{
  "data": {
    "a": {
      "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"
      }
    },
    "answer": "Drex 1.5 scores 69.7 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing and maintenance \u0026 community.",
    "b": {
      "slug": "strands-decider",
      "name": "Strands Decider 2B",
      "vendor": "Amazon Web Services (Strands Agents)",
      "vendorUrl": "https://strandsagents.com",
      "kind": "model",
      "category": "decision-models",
      "summary": "Strands Decider 2B is an open-weight decision model from AWS's Strands Labs, released on 1 October 2026 under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from a Python package.",
      "url": "https://www.anchorterminal.com/tools/strands-decider",
      "markdownUrl": "https://www.anchorterminal.com/tools/strands-decider.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/strands-decider.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/strands-decider.json",
      "repo": "https://github.com/strands-labs/strands-decider",
      "license": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "strands-decider"
        }
      ],
      "auth": "none",
      "authNotes": "No account. `strands-decider serve` binds to 127.0.0.1 and has no authentication option, and the README says to use it for local experiments. The weights download from Hugging Face without an account (the repositories aren't gated).",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy. You pay for your own hardware. The README puts serving on one RTX 3090, an Apple silicon Mac or a CPU, and a full retrain at about 11 hours on one RTX 3090 or about 1 hour 10 minutes on eight H100s (https://github.com/strands-labs/strands-decider). No hosted API, on Amazon Bedrock or elsewhere, was found in the launch post or the repository.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Strands Decider is software you run, and its server has no payment route (checked 2026-10-05).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-05"
      },
      "docsUrl": "https://github.com/strands-labs/strands-decider#readme",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.3,
        "grade": "C",
        "agentReady": false,
        "rank": 472,
        "ranked": true,
        "rankOf": 954,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 79,
          "payments": 60,
          "reliability": 50,
          "schema": 76,
          "security": 49,
          "transparency": 54
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-05"
        },
        "negative": 0,
        "verdict": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.",
        "bestFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.",
        "strengths": [
          "Apache-2.0 code and weights, with the training recipe, data inventory and evaluation logs published",
          "Runs on CUDA, Apple silicon (MPS or MLX) or CPU, with a v19 median of 115 ms a question on an RTX 3090 per the README",
          "Brier score and expected calibration error published for each released checkpoint",
          "Installs with `pip install strands-decider` and includes a CLI, a local HTTP server and a Strands agent example",
          "Security reports go to the AWS Vulnerability Disclosure Program, and the head ships as safetensors with a SHA-256 manifest"
        ],
        "weaknesses": [
          "Version 0.1.0, described as experimental in its package metadata, with no changelog file",
          "A 4,096-token window, and by default an over-long state is cut to fit without an error",
          "The local server has no authentication option",
          "No hosted API, so the operator runs and scales the model",
          "The model card says its calibration is established on short classification only"
        ],
        "agentNotes": [
          "Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository",
          "Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window",
          "Ask every question about one state in one request. The state is read once and each question adds only its own tokens",
          "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option",
          "Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 1,
        "avgRating": 2,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.3
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 79,
          "payments": 60,
          "reliability": 50,
          "schema": 76,
          "security": 49,
          "transparency": 63
        },
        "provenanceScore": 44
      },
      "connect": {
        "install": "pip install strands-decider\nstrands-decider serve StrandsAgents/strands-decider-2B-hobson-v21 --port 8000",
        "http": "curl -s localhost:8000/v1/systemone \\\n  -H 'content-type: application/json' \\\n  -d '{\n    \"state\": \"Help! My payouts have been failing for 3 days!\",\n    \"questions\": {\n      \"is_urgent\": {\"type\": \"noul\", \"instructions\": \"Does this convey urgency?\"}\n    }\n  }'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/strands-decider"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Amazon Web Services, Inc.",
        "domain": "strandsagents.com",
        "domainRegistered": "2025-05-15",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-05",
        "notes": [
          "The repository's SECURITY.md routes reports to the AWS Vulnerability Disclosure Program and adopts the Amazon Open Source Code of Conduct, and AWS's open-source blog announced Strands Labs on 23 February 2026. The legal entity is inferred from those pages. The licence names no copyright holder.",
          "strandsagents.com was registered on 15 May 2025 per RDAP. Its /.well-known/security.txt returned 404.",
          "Software you run, so there's no hosted endpoint, terms or privacy policy to check. The Apache-2.0 licence stands in for terms.",
          "No changelog file or GitHub release tags in the repository. Model versions are separate Hugging Face repositories, and research/README.md in the repository lists each training run."
        ],
        "score": 44
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/strands-decider.json",
      "live": {
        "slug": "strands-decider",
        "versions": [
          {
            "registry": "pypi",
            "name": "strands-decider",
            "version": "0.1.0",
            "released": "2026-10-01",
            "seenAt": "2026-10-09T17:22:12.335125665Z"
          }
        ],
        "githubStars": 538,
        "pypiWeekly": 4694,
        "securityTxt": {
          "url": "https://strandsagents.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:40:34.772103827Z"
        },
        "updatedAt": "2026-10-09T17:22:12.520245856Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Nace AI, Inc. (Nace.AI)",
        "b": "Amazon Web Services (Strands Agents)",
        "name": "Vendor"
      },
      {
        "a": "https://console.nace.ai/v1/systemone",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "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.",
        "b": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-28",
        "b": "2026-10-05",
        "name": "Last release"
      },
      {
        "a": "",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "",
        "b": "no document linked",
        "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": "318 npm/wk, 156 PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2/5 (1)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Drex 1.5 scores 69.7 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, Drex 1.5 or Strands Decider 2B?"
      },
      {
        "answer": "Drex 1.5 needs an API key. Strands Decider 2B needs no key.",
        "question": "Do Drex 1.5 and Strands Decider 2B need an API key?"
      },
      {
        "answer": "Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone. No hosted endpoint is listed for Strands Decider 2B.",
        "question": "Can an agent call Drex 1.5 and Strands Decider 2B without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Drex 1.5. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).",
        "question": "Are Drex 1.5 and Strands Decider 2B open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 80 against 50",
          "Schema \u0026 documentation, 88 against 76",
          "Agent ergonomics, 85 against 69",
          "Security \u0026 auth, 65 against 49",
          "Transparency \u0026 trust, 63 against 54"
        ],
        "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."
      },
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 40",
          "Maintenance \u0026 community, 79 against 65"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
        "goodFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.",
        "slug": "strands-decider",
        "watchFor": "Version 0.1.0, described as experimental in its package metadata, with no changelog file"
      }
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      "capability": "inference.decision",
      "name": "Decision models"
    },
    "others": [
      {
        "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/celeris-1-decision-vs-strands-decider.json",
        "title": "Celeris-1 Decision vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider"
      },
      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.json",
        "title": "Clef vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider"
      },
      {
        "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-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/decider-vs-nace-drex.json",
        "title": "Decider vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/decider-vs-nace-drex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-strands-decider.json",
        "title": "Decider vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/decider-vs-strands-decider"
      },
      {
        "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/gliclass-vs-strands-decider.json",
        "title": "GLiClass vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider"
      },
      {
        "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/jaredpalmer-kev-vs-strands-decider.json",
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        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.json",
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        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex"
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      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json",
        "title": "Liquid d1 vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider"
      },
      {
        "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/microsoft-decision-1-vs-strands-decider.json",
        "title": "Microsoft-Decision-1 vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider"
      },
      {
        "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-typesafe-jev.json",
        "title": "Drex 1.5 vs Jev",
        "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",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json",
        "title": "OpenAI Decisions API vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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/strands-decider-vs-typesafe-jev.json",
        "title": "Strands Decider 2B vs Jev",
        "url": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/strands-decider-vs-vela.json",
        "title": "Strands Decider 2B vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/strands-decider-vs-vela"
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      {
        "by": 30,
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        "key": "reliability",
        "nace-drex": 80,
        "name": "Reliability",
        "strands-decider": 50,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 12,
        "edge": "nace-drex",
        "key": "schema",
        "nace-drex": 88,
        "name": "Schema \u0026 documentation",
        "strands-decider": 76,
        "weight": 13
      },
      {
        "by": 16,
        "edge": "nace-drex",
        "key": "ergonomics",
        "nace-drex": 85,
        "name": "Agent ergonomics",
        "strands-decider": 69,
        "weight": 13
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      {
        "by": 16,
        "edge": "nace-drex",
        "key": "security",
        "nace-drex": 65,
        "name": "Security \u0026 auth",
        "strands-decider": 49,
        "weight": 14
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      {
        "by": 20,
        "edge": "strands-decider",
        "key": "payments",
        "nace-drex": 40,
        "name": "Payments \u0026 pricing",
        "strands-decider": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 14,
        "edge": "strands-decider",
        "key": "maintenance",
        "nace-drex": 65,
        "name": "Maintenance \u0026 community",
        "strands-decider": 79,
        "weight": 7
      },
      {
        "by": 9,
        "edge": "nace-drex",
        "key": "transparency",
        "nace-drex": 63,
        "name": "Transparency \u0026 trust",
        "strands-decider": 54,
        "weight": 7
      }
    ],
    "summary": "Drex 1.5 scores 69.7 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing and maintenance \u0026 community. Both do decision models.",
    "verdicts": {
      "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.",
      "strands-decider": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication."
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  "markdown": "Drex 1.5 scores 69.7 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing and maintenance \u0026 community. Both do decision models.\n\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- Strands Decider 2B: grade C, 61.3/100, rank #472 of 954. Markdown https://www.anchorterminal.com/tools/strands-decider.md · JSON https://www.anchorterminal.com/api/v1/tools/strands-decider.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### 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 50\n- Schema \u0026 documentation, 88 against 76\n- Agent ergonomics, 85 against 69\n- Security \u0026 auth, 65 against 49\n- Transparency \u0026 trust, 63 against 54\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### Strands Decider 2B (C)\n\nGood for: Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 40\n- Maintenance \u0026 community, 79 against 65\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: Version 0.1.0, described as experimental in its package metadata, with no changelog file\n\n\n## Score by category\n\n| Category | Weight | Drex 1.5 | Strands Decider 2B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 50 | Drex 1.5 +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 76 | Drex 1.5 +12 |\n| Agent ergonomics | 13% (16.2 this run) | 85 | 69 | Drex 1.5 +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 49 | Drex 1.5 +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 60 | Strands Decider 2B +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 79 | Strands Decider 2B +14 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 54 | Drex 1.5 +9 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **69.7 · B** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | Drex 1.5 | Strands Decider 2B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Nace AI, Inc. (Nace.AI) | Amazon Web Services (Strands Agents) |\n| Hosted endpoint | `https://console.nace.ai/v1/systemone` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | 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. | Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-09-28 | 2026-10-05 |\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 | 318 npm/wk, 156 PyPI/wk | none |\n| Agent reviews | none | 2/5 (1) |\n\n## Verdicts\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**Strands Decider 2B.** A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.\n\n## Before you call either\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### Strands Decider 2B\n\n1. Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository\n2. Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window\n3. Ask every question about one state in one request. The state is read once and each question adds only its own tokens\n4. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n5. Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only\n\n## Questions\n\n### Which is better for AI agents, Drex 1.5 or Strands Decider 2B?\n\nDrex 1.5 scores 69.7 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 5 of 7 scored categories. Strands Decider 2B leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Drex 1.5 and Strands Decider 2B need an API key?\n\nDrex 1.5 needs an API key. Strands Decider 2B needs no key.\n\n### Can an agent call Drex 1.5 and Strands Decider 2B without installing anything?\n\nDrex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone. No hosted endpoint is listed for Strands Decider 2B.\n\n### Are Drex 1.5 and Strands Decider 2B open source?\n\nNo open-source release is listed for Drex 1.5. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nace-drex\", \"b\": \"strands-decider\"}`. From a terminal: `anchor compare nace-drex strands-decider`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nace-drex.json and https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n\n## Other comparisons with Drex 1.5 or Strands Decider 2B\n\n- [Celeris-1 Decision vs Drex 1.5](https://www.anchorterminal.com/compare/celeris-1-decision-vs-nace-drex.md)\n- [Celeris-1 Decision vs Strands Decider 2B](https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.md)\n- [Clef vs Drex 1.5](https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex.md)\n- [Clef vs Strands Decider 2B](https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.md)\n- [Laya vs Drex 1.5](https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Decider vs Drex 1.5](https://www.anchorterminal.com/compare/decider-vs-nace-drex.md)\n- [Decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md)\n- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [Kev vs Drex 1.5](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Liquid d1 vs Drex 1.5](https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [Microsoft-Decision-1 vs Drex 1.5](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.md)\n- [Microsoft-Decision-1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider.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 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- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [pplx-decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n",
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