{
  "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": 954,
        "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": "v0.4.1",
            "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": "Drex 1.5 and Laya score within a point of each other on agent readiness, 69.7 (B) and 69.2 (B). Laya leads on payments \u0026 pricing and maintenance \u0026 community.",
    "b": {
      "slug": "nace-drex",
      "name": "Drex 1.5",
      "vendor": "Nace AI, Inc. (Nace.AI)",
      "vendorUrl": "https://www.nace.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "Drex 1.5 is Nace.AI's decision model. It returns a probability for each option in typed yes or no, choice and score questions. Hosted at console.nace.ai, with open weights under the Nace AI Open RAIL-M licence.",
      "url": "https://www.anchorterminal.com/tools/nace-drex",
      "markdownUrl": "https://www.anchorterminal.com/tools/nace-drex.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nace-drex.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nace-drex.json",
      "repo": "https://huggingface.co/nace-ai/drex-v1.5",
      "license": "Hosted API under the Nace AI Terms of Service, last updated 5 May 2026. Weights under the Nace AI Open RAIL-M licence (modified, version 1.0, October 2026), which is not an open-source licence. Businesses above $1 million in revenue or funding need a separate commercial licence, and competing products are excluded. The bundled code/kev package, derived from Jared Palmer's Kev (https://github.com/jaredpalmer/kev), and the GitHub repository are Apache-2.0, and the agent skill is MIT.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://console.nace.ai/v1/systemone",
      "packages": [
        {
          "registry": "pypi",
          "name": "nace-sdk"
        },
        {
          "registry": "npm",
          "name": "nace-sdk"
        },
        {
          "registry": "pypi",
          "name": "nace-mcp"
        }
      ],
      "auth": "api-key",
      "authNotes": "A key starting nace_sk_, created in the Console dashboard after an emailed-code sign-in and sent as a Bearer header. The key is shown once. An account can hold three active keys, which share its credit and rate limits. Keys can be revoked and rotated, and no scopes are documented. An agent cannot create its own account, because sign-in needs an emailed code.",
      "pricing": "freemium",
      "pricingNotes": "drex-v1.5 costs $0.05 per million input tokens, and output tokens are not billed. The price is on the public pricing reference without a login. New accounts get $25 of signup credit, which expires three months after sign-up, and a $5 monthly credit. Each mailbox gets the signup credit once, and disposable domains get none. Without a saved card, requests stop at zero credit with 402 insufficient_credit. A saved card turns on pay-as-you-go, billed every 14 days.",
      "priceSummary": "Freemium",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the pricing reference, the API reference or the OpenAPI document (checked 10 October 2026).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 318,
        "pypiWeekly": 156,
        "asOf": "2026-10-10"
      },
      "docsUrl": "https://console.nace.ai/docs/drex",
      "llmsTxt": "https://drex.nace.ai/llms.txt",
      "openapi": "https://console.nace.ai/openapi.json",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "mcp",
        "free-tier",
        "usage-priced",
        "status-page"
      ],
      "lastRelease": "2026-09-28",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.7,
        "grade": "B",
        "agentReady": false,
        "rank": 172,
        "ranked": true,
        "rankOf": 954,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 40,
          "reliability": 80,
          "schema": 88,
          "security": 65,
          "transparency": 63
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-10"
        },
        "negative": -2,
        "negativeNotes": [
          "10 October 2026, read against the public board generated 28 September 2026. The site at www.nace.ai/drex states a Decision Index 0.2.1 score of 58.28 and says Drex 1.5 leads all 71 entries under 10B parameters. The 0.2.1 board has 70 entries, none of them Drex, and its top score is Surogate Rune 26B-A4B v3 at 57.44 (https://huggingface.co/spaces/multimodalart/jev-decision-index/resolve/main/data/index-v0.2.1.json). The Hugging Face card does say the Drex figure is Nace's own run, but the site does not. Deducted 2 as a misleading claim."
        ],
        "verdict": "The hosted endpoint has a public OpenAPI document, published limits and pinned model versions, at $0.05 per million input tokens with no output charge. The #1 under 10B claim rests on Nace's own run, since Drex is absent from both public boards. Weights carry Open RAIL-M, which requires a commercial licence above $1 million in revenue or funding.",
        "bestFor": "Routing, triage and yes or no gates inside an agent, where the caller supplies the options and acts on the probabilities. Suited to hosted use at a low per-token price, or to open weights where the licence fits.",
        "strengths": [
          "Public OpenAPI 3.1 document for POST /v1/systemone, plus llms.txt. Request limits are 512 questions, a 1,048,576-byte body and a 131,072-token state.",
          "Price per input token on the pricing reference, readable without a login. drex-v1.5 costs $0.05 per million, and output tokens are not billed.",
          "Rate limits with numbers for the free tier (120 requests a minute) and the paid tier (600), and Retry-After on 429 and 529 responses.",
          "Pinned model ids (drex-v1.0, drex-v1.5) that stay on their version, with a dated record of the drex-latest alias moves.",
          "Official Python and TypeScript SDKs (nace-sdk), an MCP server (nace-mcp) with 21 tools, and the weights on Hugging Face."
        ],
        "weaknesses": [
          "The rank 1 claim comes from Nace's own run on Decision Index 0.3.1, and Drex is not on the public board for 0.3 or 0.2.1.",
          "The weights are under Open RAIL-M, which restricts commercial use above $1 million in revenue or funding and excludes competing products.",
          "The data statements conflict. The developer page says no training on your data, while the privacy notice allows input and output to improve the Services.",
          "No SLA, changelog or readable incident list for the model. Drex has been public for 12 days.",
          "Sign-up needs an emailed code and a browser step. The $25 signup credit is granted once per mailbox and expires after three months."
        ],
        "agentNotes": [
          "Call https://console.nace.ai/v1/systemone with Authorization: Bearer nace_sk_..., and pin model drex-v1.5 rather than drex-latest in production.",
          "Stop on 402 insufficient_credit or 402 payment_required until credit is topped up or the unpaid invoice is paid.",
          "Retry 429 and 529 after retry-after-ms. On a 422 for an unknown model, use one of the ids the error message lists.",
          "Keep state below 131,072 tokens and the body below 1,048,576 bytes, and send at most 512 questions per request.",
          "Keep the key on a server. A key in browser code is exposed, and the /v1 routes send no Access-Control-Allow-Origin header.",
          "Check usage.input_tokens and the usage CSV after retries, since /v1/systemone documents no idempotency key."
        ],
        "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": 69.7
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 40,
          "reliability": 80,
          "schema": 88,
          "security": 65,
          "transparency": 50
        },
        "provenanceScore": 75
      },
      "connect": {
        "install": "pip install nace-sdk   # or: npm install nace-sdk",
        "http": "curl https://console.nace.ai/v1/systemone \\\n  -H \"Authorization: Bearer $NACE_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"drex-v1.5\",\"state\":\"I was charged twice for order A-104.\",\"questions\":{\"refund\":{\"type\":\"noul\",\"instructions\":\"Does the customer ask for a refund?\"}}}'",
        "claudeCode": "uvx nace-mcp login\nclaude mcp add nace -- uvx nace-mcp"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/nace-drex"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Drex 1.5 input",
          "unit": "1m-tokens",
          "usd": 0.05,
          "note": "Per input token, as reported in usage.input_tokens. The pinned drex-v1.0 costs $0.04."
        },
        {
          "item": "Drex 1.5 output",
          "unit": "1m-tokens",
          "usd": 0,
          "note": "Reported in usage.output_tokens and not billed."
        }
      ],
      "provenance": {
        "legalEntity": "Nace AI, Inc.",
        "domain": "nace.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://www.nace.ai/policies/terms-of-service",
        "privacy": "https://www.nace.ai/policies/privacy-policy",
        "statusPage": "https://status.nace.ai/",
        "changelog": "",
        "securityTxt": "valid",
        "checked": "2026-10-10",
        "notes": [
          "The Terms were last updated 5 May 2026, before Drex was released, and no Drex-specific service terms were found.",
          "The security.txt expires on 9 October 2027. The console changelog URL returned 500 and nace.ai/changelog returned 404.",
          "The Hugging Face cardData field marks the repository as private, while the Hub API returns it as public and the files download without an account."
        ],
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/nace-drex.json",
      "live": {
        "slug": "nace-drex",
        "probe": {
          "target": "https://console.nace.ai/v1/systemone",
          "method": "get",
          "lastAt": "2026-10-10T13:02:21.179574177Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 294,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 208,
          "p95ms24h": 294,
          "samples24h": 21,
          "samples30d": 21,
          "days": [
            {
              "date": "2026-10-10",
              "probes": 21,
              "ok": 21
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.nace.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-10T11:53:13.006193955Z"
        },
        "updatedAt": "2026-10-10T13:02:21.179574177Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Convai Innovations",
        "b": "Nace AI, Inc. (Nace.AI)",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://console.nace.ai/v1/systemone",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, stdio",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Hosted API under the Nace AI Terms of Service, last updated 5 May 2026. Weights under the Nace AI Open RAIL-M licence (modified, version 1.0, October 2026), which is not an open-source licence. Businesses above $1 million in revenue or funding need a separate commercial licence, and competing products are excluded. The bundled code/kev package, derived from Jared Palmer's Kev (https://github.com/jaredpalmer/kev), and the GitHub repository are Apache-2.0, and the agent skill is MIT.",
        "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": "2026-09-28",
        "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": "318 npm/wk, 156 PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "2.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Drex 1.5 and Laya score within a point of each other on agent readiness, 69.7 (B) and 69.2 (B). Laya leads on payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, Laya or Drex 1.5?"
      },
      {
        "answer": "Laya needs no key. Drex 1.5 needs an API key.",
        "question": "Do Laya and Drex 1.5 need an API key?"
      },
      {
        "answer": "Laya runs on your own machine, with no hosted endpoint listed. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone.",
        "question": "Can an agent call Laya and Drex 1.5 without installing anything?"
      },
      {
        "answer": "Laya is open source (Apache-2.0). No open-source release is listed for Drex 1.5.",
        "question": "Are Laya and Drex 1.5 open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 40",
          "Maintenance \u0026 community, 83 against 65"
        ],
        "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": [
          "Reliability, 80 against 65",
          "Schema \u0026 documentation, 88 against 80",
          "Agent ergonomics, 85 against 80",
          "Security \u0026 auth, 65 against 57"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Routing, triage and yes or no gates inside an agent, where the caller supplies the options and acts on the probabilities. Suited to hosted use at a low per-token price, or to open weights where the licence fits.",
        "slug": "nace-drex",
        "watchFor": "The rank 1 claim comes from Nace's own run on Decision Index 0.3.1, and Drex is not on the public board for 0.3 or 0.2.1."
      }
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        "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-nace-drex.json",
        "title": "Celeris-1 Decision vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-nace-drex"
      },
      {
        "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-nace-drex.json",
        "title": "Clef vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex"
      },
      {
        "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"
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      {
        "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-openai-decisions-api.json",
        "title": "Laya vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api"
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        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider.json",
        "title": "Laya vs pplx-decider",
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      {
        "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"
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        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.json",
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        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev"
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      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-nace-drex.json",
        "title": "Decider vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/decider-vs-nace-drex"
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      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.json",
        "title": "GLiClass vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-nace-drex"
      },
      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.json",
        "title": "Liquid d1 vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.json",
        "title": "Microsoft-Decision-1 vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-openai-decisions-api.json",
        "title": "Drex 1.5 vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider.json",
        "title": "Drex 1.5 vs pplx-decider",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.json",
        "title": "Drex 1.5 vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-typesafe-jev.json",
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        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-typesafe-jev"
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      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-vela.json",
        "title": "Drex 1.5 vs Vela 2.0",
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      {
        "by": 15,
        "convai-laya": 65,
        "edge": "nace-drex",
        "key": "reliability",
        "nace-drex": 80,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "convai-laya": 80,
        "edge": "nace-drex",
        "key": "schema",
        "nace-drex": 88,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 5,
        "convai-laya": 80,
        "edge": "nace-drex",
        "key": "ergonomics",
        "nace-drex": 85,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 8,
        "convai-laya": 57,
        "edge": "nace-drex",
        "key": "security",
        "nace-drex": 65,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 20,
        "convai-laya": 60,
        "edge": "convai-laya",
        "key": "payments",
        "nace-drex": 40,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 18,
        "convai-laya": 83,
        "edge": "convai-laya",
        "key": "maintenance",
        "nace-drex": 65,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 1,
        "convai-laya": 62,
        "edge": "nace-drex",
        "key": "transparency",
        "nace-drex": 63,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Drex 1.5 and Laya score within a point of each other on agent readiness, 69.7 (B) and 69.2 (B). Laya leads on payments \u0026 pricing and maintenance \u0026 community. Both do decision models.",
    "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.",
      "nace-drex": "The hosted endpoint has a public OpenAPI document, published limits and pinned model versions, at $0.05 per million input tokens with no output charge. The #1 under 10B claim rests on Nace's own run, since Drex is absent from both public boards. Weights carry Open RAIL-M, which requires a commercial licence above $1 million in revenue or funding."
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  "markdown": "Drex 1.5 and Laya score within a point of each other on agent readiness, 69.7 (B) and 69.2 (B). Laya leads on payments \u0026 pricing and maintenance \u0026 community. Both do decision models.\n\n- Laya: grade B, 69.2/100, rank #192 of 954. Markdown https://www.anchorterminal.com/tools/convai-laya.md · JSON https://www.anchorterminal.com/api/v1/tools/convai-laya.json\n- Drex 1.5: grade B, 69.7/100, rank #172 of 954. Markdown https://www.anchorterminal.com/tools/nace-drex.md · JSON https://www.anchorterminal.com/api/v1/tools/nace-drex.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 91 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 40\n- Maintenance \u0026 community, 83 against 65\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### Drex 1.5 (B)\n\nGood for: Routing, triage and yes or no gates inside an agent, where the caller supplies the options and acts on the probabilities. Suited to hosted use at a low per-token price, or to open weights where the licence fits.\n\nAhead on:\n- Reliability, 80 against 65\n- Schema \u0026 documentation, 88 against 80\n- Agent ergonomics, 85 against 80\n- Security \u0026 auth, 65 against 57\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: The rank 1 claim comes from Nace's own run on Decision Index 0.3.1, and Drex is not on the public board for 0.3 or 0.2.1.\n\n\n## Score by category\n\n| Category | Weight | Laya | Drex 1.5 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 80 | Drex 1.5 +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 88 | Drex 1.5 +8 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 85 | Drex 1.5 +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 65 | Drex 1.5 +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | Laya +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 65 | Laya +18 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 63 | Drex 1.5 +1 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **69.2 · B** | **69.7 · B** | |\n\n## Facts side by side\n\n| Fact | Laya | Drex 1.5 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Convai Innovations | Nace AI, Inc. (Nace.AI) |\n| Hosted endpoint | no (local only) | `https://console.nace.ai/v1/systemone` |\n| Transports | HTTP, stdio | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | Hosted API under the Nace AI Terms of Service, last updated 5 May 2026. Weights under the Nace AI Open RAIL-M licence (modified, version 1.0, October 2026), which is not an open-source licence. Businesses above $1 million in revenue or funding need a separate commercial licence, and competing products are excluded. The bundled code/kev package, derived from Jared Palmer's Kev (https://github.com/jaredpalmer/kev), and the GitHub repository are Apache-2.0, and the agent skill is MIT. |\n| Tools exposed | 8 | none |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-01 | 2026-09-28 |\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 | 318 npm/wk, 156 PyPI/wk |\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**Drex 1.5.** The hosted endpoint has a public OpenAPI document, published limits and pinned model versions, at $0.05 per million input tokens with no output charge. The #1 under 10B claim rests on Nace's own run, since Drex is absent from both public boards. Weights carry Open RAIL-M, which requires a commercial licence above $1 million in revenue or funding.\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### Drex 1.5\n\n1. Call https://console.nace.ai/v1/systemone with Authorization: Bearer nace_sk_..., and pin model drex-v1.5 rather than drex-latest in production.\n2. Stop on 402 insufficient_credit or 402 payment_required until credit is topped up or the unpaid invoice is paid.\n3. Retry 429 and 529 after retry-after-ms. On a 422 for an unknown model, use one of the ids the error message lists.\n4. Keep state below 131,072 tokens and the body below 1,048,576 bytes, and send at most 512 questions per request.\n5. Keep the key on a server. A key in browser code is exposed, and the /v1 routes send no Access-Control-Allow-Origin header.\n6. Check usage.input_tokens and the usage CSV after retries, since /v1/systemone documents no idempotency key.\n\n## Questions\n\n### Which is better for AI agents, Laya or Drex 1.5?\n\nDrex 1.5 and Laya score within a point of each other on agent readiness, 69.7 (B) and 69.2 (B). Laya leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Laya and Drex 1.5 need an API key?\n\nLaya needs no key. Drex 1.5 needs an API key.\n\n### Can an agent call Laya and Drex 1.5 without installing anything?\n\nLaya runs on your own machine, with no hosted endpoint listed. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone.\n\n### Are Laya and Drex 1.5 open source?\n\nLaya is open source (Apache-2.0). No open-source release is listed for Drex 1.5.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.json, and with the fewest tokens: https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"convai-laya\", \"b\": \"nace-drex\"}`. From a terminal: `anchor compare convai-laya nace-drex`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/convai-laya.json and https://www.anchorterminal.com/api/v1/tools/nace-drex.json\n\n## Other comparisons with Laya or Drex 1.5\n\n- [Celeris-1 Decision vs Laya](https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.md)\n- [Celeris-1 Decision vs Drex 1.5](https://www.anchorterminal.com/compare/celeris-1-decision-vs-nace-drex.md)\n- [Clef vs Laya](https://www.anchorterminal.com/compare/cloudflare-clef-vs-convai-laya.md)\n- [Clef vs Drex 1.5](https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex.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 Microsoft-Decision-1](https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1.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 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 Drex 1.5](https://www.anchorterminal.com/compare/decider-vs-nace-drex.md)\n- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)\n- [Kev vs Drex 1.5](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex.md)\n- [Liquid d1 vs Drex 1.5](https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.md)\n- [Microsoft-Decision-1 vs Drex 1.5](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.md)\n- [Drex 1.5 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/nace-drex-vs-openai-decisions-api.md)\n- [Drex 1.5 vs pplx-decider](https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider.md)\n- [Drex 1.5 vs Strands Decider 2B](https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.md)\n- [Drex 1.5 vs Jev](https://www.anchorterminal.com/compare/nace-drex-vs-typesafe-jev.md)\n- [Drex 1.5 vs Vela 2.0](https://www.anchorterminal.com/compare/nace-drex-vs-vela.md)\n",
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