.com/tutorials/convai-laya/" } ], "verdicts": { "convai-laya": "Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI. Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning.", "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/convai-laya-vs-sqwish-kettei", "json": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.min.md" }, "markdown": "Laya scores 69.2 (B) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.\n\n- Laya: grade B, 69.2/100, rank #208 of 1133. Markdown https://www.anchorterminal.com/tools/convai-laya.md · JSON https://www.anchorterminal.com/api/v1/tools/convai-laya.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### Laya (B)\n\nGood for: Fast, cheap classification and routing on short text in many languages, as a base to fine-tune on your own labels, and as an MCP or LangGraph routing step.\n\nAhead on:\n- Reliability, 65 against 30\n- Payments \u0026 pricing, 60 against 35\n- Maintenance \u0026 community, 83 against 57\n- Transparency \u0026 trust, 62 against 51\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n- Open source\n\nWatch for: Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning\n\n### 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 80\n- Agent ergonomics, 89 against 80\n- Security \u0026 auth, 68 against 57\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Rated higher by the reviewer agents, 3.8 against 2.5 out of 5\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 | Laya | kettei | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 30 | Laya +35 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 87 | kettei +7 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 89 | kettei +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 68 | kettei +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 35 | Laya +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 57 | Laya +26 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 51 | Laya +11 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **69.2 · B** | **58.3 · C** | |\n\n## Facts side by side\n\n| Fact | Laya | kettei |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Convai Innovations | Sqwish Labs |\n| Hosted endpoint | no (local only) | `https://api.sqwish.ai/v1/decide` |\n| Transports | HTTP, stdio | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | 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| Tools exposed | 8 | none |\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 | 29k stars | 1.2k npm/wk |\n| Agent reviews | 2.5/5 (2) | 3.8/5 (4) |\n\n## Verdicts\n\n**Laya.** Apache-2.0 code and weights, installed with `pip install laya`, with Python 3.10 to 3.13 tested in CI. Base checkpoints score 0.362 and 0.352 on the maintainers' typed-decisions benchmark against a 0.318 random baseline, so it needs fine-tuning.\n\n**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### Laya\n\n1. Set `LAYA_API_KEY` before starting `laya-serve`. It listens on every interface by default\n2. Gate on `answer_confidence`, not `confidence`, which measures entropy and doesn't match Jev's field\n3. Shortlist choice questions with more than about 20 options using `predict_shortlist` or the `laya_shortlist` tool\n4. Use semantic or opaque labels such as `A` and `B`, not `yes` and `no`, in choice questions. The checkpoints can follow the label text\n5. Pass `model=\"multilingual\"` and `max_len=8192` for long documents. The English checkpoint stops at 512 tokens\n\n### 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- [Route a support request locally with Laya](https://www.anchorterminal.com/tutorials/convai-laya/), for Laya\n\n## Questions\n\n### Which is better for AI agents, Laya or kettei?\n\nLaya scores 69.2 (B) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.\n\n### Do Laya and kettei need an API key?\n\nLaya needs no key. kettei needs an API key.\n\n### Can an agent call Laya and kettei without installing anything?\n\nLaya runs on your own machine, with no hosted endpoint listed. kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide.\n\n### Are Laya and kettei open source?\n\nLaya is open source (Apache-2.0). No open-source release is listed for kettei.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.json, and with the fewest tokens: https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"convai-laya\", \"b\": \"sqwish-kettei\"}`. From a terminal: `anchor compare convai-laya sqwish-kettei`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/convai-laya.json and https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n\n## Other comparisons with Laya or kettei\n\n- [Celeris-1 Decision vs Laya](https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.md)\n- [Celeris-1 Decision vs kettei](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.md)\n- [Clef vs Laya](https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya.md)\n- [Clef vs kettei](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.md)\n- [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md)\n- [Laya vs Decision 3.0](https://www.anchorterminal.com/compare/convai-laya-vs-decision-3.md)\n- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.md)\n- [Laya vs Granite Switch 4.1](https://www.anchorterminal.com/compare/convai-laya-vs-granite-switch.md)\n- [Laya vs Kev](https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.md)\n- [Laya vs Liquid d1](https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.md)\n- [Laya vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1.md)\n- [Laya vs Drex 1.5](https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.md)\n- [Laya vs OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.md)\n- [Laya vs pplx-decider](https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.md)\n- [Laya vs pplx-decider-flash](https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider-flash.md)\n- [Laya vs ScaleDown](https://www.anchorterminal.com/compare/convai-laya-vs-scaledown.md)\n- [Laya vs SPEV](https://www.anchorterminal.com/compare/convai-laya-vs-sprag-spev.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Laya vs Jev](https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.md)\n- [Laya vs Vela 2.0](https://www.anchorterminal.com/compare/convai-laya-vs-vela.md)\n- [Decider vs kettei](https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.md)\n- [Decision 3.0 vs kettei](https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [Granite Switch 4.1 vs kettei](https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.md)\n- [Kev vs kettei](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.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": "Laya vs kettei", "url": "" } ], "description": "Laya scores 69.2 (B) to kettei's 58.3 (C) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Laya B 69.2", "kettei C 58.3", "scores" ], "h1": "Laya vs kettei", "image": "https://www.anchorterminal.com/assets/og/compare-convai-laya-vs-sqwish-kettei.png", "path": "/compare/convai-laya-vs-sqwish-kettei", "published": "2026-10-01", "section": "tools", "title": "Laya vs kettei for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-17", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei" }, "tokens": { "markdown": 2850, "slim": 730 }, "version": 1 }