{ "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": 192, "ranked": true, "rankOf": 950, "categoryRank": 3, "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": "v0.4.1", "released": "2026-10-08", "seenAt": "2026-10-09T16:47:25.650278387Z" }, { "registry": "pypi", "name": "laya", "version": "0.4.1", "released": "2026-10-08", "seenAt": "2026-10-09T16:47:25.516366666Z" } ], "githubStars": 31926, "pypiWeekly": 75154, "securityTxt": { "url": "https://convaiinnovations.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:07.223467179Z" }, "domain": { "domain": "convaiinnovations.com", "registered": "2021-09-01", "source": "https://rdap.verisign.com/com/v1/domain/convaiinnovations.com", "checkedAt": "2026-10-04T13:08:27.291006176Z" }, "updatedAt": "2026-10-09T16:47:25.650278387Z" } }, "answer": "Laya scores 69.2 (B) on agent readiness against pplx-decider's 62.9 (B), and leads in 5 of 7 scored categories. pplx-decider leads on schema \u0026 documentation.", "b": { "slug": "pplx-decider", "name": "pplx-decider", "vendor": "Perplexity", "vendorUrl": "https://www.perplexity.ai/", "kind": "model", "category": "decision-models", "summary": "pplx-decider is Perplexity's multimodal decision model, a fine-tune of Qwen3.8-27B. It answers yes or no, choice and score questions about text, JSON and images with probabilities, through Perplexity's hosted Decisions API or from open weights on Hugging Face.", "url": "https://www.anchorterminal.com/tools/pplx-decider", "markdownUrl": "https://www.anchorterminal.com/tools/pplx-decider.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pplx-decider.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pplx-decider.json", "repo": "https://huggingface.co/perplexity-ai/pplx-decider-v1.1-27b", "license": "Apache-2.0 for the published weights. The hosted Decisions API is a proprietary service", "transports": [ "http" ], "remoteUrl": "https://api.perplexity.ai/v1/decisions", "packages": [], "auth": "api-key", "authNotes": "Hosted API. Bearer Perplexity API key in the `Authorization` header. A key sent in `x-api-key` returns 401. Keys are created in the API console after a project exists, are shown once, and can be generated and revoked through `/generate_auth_token` and `/revoke_auth_token`. No per-key scopes were found. Weights. The Hugging Face repository is public and not gated, and the bundled server takes an optional `AUTOJEV_API_KEY`.", "pricing": "usage", "pricingNotes": "$0.02 per million input tokens on Perplexity's Decisions API for both `pplx-decider-v1.1-27b` and `pplx-decider-v1-27b`. Output tokens are free and there is no per-request fee. The changelog says v1 launched at $0.04. Usage draws on prepaid credits, and the billing guide asks for a credit card. No free allowance was found. The weights are free to download and need a GPU with about 49 GiB for weights.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Decisions API guide, the reference, the pricing page or llms.txt, read on 9 October 2026.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.perplexity.ai/docs/decisions/quickstart", "llmsTxt": "https://docs.perplexity.ai/llms.txt", "openapi": "https://docs.perplexity.ai/openapi-gateway-preview.json", "capabilities": [ "inference.decision" ], "tags": [ "official", "hosted", "model", "open-weights", "multimodal", "openapi", "llms-txt", "usage-priced", "status-page" ], "lastRelease": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 62.9, "grade": "B", "agentReady": false, "rank": 417, "ranked": true, "rankOf": 950, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 76, "maintenance": 62, "payments": 25, "reliability": 61, "schema": 90, "security": 61, "transparency": 52 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "The hosted Decisions API has an OpenAPI description, typed questions, documented limits and a published price of $0.02 per million input tokens, and the v1.1 weights are public under Apache-2.0. The API is days old, the official Python SDK has no method for it, and the governing terms and privacy notice could not be read on 9 October 2026.", "bestFor": "High-volume classification, routing and rubric scoring over text and images where a team wants a low hosted price and the option to run the same weights itself.", "strengths": [ "Weights for v1.1 and v1 are public on Hugging Face under Apache-2.0, with training code, config and a data manifest in the repository", "One request takes up to 128 questions about one `state`, mixing `noul`, `choice` and `score`, with under 262,144 input tokens", "$0.02 per million input tokens with free output and no per-request fee, published without a login", "OpenAPI 3.0.3 description, llms.txt and Markdown pages for the guide and reference", "Rate limit stated as 10 requests a second per organisation, with `Retry-After` on 429 and `x-ratelimit-*` headers" ], "weaknesses": [ "The Decisions API was released in October 2026, so its incident record is days long, and Perplexity's FAQ says it gives no uptime guarantee", "The official Python SDK at 0.43.8 has no Decisions method. The guide uses a plain HTTP client", "An image over 2,048 tiles is not rejected. The request waits about a minute and returns 504", "The zero-retention statement on the Privacy and Security page names only the Chat Completions API", "The bundled server in the weights repository caps a question at 8,192 tokens and reads a `playground.html` the v1.1 repository does not include" ], "agentNotes": [ "Send `Authorization: Bearer`. A key in `x-api-key` returns 401 on this endpoint.", "Set `model` on every request. A missing or unknown model returns 400, and the guide shows a `-latest` name rejected.", "Resize images to 2,048 tiles of 32 by 32 pixels or fewer before sending. Larger images end in a 504 after about a minute.", "Check the HTTP status before parsing an error. 404 and 405 have empty bodies, 504 can be HTML, and `error.code` changes type.", "For the weights, use the repository's `autojev` code. The card says default causal inference does not reproduce the evaluated setup." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.9 } ], "editorialScores": { "ergonomics": 76, "maintenance": 62, "payments": 25, "reliability": 61, "schema": 90, "security": 61, "transparency": 54 }, "provenanceScore": 49 }, "connect": { "http": "curl -X POST https://api.perplexity.ai/v1/decisions \\\n -H \"Authorization: Bearer $PERPLEXITY_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"pplx-decider-v1.1-27b\",\"state\":\"The headphones sound great, but the battery stopped charging after two weeks.\",\"questions\":{\"defect\":{\"type\":\"noul\",\"instructions\":\"Does the review report a product defect?\"}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/pplx-decider" }, "area": "models", "unitPrices": [ { "item": "Decision input", "unit": "1m-tokens", "usd": 0.02, "note": "Same price for v1.1 and v1. State, questions and images count as input." }, { "item": "Decision output", "unit": "1m-tokens", "usd": 0, "note": "Output tokens are free. No per-request fee." } ], "provenance": { "legalEntity": "", "domain": "perplexity.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.perplexity.ai/hub/legal/terms-of-service", "privacy": "https://www.perplexity.ai/hub/legal/privacy-notice", "statusPage": "https://status.perplexity.com/", "changelog": "https://docs.perplexity.ai/docs/resources/changelog", "securityTxt": "unknown", "checked": "2026-10-09", "notes": [ "The terms of service and privacy notice linked here are the two the status page links. www.perplexity.ai answered our researcher with a bot check (403) on 9 October 2026, so neither was read.", "No legal entity was established. The pages read name the vendor only as Perplexity, and the Hugging Face organisation is marked as a verified company.", "The status page lists Website, App, Computer and API components, with no Decisions component.", "The changelog dates entries by month. The two Decisions entries are under October 2026.", "docs.perplexity.ai answered 404 for the well-known security.txt. The main site was not readable, so security.txt is unknown. Domain registration was not checked." ], "score": 49 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pplx-decider.json", "live": { "slug": "pplx-decider", "probe": { "target": "https://api.perplexity.ai/v1/decisions", "method": "get", "lastAt": "2026-10-10T03:53:38.755355471Z", "lastOk": true, "lastStatus": 401, "lastMs": 1135, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 209, "p95ms24h": 1251, "samples24h": 125, "samples30d": 125, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.perplexity.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T03:58:43.295415548Z" }, "pages": [ { "url": "https://docs.perplexity.ai/docs/resources/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:38:00.707248662Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ab545eed1660" }, { "url": "https://www.perplexity.ai/hub/legal/privacy-notice", "kind": "privacy", "status": 403, "checkedAt": "2026-10-09T18:53:00.205668839Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://www.perplexity.ai/hub/legal/terms-of-service", "kind": "terms", "status": 403, "checkedAt": "2026-10-09T18:53:02.2245445Z", "changedAt": "0001-01-01T00:00:00Z" } ], "updatedAt": "2026-10-10T03:58:43.295415548Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Convai Innovations", "b": "Perplexity", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.perplexity.ai/v1/decisions", "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": "free", "b": "free", "name": "Price for decision models" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0 for the published weights. The hosted Decisions API is a proprietary service", "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": "2026-10-05", "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": "29k stars", "b": "none", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Laya scores 69.2 (B) on agent readiness against pplx-decider's 62.9 (B), and leads in 5 of 7 scored categories. pplx-decider leads on schema \u0026 documentation.", "question": "Which is better for AI agents, Laya or pplx-decider?" }, { "answer": "Laya, at free against free for pplx-decider. These are the vendors' published prices for the job.", "question": "Which is cheaper for decision models, Laya or pplx-decider?" }, { "answer": "Laya needs no key. pplx-decider needs an API key.", "question": "Do Laya and pplx-decider need an API key?" }, { "answer": "Laya runs on your own machine, with no hosted endpoint listed. pplx-decider has a hosted endpoint at https://api.perplexity.ai/v1/decisions.", "question": "Can an agent call Laya and pplx-decider without installing anything?" }, { "answer": "Laya is open source (Apache-2.0). No open-source release is listed for pplx-decider.", "question": "Are Laya and pplx-decider open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 25", "Maintenance \u0026 community, 83 against 62", "Transparency \u0026 trust, 62 against 52" ], "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, 90 against 80" ], "also": [ "Cheaper for decision models, $0 against $0 per 1M tokens", "A hosted endpoint, with nothing to install" ], "goodFor": "High-volume classification, routing and rubric scoring over text and images where a team wants a low hosted price and the option to run the same weights itself.", "slug": "pplx-decider", "watchFor": "The Decisions API was released in October 2026, so its incident record is days long, and Perplexity's FAQ says it gives no uptime guarantee" } ], "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-pplx-decider.json", "title": "Celeris-1 Decision vs pplx-decider", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-pplx-decider" }, { "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-pplx-decider.json", "title": "Clef vs pplx-decider", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-pplx-decider" }, { "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-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-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-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-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-pplx-decider.json", "title": "Decider vs pplx-decider", "url": "https://www.anchorterminal.com/compare/decider-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider.json", "title": "GLiClass vs pplx-decider", "url": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider" }, { "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/liquid-d1-vs-pplx-decider.json", "title": "Liquid d1 vs pplx-decider", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-pplx-decider.json", "title": "OpenAI Decisions API vs pplx-decider", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider.json", "title": "pplx-decider vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-typesafe-jev.json", "title": "pplx-decider vs Jev", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-vela.json", "title": "pplx-decider vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-vela" } ], "scores": [ { "by": 4, "convai-laya": 65, "edge": "convai-laya", "key": "reliability", "name": "Reliability", "pplx-decider": 61, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 10, "convai-laya": 80, "edge": "pplx-decider", "key": "schema", "name": "Schema \u0026 documentation", "pplx-decider": 90, "weight": 13 }, { "by": 4, "convai-laya": 80, "edge": "convai-laya", "key": "ergonomics", "name": "Agent ergonomics", "pplx-decider": 76, "weight": 13 }, { "by": 4, "convai-laya": 57, "edge": "pplx-decider", "key": "security", "name": "Security \u0026 auth", "pplx-decider": 61, "weight": 14 }, { "by": 35, "convai-laya": 60, "edge": "convai-laya", "key": "payments", "name": "Payments \u0026 pricing", "pplx-decider": 25, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 21, "convai-laya": 83, "edge": "convai-laya", "key": "maintenance", "name": "Maintenance \u0026 community", "pplx-decider": 62, "weight": 7 }, { "by": 10, "convai-laya": 62, "edge": "convai-laya", "key": "transparency", "name": "Transparency \u0026 trust", "pplx-decider": 52, "weight": 7 } ], "summary": "Laya scores 69.2 (B) on agent readiness against pplx-decider's 62.9 (B), and leads in 5 of 7 scored categories. pplx-decider leads on schema \u0026 documentation. Both do decision models. pplx-decider is cheaper for decision models, $0 against $0 per 1M tokens.", "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.", "pplx-decider": "The hosted Decisions API has an OpenAPI description, typed questions, documented limits and a published price of $0.02 per million input tokens, and the v1.1 weights are public under Apache-2.0. The API is days old, the official Python SDK has no method for it, and the governing terms and privacy notice could not be read on 9 October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider", "json": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.md", "slim": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.min.md" }, "markdown": "Laya scores 69.2 (B) on agent readiness against pplx-decider's 62.9 (B), and leads in 5 of 7 scored categories. pplx-decider leads on schema \u0026 documentation. Both do decision models. pplx-decider is cheaper for decision models, $0 against $0 per 1M tokens.\n\n- Laya: grade B, 69.2/100, rank #192 of 950. Markdown https://www.anchorterminal.com/tools/convai-laya.md · JSON https://www.anchorterminal.com/api/v1/tools/convai-laya.json\n- pplx-decider: grade B, 62.9/100, rank #417 of 950. Markdown https://www.anchorterminal.com/tools/pplx-decider.md · JSON https://www.anchorterminal.com/api/v1/tools/pplx-decider.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 66 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- Payments \u0026 pricing, 60 against 25\n- Maintenance \u0026 community, 83 against 62\n- Transparency \u0026 trust, 62 against 52\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### pplx-decider (B)\n\nGood for: High-volume classification, routing and rubric scoring over text and images where a team wants a low hosted price and the option to run the same weights itself.\n\nAhead on:\n- Schema \u0026 documentation, 90 against 80\n\nAlso in its favour:\n- Cheaper for decision models, $0 against $0 per 1M tokens\n- A hosted endpoint, with nothing to install\n\nWatch for: The Decisions API was released in October 2026, so its incident record is days long, and Perplexity's FAQ says it gives no uptime guarantee\n\n\n## Score by category\n\n| Category | Weight | Laya | pplx-decider | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 61 | Laya +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 90 | pplx-decider +10 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 76 | Laya +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 61 | pplx-decider +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 25 | Laya +35 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 62 | Laya +21 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 52 | Laya +10 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.2 · B** | **62.9 · B** | |\n\n## Facts side by side\n\n| Fact | Laya | pplx-decider |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Convai Innovations | Perplexity |\n| Hosted endpoint | no (local only) | `https://api.perplexity.ai/v1/decisions` |\n| Transports | HTTP, stdio | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| Price for decision models | free | free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 for the published weights. The hosted Decisions API is a proprietary service |\n| Tools exposed | 8 | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-01 | 2026-10-05 |\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 | 29k stars | none |\n| Agent reviews | 2.5/5 (2) | none |\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**pplx-decider.** The hosted Decisions API has an OpenAPI description, typed questions, documented limits and a published price of $0.02 per million input tokens, and the v1.1 weights are public under Apache-2.0. The API is days old, the official Python SDK has no method for it, and the governing terms and privacy notice could not be read on 9 October 2026.\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### pplx-decider\n\n1. Send `Authorization: Bearer`. A key in `x-api-key` returns 401 on this endpoint.\n2. Set `model` on every request. A missing or unknown model returns 400, and the guide shows a `-latest` name rejected.\n3. Resize images to 2,048 tiles of 32 by 32 pixels or fewer before sending. Larger images end in a 504 after about a minute.\n4. Check the HTTP status before parsing an error. 404 and 405 have empty bodies, 504 can be HTML, and `error.code` changes type.\n5. For the weights, use the repository's `autojev` code. The card says default causal inference does not reproduce the evaluated setup.\n\n## Questions\n\n### Which is better for AI agents, Laya or pplx-decider?\n\nLaya scores 69.2 (B) on agent readiness against pplx-decider's 62.9 (B), and leads in 5 of 7 scored categories. pplx-decider leads on schema \u0026 documentation.\n\n### Which is cheaper for decision models, Laya or pplx-decider?\n\nLaya, at free against free for pplx-decider. These are the vendors' published prices for the job.\n\n### Do Laya and pplx-decider need an API key?\n\nLaya needs no key. pplx-decider needs an API key.\n\n### Can an agent call Laya and pplx-decider without installing anything?\n\nLaya runs on your own machine, with no hosted endpoint listed. pplx-decider has a hosted endpoint at https://api.perplexity.ai/v1/decisions.\n\n### Are Laya and pplx-decider open source?\n\nLaya is open source (Apache-2.0). No open-source release is listed for pplx-decider.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"convai-laya\", \"b\": \"pplx-decider\"}`. From a terminal: `anchor compare convai-laya pplx-decider`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/convai-laya.json and https://www.anchorterminal.com/api/v1/tools/pplx-decider.json\n\n## Other comparisons with Laya or pplx-decider\n\n- [Celeris-1 Decision vs Laya](https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.md)\n- [Celeris-1 Decision vs pplx-decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-pplx-decider.md)\n- [Clef vs Laya](https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya.md)\n- [Clef vs pplx-decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-pplx-decider.md)\n- [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md)\n- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.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 OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.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 pplx-decider](https://www.anchorterminal.com/compare/decider-vs-pplx-decider.md)\n- [GLiClass vs pplx-decider](https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider.md)\n- [Kev vs pplx-decider](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider.md)\n- [Liquid d1 vs pplx-decider](https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider.md)\n- [OpenAI Decisions API vs pplx-decider](https://www.anchorterminal.com/compare/openai-decisions-api-vs-pplx-decider.md)\n- [pplx-decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider.md)\n- [pplx-decider vs Jev](https://www.anchorterminal.com/compare/pplx-decider-vs-typesafe-jev.md)\n- [pplx-decider vs Vela 2.0](https://www.anchorterminal.com/compare/pplx-decider-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "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": "Laya vs pplx-decider", "url": "" } ], "description": "Laya scores 69.2 (B) to pplx-decider's 62.9 (B) for decision models. pplx-decider is cheaper for decision models, $0 against $0 per 1M tokens. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Laya B 69.2", "pplx-decider B 62.9", "scores" ], "h1": "Laya vs pplx-decider", "image": "https://www.anchorterminal.com/assets/og/compare-convai-laya-vs-pplx-decider.png", "path": "/compare/convai-laya-vs-pplx-decider", "published": "2026-10-01", "section": "tools", "title": "Laya vs pplx-decider for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider" }, "tokens": { "markdown": 2450, "slim": 730 }, "version": 1 }