{
  "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": 69.5,
        "grade": "B",
        "agentReady": false,
        "rank": 191,
        "ranked": true,
        "rankOf": 1094,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 40,
          "reliability": 80,
          "schema": 88,
          "security": 65,
          "transparency": 61
        },
        "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": 69.5
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 40,
          "reliability": 80,
          "schema": 88,
          "security": 65,
          "transparency": 50
        },
        "provenanceScore": 71
      },
      "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": 71
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/nace-drex.json",
      "live": {
        "slug": "nace-drex",
        "probe": {
          "target": "https://console.nace.ai/v1/systemone",
          "method": "get",
          "lastAt": "2026-10-15T14:03:36.384404312Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 185,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 197,
          "p95ms24h": 339,
          "samples24h": 254,
          "samples30d": 1275,
          "days": [
            {
              "date": "2026-10-10",
              "probes": 134,
              "ok": 134
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 150,
              "ok": 150
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.nace.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-15T10:06:49.940127659Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "nace-sdk",
            "version": "0.1.0",
            "seenAt": "2026-10-15T00:08:09.743739765Z"
          },
          {
            "registry": "pypi",
            "name": "nace-mcp",
            "version": "0.1.0",
            "released": "2026-10-08",
            "seenAt": "2026-10-15T00:08:10.515323322Z"
          },
          {
            "registry": "pypi",
            "name": "nace-sdk",
            "version": "0.1.0",
            "released": "2026-10-08",
            "seenAt": "2026-10-15T00:08:09.533384676Z"
          }
        ],
        "npmWeekly": 372,
        "pypiWeekly": 186,
        "securityTxt": {
          "url": "https://nace.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-13T15:18:37.822Z",
          "checkedAt": "2026-10-14T15:47:47.946623478Z"
        },
        "llmsTxt": {
          "url": "https://drex.nace.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-14T14:14:36.035464375Z"
        },
        "domain": {
          "domain": "nace.ai",
          "registered": "2024-01-30",
          "source": "https://rdap.identitydigital.services/rdap/domain/nace.ai",
          "checkedAt": "2026-10-11T13:17:10.993409397Z"
        },
        "pages": [
          {
            "url": "https://www.nace.ai/policies/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-14T21:15:08.591789414Z",
            "changedAt": "2026-10-11T19:40:50.422711867Z",
            "fingerprint": "1d31d054e67b"
          },
          {
            "url": "https://www.nace.ai/policies/terms-of-service",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-14T21:15:10.760481433Z",
            "changedAt": "2026-10-11T19:40:53.373624282Z",
            "fingerprint": "8f6a0971efc2"
          }
        ],
        "updatedAt": "2026-10-15T14:03:36.384404312Z"
      }
    },
    "answer": "Drex 1.5 scores 69.5 (B) on agent readiness against ScaleDown's 48.6 (D), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "scaledown",
      "name": "ScaleDown",
      "vendor": "Carbon ScaleDown, Inc.",
      "vendorUrl": "https://scaledown.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "ScaleDown's API serves three single-task Constrained Decoding Models (Classify, Extract and Summarize) and a Compress model, called with an API key at api.scaledown.xyz. Classify answers Jev-shaped decision requests with probabilities.",
      "url": "https://www.anchorterminal.com/tools/scaledown",
      "markdownUrl": "https://www.anchorterminal.com/tools/scaledown.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/scaledown.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/scaledown.json",
      "repo": "https://github.com/scaledown-team/langchain-scaledown",
      "license": "Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.scaledown.xyz",
      "packages": [
        {
          "registry": "pypi",
          "name": "langchain-scaledown"
        }
      ],
      "auth": "api-key",
      "authNotes": "An API key in the `x-api-key` header. Extract and Summarize on `/v1/chat/completions` also accept `Authorization: Bearer`, so an unmodified OpenAI SDK works by changing the base URL. Keys are made in the dashboard after sign-up at scaledown.ai/auth. We found no documentation of key scopes, expiry or rotation. An unauthenticated request returns 401 with `{\"detail\":\"x-api-key header is required\"}`.",
      "pricing": "usage",
      "pricingNotes": "$0.05 per million input tokens for every model, with output tokens free (https://scaledown.ai, FAQ). Classify's optional one-sentence reasoning bills its extra input tokens at 2x. New accounts get 50 million free tokens with no card, per the homepage. The docs introduction instead says to contact sales for a key. OpenRouter lists Extract and Summarize at $0.04 per million input tokens. Enterprise and self-hosted plans are priced by sales.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document, the site or the LiteLLM and OpenRouter entries (checked 2026-10-14). Running out of credit returns 402 Payment Required as an ordinary error.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 0,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-14"
      },
      "docsUrl": "https://docs.scaledown.ai/introduction",
      "llmsTxt": "https://docs.scaledown.ai/llms.txt",
      "openapi": "https://docs.scaledown.ai/api-reference/openapi.json",
      "capabilities": [
        "inference.decision",
        "docs.extract"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "usage-priced",
        "free-tier",
        "no-card",
        "python"
      ],
      "lastRelease": "2026-10-14",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 48.6,
        "grade": "D",
        "agentReady": false,
        "rank": 880,
        "ranked": true,
        "rankOf": 1094,
        "categoryRank": 15,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 76,
          "maintenance": 56,
          "payments": 40,
          "reliability": 20,
          "schema": 69,
          "security": 48,
          "transparency": 54
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-14"
        },
        "negative": -2,
        "negativeNotes": [
          "Conflicting compliance claims on ScaleDown's own pages, read 14 October 2026. The DPA (20 July 2026) says ScaleDown maintains a SOC 2 Type II attestation and ISO 27001 certification, the homepage shows SOC 2 Type 1, HIPAA and ISO 27001 badges, and llms.txt says GDPR, HIPAA and SOC 2 compliance is in progress. At least one is wrong. No report or trust centre found to settle it (-2) (https://scaledown.ai/dpa, https://scaledown.ai/llms.txt)"
        ],
        "verdict": "Classify answers Jev-shaped `choice`, `noul` and `score` questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other.",
        "bestFor": "Cheap, high-volume labelling, routing and yes or no checks where a probability is more useful than prose, and for pulling described fields with offsets from text, images or PDFs.",
        "strengths": [
          "`POST /v1/scaledown` takes Jev's request shape, so a Jev integration can move by changing the base URL, per the docs",
          "$0.05 per million input tokens for every model, output free, and 50 million free tokens with no card, per the homepage",
          "Extract returns each value with a confidence, character offsets and surrounding context, and routes `enum` fields to the Classify model",
          "llms.txt with Markdown twins, an OpenAPI 3.1 document and OpenAI-compatible chat completions for Extract and Summarize",
          "The terms, DPA and FAQ agree that customer data isn't used for training, and the DPA lists four US subprocessors"
        ],
        "weaknesses": [
          "No status page, no published rate limits and no SLA outside enterprise contracts",
          "No public changelog. The docs dropped the native /extract and /summarization endpoints from the reference on 13 October 2026",
          "Compliance claims disagree between the DPA (SOC 2 Type II, ISO 27001), the homepage badges (SOC 2 Type 1) and llms.txt (in progress)",
          "No security.txt, disclosure policy or bug bounty, and no guidance on hostile text in classified input",
          "The OpenAPI document covers /classify, /v1/scaledown and Compress only, without the documented limits"
        ],
        "agentNotes": [
          "Send several questions about one item in one `/v1/scaledown` call. Each becomes its own Classify call and the usage is summed",
          "Pin `classify-1`, `extract-1` or `summarize-1` once you've tuned thresholds on your own labelled cases",
          "Set `context_chars` to 0 and use `top_n` on Extract unless you need the 500 characters of context each side",
          "Set `reasoning: false` on /classify when you only need the label. The reasoning call bills its input at 2x",
          "Back off and retry on 429, 502 and 504. No limits are published and calls have no side effects"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 48.6
          }
        ],
        "editorialScores": {
          "ergonomics": 76,
          "maintenance": 56,
          "payments": 40,
          "reliability": 20,
          "schema": 69,
          "security": 48,
          "transparency": 56
        },
        "provenanceScore": 52
      },
      "connect": {
        "install": "pip install langchain-scaledown   # LangChain middleware; any OpenAI SDK also works against /v1/chat/completions",
        "http": "curl https://api.scaledown.xyz/v1/scaledown \\\n  -H \"x-api-key: $SCALEDOWN_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"classify-1\",\"state\":\"I was charged twice for my subscription this month.\",\"questions\":{\"category\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"About a charge, invoice, refund, or payment problem.\",\"technical\":\"About a bug or something not working.\"}}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/scaledown"
      },
      "alsoIn": [
        "document-extraction"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Classify, Extract, Summarize and Compress input",
          "unit": "1m-tokens",
          "usd": 0.05,
          "note": "Output tokens free. Classify reasoning input billed at 2x. 50M free tokens for new accounts"
        }
      ],
      "provenance": {
        "legalEntity": "Carbon ScaleDown, Inc.",
        "domain": "scaledown.ai",
        "domainRegistered": "2025-03-28",
        "endpointOnVendorDomain": true,
        "terms": "https://scaledown.ai/terms",
        "privacy": "https://scaledown.ai/privacy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-14",
        "notes": [
          "The terms (last updated 20 July 2026), privacy notice (3 June 2026) and DPA (20 July 2026) name Carbon ScaleDown, Inc., 22952 Stokes Rd, Ramona, CA 92065, and Delaware law. One sentence of the terms names ScaleDown, Inc.",
          "scaledown.ai is a single-page app. /terms, /privacy and /dpa answer HTTP 404 with the app shell, and their text is in the JavaScript bundle (https://scaledown.ai/assets/index-CIrIjse9.js), where we read it.",
          "The API host is api.scaledown.xyz. scaledown.xyz redirects to scaledown.ai, so we treat the endpoint as on the vendor's domain.",
          "scaledown.ai/.well-known/security.txt and docs.scaledown.ai/.well-known/security.txt return 404. status.scaledown.ai and status.scaledown.xyz don't resolve.",
          "No public changelog. The docs source at github.com/scaledown-team/docs has dated commits that record API changes.",
          "RDAP gives scaledown.ai a registration date of 28 March 2025."
        ],
        "score": 52
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/scaledown.json",
      "live": {
        "slug": "scaledown",
        "probe": {
          "target": "https://api.scaledown.xyz",
          "method": "get",
          "lastAt": "2026-10-15T14:03:43.707330463Z",
          "lastOk": true,
          "lastStatus": 403,
          "lastMs": 252,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 263,
          "p95ms24h": 308,
          "samples24h": 197,
          "samples30d": 197,
          "days": [
            {
              "date": "2026-10-14",
              "probes": 47,
              "ok": 47
            },
            {
              "date": "2026-10-15",
              "probes": 150,
              "ok": 150
            }
          ]
        },
        "versions": [
          {
            "registry": "pypi",
            "name": "langchain-scaledown",
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        "b": "Model API",
        "name": "Kind"
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        "a": "Nace AI, Inc. (Nace.AI)",
        "b": "Carbon ScaleDown, Inc.",
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        "b": "https://api.scaledown.xyz",
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        "b": "API key",
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        "a": "Freemium",
        "b": "Pay per use",
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      {
        "a": "no",
        "b": "no",
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      {
        "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": "Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
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        "b": "couldn't be read",
        "name": "Terms last updated"
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        "a": "2026-10-09",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
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      {
        "a": "yes",
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        "name": "Arbitration or class-action waiver"
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        "a": "318 npm/wk, 156 PyPI/wk",
        "b": "0 stars",
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    ],
    "faq": [
      {
        "answer": "Drex 1.5 scores 69.5 (B) on agent readiness against ScaleDown's 48.6 (D), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, Drex 1.5 or ScaleDown?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Drex 1.5 and ScaleDown need an API key?"
      },
      {
        "answer": "Yes. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone and ScaleDown at https://api.scaledown.xyz.",
        "question": "Can an agent call Drex 1.5 and ScaleDown without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 80 against 20",
          "Schema \u0026 documentation, 88 against 69",
          "Agent ergonomics, 85 against 76",
          "Security \u0026 auth, 65 against 48",
          "Maintenance \u0026 community, 65 against 56",
          "Transparency \u0026 trust, 61 against 54"
        ],
        "also": null,
        "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": null,
        "also": [
          "Free to start without a card"
        ],
        "goodFor": "Cheap, high-volume labelling, routing and yes or no checks where a probability is more useful than prose, and for pulling described fields with offsets from text, images or PDFs.",
        "slug": "scaledown",
        "watchFor": "No status page, no published rate limits and no SLA outside enterprise contracts"
      }
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    "job": {
      "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-scaledown.json",
        "title": "Celeris-1 Decision vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex.json",
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        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-scaledown.json",
        "title": "Clef vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-scaledown"
      },
      {
        "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-scaledown.json",
        "title": "Laya vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-scaledown"
      },
      {
        "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-scaledown.json",
        "title": "Decider vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/decider-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decision-3-vs-nace-drex.json",
        "title": "Decision 3.0 vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/decision-3-vs-nace-drex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decision-3-vs-scaledown.json",
        "title": "Decision 3.0 vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/decision-3-vs-scaledown"
      },
      {
        "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-scaledown.json",
        "title": "GLiClass vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex.json",
        "title": "Kev vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown.json",
        "title": "Kev vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown"
      },
      {
        "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/liquid-d1-vs-scaledown.json",
        "title": "Liquid d1 vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown"
      },
      {
        "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-scaledown.json",
        "title": "Microsoft-Decision-1 vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-scaledown"
      },
      {
        "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-sprag-spev.json",
        "title": "Drex 1.5 vs SPEV",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-sprag-spev"
      },
      {
        "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",
        "title": "Drex 1.5 vs Jev",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-typesafe-jev"
      },
      {
        "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-scaledown.json",
        "title": "OpenAI Decisions API vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-scaledown.json",
        "title": "pplx-decider vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev.json",
        "title": "ScaleDown vs SPEV",
        "url": "https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/scaledown-vs-strands-decider.json",
        "title": "ScaleDown vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/scaledown-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/scaledown-vs-typesafe-jev.json",
        "title": "ScaleDown vs Jev",
        "url": "https://www.anchorterminal.com/compare/scaledown-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/scaledown-vs-vela.json",
        "title": "ScaleDown vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/scaledown-vs-vela"
      }
    ],
    "scores": [
      {
        "by": 60,
        "edge": "nace-drex",
        "key": "reliability",
        "nace-drex": 80,
        "name": "Reliability",
        "scaledown": 20,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 19,
        "edge": "nace-drex",
        "key": "schema",
        "nace-drex": 88,
        "name": "Schema \u0026 documentation",
        "scaledown": 69,
        "weight": 13
      },
      {
        "by": 9,
        "edge": "nace-drex",
        "key": "ergonomics",
        "nace-drex": 85,
        "name": "Agent ergonomics",
        "scaledown": 76,
        "weight": 13
      },
      {
        "by": 17,
        "edge": "nace-drex",
        "key": "security",
        "nace-drex": 65,
        "name": "Security \u0026 auth",
        "scaledown": 48,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "nace-drex": 40,
        "name": "Payments \u0026 pricing",
        "scaledown": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "edge": "nace-drex",
        "key": "maintenance",
        "nace-drex": 65,
        "name": "Maintenance \u0026 community",
        "scaledown": 56,
        "weight": 7
      },
      {
        "by": 7,
        "edge": "nace-drex",
        "key": "transparency",
        "nace-drex": 61,
        "name": "Transparency \u0026 trust",
        "scaledown": 54,
        "weight": 7
      }
    ],
    "summary": "Drex 1.5 scores 69.5 (B) on agent readiness against ScaleDown's 48.6 (D), and leads in 6 of 7 scored categories. 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.",
      "scaledown": "Classify answers Jev-shaped `choice`, `noul` and `score` questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/nace-drex-vs-scaledown",
    "json": "https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.md",
    "slim": "https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.min.md"
  },
  "markdown": "Drex 1.5 scores 69.5 (B) on agent readiness against ScaleDown's 48.6 (D), and leads in 6 of 7 scored categories. Both do decision models.\n\n- Drex 1.5: grade B, 69.5/100, rank #191 of 1094. Markdown https://www.anchorterminal.com/tools/nace-drex.md · JSON https://www.anchorterminal.com/api/v1/tools/nace-drex.json\n- ScaleDown: grade D, 48.6/100, rank #880 of 1094. Markdown https://www.anchorterminal.com/tools/scaledown.md · JSON https://www.anchorterminal.com/api/v1/tools/scaledown.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 136 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\n- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md\n- All 125 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/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 20\n- Schema \u0026 documentation, 88 against 69\n- Agent ergonomics, 85 against 76\n- Security \u0026 auth, 65 against 48\n- Maintenance \u0026 community, 65 against 56\n- Transparency \u0026 trust, 61 against 54\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### ScaleDown (D)\n\nGood for: Cheap, high-volume labelling, routing and yes or no checks where a probability is more useful than prose, and for pulling described fields with offsets from text, images or PDFs.\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: No status page, no published rate limits and no SLA outside enterprise contracts\n\n\n## Score by category\n\n| Category | Weight | Drex 1.5 | ScaleDown | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 20 | Drex 1.5 +60 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 69 | Drex 1.5 +19 |\n| Agent ergonomics | 13% (16.2 this run) | 85 | 76 | Drex 1.5 +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 48 | Drex 1.5 +17 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 56 | Drex 1.5 +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 54 | Drex 1.5 +7 |\n| Negative events | ≤15 | -2 | -2 | |\n| **Total** | | **69.5 · B** | **48.6 · D** | |\n\n## Facts side by side\n\n| Fact | Drex 1.5 | ScaleDown |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Nace AI, Inc. (Nace.AI) | Carbon ScaleDown, Inc. |\n| Hosted endpoint | `https://console.nace.ai/v1/systemone` | `https://api.scaledown.xyz` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\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. | Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-28 | 2026-10-14 |\n| Terms last updated | 2026-10-09 | couldn't be read |\n| Privacy policy last updated | 2026-10-09 | couldn't be read |\n| Customer content may train models | yes, with an opt-out | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | yes | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | 318 npm/wk, 156 PyPI/wk | 0 stars |\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**ScaleDown.** Classify answers Jev-shaped `choice`, `noul` and `score` questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other.\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### ScaleDown\n\n1. Send several questions about one item in one `/v1/scaledown` call. Each becomes its own Classify call and the usage is summed\n2. Pin `classify-1`, `extract-1` or `summarize-1` once you've tuned thresholds on your own labelled cases\n3. Set `context_chars` to 0 and use `top_n` on Extract unless you need the 500 characters of context each side\n4. Set `reasoning: false` on /classify when you only need the label. The reasoning call bills its input at 2x\n5. Back off and retry on 429, 502 and 504. No limits are published and calls have no side effects\n\n## Questions\n\n### Which is better for AI agents, Drex 1.5 or ScaleDown?\n\nDrex 1.5 scores 69.5 (B) on agent readiness against ScaleDown's 48.6 (D), and leads in 6 of 7 scored categories.\n\n### Do Drex 1.5 and ScaleDown need an API key?\n\nBoth need an API key.\n\n### Can an agent call Drex 1.5 and ScaleDown without installing anything?\n\nYes. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone and ScaleDown at https://api.scaledown.xyz.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nace-drex\", \"b\": \"scaledown\"}`. From a terminal: `anchor compare nace-drex scaledown`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nace-drex.json and https://www.anchorterminal.com/api/v1/tools/scaledown.json\n\n## Other comparisons with Drex 1.5 or ScaleDown\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 ScaleDown](https://www.anchorterminal.com/compare/celeris-1-decision-vs-scaledown.md)\n- [Clef vs Drex 1.5](https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex.md)\n- [Clef vs ScaleDown](https://www.anchorterminal.com/compare/cloudflare-clef-vs-scaledown.md)\n- [Laya vs Drex 1.5](https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.md)\n- [Laya vs ScaleDown](https://www.anchorterminal.com/compare/convai-laya-vs-scaledown.md)\n- [Decider vs Drex 1.5](https://www.anchorterminal.com/compare/decider-vs-nace-drex.md)\n- [Decider vs ScaleDown](https://www.anchorterminal.com/compare/decider-vs-scaledown.md)\n- [Decision 3.0 vs Drex 1.5](https://www.anchorterminal.com/compare/decision-3-vs-nace-drex.md)\n- [Decision 3.0 vs ScaleDown](https://www.anchorterminal.com/compare/decision-3-vs-scaledown.md)\n- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)\n- [GLiClass vs ScaleDown](https://www.anchorterminal.com/compare/gliclass-vs-scaledown.md)\n- [Kev vs Drex 1.5](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex.md)\n- [Kev vs ScaleDown](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown.md)\n- [Liquid d1 vs Drex 1.5](https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.md)\n- [Liquid d1 vs ScaleDown](https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown.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 ScaleDown](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-scaledown.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 SPEV](https://www.anchorterminal.com/compare/nace-drex-vs-sprag-spev.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- [OpenAI Decisions API vs ScaleDown](https://www.anchorterminal.com/compare/openai-decisions-api-vs-scaledown.md)\n- [pplx-decider vs ScaleDown](https://www.anchorterminal.com/compare/pplx-decider-vs-scaledown.md)\n- [ScaleDown vs SPEV](https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev.md)\n- [ScaleDown vs Strands Decider 2B](https://www.anchorterminal.com/compare/scaledown-vs-strands-decider.md)\n- [ScaleDown vs Jev](https://www.anchorterminal.com/compare/scaledown-vs-typesafe-jev.md)\n- [ScaleDown vs Vela 2.0](https://www.anchorterminal.com/compare/scaledown-vs-vela.md)\n",
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