{
  "data": {
    "a": {
      "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": 917,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 18,
        "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": "2026-10-18T00:14:54.579732126Z",
          "lastOk": true,
          "lastStatus": 403,
          "lastMs": 260,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 263,
          "p95ms24h": 325,
          "samples24h": 253,
          "samples30d": 808,
          "days": [
            {
              "date": "2026-10-14",
              "probes": 47,
              "ok": 47
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 3,
              "ok": 3
            }
          ]
        },
        "versions": [
          {
            "registry": "pypi",
            "name": "langchain-scaledown",
            "version": "0.2.0",
            "released": "2026-10-12",
            "seenAt": "2026-10-17T02:15:43.866175969Z"
          }
        ],
        "githubStars": 0,
        "pypiWeekly": 292,
        "securityTxt": {
          "url": "https://scaledown.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-17T15:52:20.915283697Z"
        },
        "llmsTxt": {
          "url": "https://docs.scaledown.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-17T14:23:10.857281738Z"
        },
        "pages": [
          {
            "url": "https://scaledown.ai/privacy",
            "kind": "privacy",
            "status": 404,
            "checkedAt": "2026-10-17T23:09:25.223499381Z",
            "changedAt": "0001-01-01T00:00:00Z"
          },
          {
            "url": "https://scaledown.ai/terms",
            "kind": "terms",
            "status": 404,
            "checkedAt": "2026-10-17T23:09:27.6171155Z",
            "changedAt": "0001-01-01T00:00:00Z"
          }
        ],
        "updatedAt": "2026-10-18T00:14:54.579732126Z"
      }
    },
    "answer": "kettei scores 58.3 (C) on agent readiness against ScaleDown's 48.6 (D), and leads in 5 of 7 scored categories. ScaleDown leads on payments \u0026 pricing.",
    "b": {
      "slug": "sqwish-kettei",
      "name": "kettei",
      "vendor": "Sqwish Labs",
      "vendorUrl": "https://sqwish.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "kettei is Sqwish Labs' family of decision models, released on 14 October 2026. Its OneHot API returns a probability for each allowed answer to yes or no, choice and rating questions about text or images, and fine-tunes the smaller sizes.",
      "url": "https://www.anchorterminal.com/tools/sqwish-kettei",
      "markdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json",
      "repo": "https://github.com/sqwishai/onehot-agent",
      "license": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.sqwish.ai/v1/decide",
      "packages": [
        {
          "registry": "pypi",
          "name": "sqwishai"
        },
        {
          "registry": "npm",
          "name": "sqwishai"
        }
      ],
      "auth": "api-key",
      "authNotes": "A bearer key (`onehot_sk_...`) created in the console at console.sqwish.ai and shown once. Each key has full, inference or read-only scope, and an inference key can carry a monthly spend cap. No key can create keys, buy credit or change the account. `/v1/lint`, `/v1/recipes`, `/v1/systemone/translate` and `/healthz` need no key.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credit bought in the console, with no contract. Per million input tokens, kettei fat costs $0.06, chub $0.04 and core $0.02, and fine-tuned chub and core cost twice their base rate. Output isn't billed. Training costs $0.80 (chub) or $0.40 (core) per million training tokens, at least $2.50 a job, charged only if it succeeds. Keep warm is $0.10 an hour. Admission gives $5.00 of credit for 30 days, and new accounts may start on a waitlist (https://docs.sqwish.ai/guides/pricing).",
      "priceSummary": "$0.50 / tx",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, llms.txt, the OpenAPI document or the pricing page (checked 2026-10-17). Credit is bought through Stripe in the console.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 1224,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://docs.sqwish.ai/introduction",
      "llmsTxt": "https://docs.sqwish.ai/llms.txt",
      "openapi": "https://api.sqwish.ai/openapi.json",
      "capabilities": [
        "inference.decision",
        "finetune.sft"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "multimodal",
        "openapi",
        "llms-txt",
        "mcp",
        "python",
        "typescript",
        "usage-priced",
        "prepaid",
        "waitlist"
      ],
      "lastRelease": "2026-10-15",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 58.3,
        "grade": "C",
        "agentReady": false,
        "rank": 640,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 14,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 89,
          "maintenance": 57,
          "payments": 35,
          "reliability": 30,
          "schema": 87,
          "security": 68,
          "transparency": 51
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-14. The launch post says 'We're open-sourcing kettei core (3.7B) and kettei dot (900M) ... so you can run them yourself', and the OneHot page says 'core and dot are open weights you can run yourself' (https://sqwish.ai/blog/your-ai-agent-is-writing-essays-to-tick-boxes, https://sqwish.ai/onehot). On 17 October 2026 the verified Hugging Face organisation Sqwish (Sqwish Labs) listed 0 public models, no model named kettei was found on Hugging Face, and the docs name no download and no kettei-dot model (https://huggingface.co/api/organizations/sqwish/overview, checked 2026-10-17). A claim of available open weights not borne out three days after launch, -2."
        ],
        "verdict": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.",
        "bestFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.",
        "strengths": [
          "Binary, single and ordinal decisions, up to 128 a request, each with a probability for every allowed answer and an optional abstain or cost policy",
          "Per-token prices published without a login, from $0.02 per million input tokens for kettei core, with output unbilled",
          "OpenAPI 3.1 contract of 76 operations, llms.txt on two hosts, Markdown twins and error tables that say what is retried and what is billed",
          "Idempotency keys on every decision, with a successful answer replayed free for 24 hours",
          "Keys scoped to full, inference or read access, with optional monthly spend caps, and no key can change the account"
        ],
        "weaknesses": [
          "Launched on 14 October 2026, with no status page, no changelog and no SLA",
          "Rate limits depend on a tier read from the account, and the docs publish no numbers",
          "Terms, privacy policy and subprocessor list sit behind a Cloudflare bot check and weren't read",
          "The launch post and OneHot page describe kettei core and dot as open weights, and Sqwish's Hugging Face organisation listed no public models on 17 October",
          "No security.txt, bug bounty or certification found, and new accounts may wait on a waitlist"
        ],
        "agentNotes": [
          "Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only",
          "Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged",
          "Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s",
          "Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response",
          "Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.8,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 58.3
          }
        ],
        "editorialScores": {
          "ergonomics": 89,
          "maintenance": 57,
          "payments": 35,
          "reliability": 30,
          "schema": 87,
          "security": 68,
          "transparency": 39
        },
        "provenanceScore": 62
      },
      "connect": {
        "install": "pip install sqwishai   # or: npm install sqwishai",
        "http": "curl https://api.sqwish.ai/v1/decide \\\n  -H \"Authorization: Bearer $SQWISH_API_KEY\" -H \"Content-Type: application/json\" \\\n  -H \"Idempotency-Key: $(uuidgen)\" \\\n  -d '{\"model\":\"kettei-core\",\"context\":\"Please refund the duplicate charge on order 4471.\",\"decisions\":[{\"id\":\"refund\",\"kind\":\"binary\",\"question\":\"Is a refund requested?\"}]}'",
        "claudeCode": "claude mcp add --transport http onehot https://api.sqwish.ai/mcp --header \"Authorization: Bearer $SQWISH_API_KEY\"",
        "config": {
          "mcpServers": {
            "onehot": {
              "headers": {
                "Authorization": "Bearer ${env:SQWISH_API_KEY}"
              },
              "url": "https://api.sqwish.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/sqwish-kettei"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "kettei fat input",
          "unit": "1m-tokens",
          "usd": 0.06,
          "note": "Output not billed"
        },
        {
          "item": "kettei chub input",
          "unit": "1m-tokens",
          "usd": 0.04,
          "note": "Output not billed. Fine-tuned chub $0.08"
        },
        {
          "item": "kettei core input",
          "unit": "1m-tokens",
          "usd": 0.02,
          "note": "Output not billed. Fine-tuned core $0.04"
        },
        {
          "item": "Fine-tuning kettei chub",
          "unit": "1m-tokens",
          "usd": 0.8,
          "note": "Per million training tokens, at least $2.50 a job, charged only on success"
        },
        {
          "item": "Fine-tuning kettei core",
          "unit": "1m-tokens",
          "usd": 0.4,
          "note": "Per million training tokens, at least $2.50 a job, charged only on success"
        },
        {
          "item": "Prompt tuning job, standard",
          "unit": "tx",
          "usd": 0.5,
          "note": "Thorough effort $3.00 a job"
        }
      ],
      "provenance": {
        "legalEntity": "Sqwish Labs",
        "domain": "sqwish.ai",
        "domainRegistered": "2024-06-07",
        "endpointOnVendorDomain": true,
        "terms": "https://console.sqwish.ai/terms",
        "privacy": "https://console.sqwish.ai/privacy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-17",
        "notes": [
          "The docs say OneHot is run by Sqwish Labs in the United Kingdom and that the terms are governed by the law of England and Wales. The terms, privacy policy and subprocessor list on console.sqwish.ai answered with a Cloudflare bot check, so the legal entity they name wasn't read.",
          "Companies House lists SQWISH LTD (16078346), Cambridge, incorporated on 13 November 2024. Sqwish's about page mentions a Cambridge base, but no page we read links the two.",
          "RDAP for sqwish.ai gives a registration date of 7 June 2024.",
          "sqwish.ai/.well-known/security.txt and docs.sqwish.ai/.well-known/security.txt return 404, and the same path on api.sqwish.ai and console.sqwish.ai returns 401. The docs give security@sqwish.ai for leaked keys.",
          "status.sqwish.ai did not resolve, sqwish.ai/status serves the home page, and docs.sqwish.ai/changelog returns 404.",
          "robots.txt allows our reader on sqwish.ai and docs.sqwish.ai. console.sqwish.ai disallows /v1/ and /auth/. api.sqwish.ai has no robots.txt.",
          "The docs' agent page includes a prompt for an agent to install the plugin. It was read as data and not acted on."
        ],
        "score": 62
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.json",
      "live": {
        "slug": "sqwish-kettei",
        "probe": {
          "target": "https://api.sqwish.ai/v1/decide",
          "method": "get",
          "lastAt": "2026-10-18T00:14:57.730484143Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 210,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 219,
          "p95ms24h": 374,
          "samples24h": 24,
          "samples30d": 24,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 21
            },
            {
              "date": "2026-10-18",
              "probes": 3,
              "ok": 3
            }
          ]
        },
        "pages": [
          {
            "url": "https://docs.sqwish.ai/guides/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-17T23:02:04.301442485Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ad2ab7ad7b40"
          },
          {
            "url": "https://console.sqwish.ai/privacy",
            "kind": "privacy",
            "status": 403,
            "checkedAt": "2026-10-17T22:58:05.710191107Z",
            "changedAt": "0001-01-01T00:00:00Z"
          },
          {
            "url": "https://console.sqwish.ai/terms",
            "kind": "terms",
            "status": 403,
            "checkedAt": "2026-10-17T22:58:07.731699708Z",
            "changedAt": "0001-01-01T00:00:00Z"
          }
        ],
        "updatedAt": "2026-10-18T00:14:57.730484143Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Carbon ScaleDown, Inc.",
        "b": "Sqwish Labs",
        "name": "Vendor"
      },
      {
        "a": "https://api.scaledown.xyz",
        "b": "https://api.sqwish.ai/v1/decide",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT",
        "b": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-14",
        "b": "2026-10-15",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "0 stars",
        "b": "1.2k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.8/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "kettei scores 58.3 (C) on agent readiness against ScaleDown's 48.6 (D), and leads in 5 of 7 scored categories. ScaleDown leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, ScaleDown or kettei?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do ScaleDown and kettei need an API key?"
      },
      {
        "answer": "Yes. ScaleDown has a hosted endpoint at https://api.scaledown.xyz and kettei at https://api.sqwish.ai/v1/decide.",
        "question": "Can an agent call ScaleDown and kettei without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 40 against 35"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Reliability, 30 against 20",
          "Schema \u0026 documentation, 87 against 69",
          "Agent ergonomics, 89 against 76",
          "Security \u0026 auth, 68 against 48"
        ],
        "also": null,
        "goodFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.",
        "slug": "sqwish-kettei",
        "watchFor": "Launched on 14 October 2026, with no status page, no changelog and no SLA"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Decision models"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-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/celeris-1-decision-vs-sqwish-kettei.json",
        "title": "Celeris-1 Decision vs kettei",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-scaledown.json",
        "title": "Clef vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.json",
        "title": "Clef vs kettei",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-scaledown.json",
        "title": "Laya vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.json",
        "title": "Laya vs kettei",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei"
      },
      {
        "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/decider-vs-sqwish-kettei.json",
        "title": "Decider vs kettei",
        "url": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decision-3-vs-scaledown.json",
        "title": "Decision 3.0 vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/decision-3-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.json",
        "title": "Decision 3.0 vs kettei",
        "url": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-scaledown.json",
        "title": "GLiClass vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.json",
        "title": "GLiClass vs kettei",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/granite-switch-vs-scaledown.json",
        "title": "Granite Switch 4.1 vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/granite-switch-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.json",
        "title": "Granite Switch 4.1 vs kettei",
        "url": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown.json",
        "title": "Kev vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.json",
        "title": "Kev vs kettei",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown.json",
        "title": "Liquid d1 vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.json",
        "title": "Liquid d1 vs kettei",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-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/microsoft-decision-1-vs-sqwish-kettei.json",
        "title": "Microsoft-Decision-1 vs kettei",
        "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.json",
        "title": "Drex 1.5 vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.json",
        "title": "Drex 1.5 vs kettei",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-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/openai-decisions-api-vs-sqwish-kettei.json",
        "title": "OpenAI Decisions API vs kettei",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-scaledown.json",
        "title": "pplx-decider-flash vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.json",
        "title": "pplx-decider-flash vs kettei",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-scaledown.json",
        "title": "pplx-decider vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.json",
        "title": "pplx-decider vs kettei",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/scaledown-vs-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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.json",
        "title": "SPEV vs kettei",
        "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.json",
        "title": "kettei vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.json",
        "title": "kettei vs Jev",
        "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.json",
        "title": "kettei vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela"
      }
    ],
    "scores": [
      {
        "by": 10,
        "edge": "sqwish-kettei",
        "key": "reliability",
        "name": "Reliability",
        "scaledown": 20,
        "sqwish-kettei": 30,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 18,
        "edge": "sqwish-kettei",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "scaledown": 69,
        "sqwish-kettei": 87,
        "weight": 13
      },
      {
        "by": 13,
        "edge": "sqwish-kettei",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "scaledown": 76,
        "sqwish-kettei": 89,
        "weight": 13
      },
      {
        "by": 20,
        "edge": "sqwish-kettei",
        "key": "security",
        "name": "Security \u0026 auth",
        "scaledown": 48,
        "sqwish-kettei": 68,
        "weight": 14
      },
      {
        "by": 5,
        "edge": "scaledown",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "scaledown": 40,
        "sqwish-kettei": 35,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "edge": "sqwish-kettei",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "scaledown": 56,
        "sqwish-kettei": 57,
        "weight": 7
      },
      {
        "by": 3,
        "edge": "scaledown",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "scaledown": 54,
        "sqwish-kettei": 51,
        "weight": 7
      }
    ],
    "summary": "kettei scores 58.3 (C) on agent readiness against ScaleDown's 48.6 (D), and leads in 5 of 7 scored categories. ScaleDown leads on payments \u0026 pricing. Both do decision models.",
    "tutorials": [],
    "verdicts": {
      "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.",
      "sqwish-kettei": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei",
    "json": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.min.md"
  },
  "markdown": "kettei scores 58.3 (C) on agent readiness against ScaleDown's 48.6 (D), and leads in 5 of 7 scored categories. ScaleDown leads on payments \u0026 pricing. Both do decision models.\n\n- ScaleDown: grade D, 48.6/100, rank #917 of 1133. Markdown https://www.anchorterminal.com/tools/scaledown.md · JSON https://www.anchorterminal.com/api/v1/tools/scaledown.json\n- kettei: grade C, 58.3/100, rank #640 of 1133. Markdown https://www.anchorterminal.com/tools/sqwish-kettei.md · JSON https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 190 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\n- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md\n- All 128 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md\n\n## Which one, for what\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\nAhead on:\n- Payments \u0026 pricing, 40 against 35\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### kettei (C)\n\nGood for: High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.\n\nAhead on:\n- Reliability, 30 against 20\n- Schema \u0026 documentation, 87 against 69\n- Agent ergonomics, 89 against 76\n- Security \u0026 auth, 68 against 48\n\nWatch for: Launched on 14 October 2026, with no status page, no changelog and no SLA\n\n\n## Score by category\n\n| Category | Weight | ScaleDown | kettei | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 20 | 30 | kettei +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 87 | kettei +18 |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 89 | kettei +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 48 | 68 | kettei +20 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 35 | ScaleDown +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 56 | 57 | kettei +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 51 | ScaleDown +3 |\n| Negative events | ≤15 | -2 | -2 | |\n| **Total** | | **48.6 · D** | **58.3 · C** | |\n\n## Facts side by side\n\n| Fact | ScaleDown | kettei |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Carbon ScaleDown, Inc. | Sqwish Labs |\n| Hosted endpoint | `https://api.scaledown.xyz` | `https://api.sqwish.ai/v1/decide` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT | Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-14 | 2026-10-15 |\n| Terms last updated | couldn't be read |  |\n| Privacy policy last updated | couldn't be read |  |\n| Customer content may train models | couldn't be read |  |\n| Terms restrict automated access | couldn't be read |  |\n| Terms restrict benchmarking | couldn't be read |  |\n| Terms or service can change without notice | couldn't be read |  |\n| Arbitration or class-action waiver | couldn't be read |  |\n| Popularity | 0 stars | 1.2k npm/wk |\n| Agent reviews | none | 3.8/5 (4) |\n\n## Verdicts\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**kettei.** OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.\n\n## Before you call either\n\n### 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### kettei\n\n1. Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only\n2. Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged\n3. Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s\n4. Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response\n5. Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked\n\n## Questions\n\n### Which is better for AI agents, ScaleDown or kettei?\n\nkettei scores 58.3 (C) on agent readiness against ScaleDown's 48.6 (D), and leads in 5 of 7 scored categories. ScaleDown leads on payments \u0026 pricing.\n\n### Do ScaleDown and kettei need an API key?\n\nBoth need an API key.\n\n### Can an agent call ScaleDown and kettei without installing anything?\n\nYes. ScaleDown has a hosted endpoint at https://api.scaledown.xyz and kettei at https://api.sqwish.ai/v1/decide.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.json, and with the fewest tokens: https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"scaledown\", \"b\": \"sqwish-kettei\"}`. From a terminal: `anchor compare scaledown sqwish-kettei`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/scaledown.json and https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n\n## Other comparisons with ScaleDown or kettei\n\n- [Celeris-1 Decision vs ScaleDown](https://www.anchorterminal.com/compare/celeris-1-decision-vs-scaledown.md)\n- [Celeris-1 Decision vs kettei](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.md)\n- [Clef vs ScaleDown](https://www.anchorterminal.com/compare/cloudflare-clef-vs-scaledown.md)\n- [Clef vs kettei](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.md)\n- [Laya vs ScaleDown](https://www.anchorterminal.com/compare/convai-laya-vs-scaledown.md)\n- [Laya vs kettei](https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.md)\n- [Decider vs ScaleDown](https://www.anchorterminal.com/compare/decider-vs-scaledown.md)\n- [Decider vs kettei](https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.md)\n- [Decision 3.0 vs ScaleDown](https://www.anchorterminal.com/compare/decision-3-vs-scaledown.md)\n- [Decision 3.0 vs kettei](https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.md)\n- [GLiClass vs ScaleDown](https://www.anchorterminal.com/compare/gliclass-vs-scaledown.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [Granite Switch 4.1 vs ScaleDown](https://www.anchorterminal.com/compare/granite-switch-vs-scaledown.md)\n- [Granite Switch 4.1 vs kettei](https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.md)\n- [Kev vs ScaleDown](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown.md)\n- [Kev vs kettei](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.md)\n- [Liquid d1 vs ScaleDown](https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown.md)\n- [Liquid d1 vs kettei](https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.md)\n- [Microsoft-Decision-1 vs ScaleDown](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-scaledown.md)\n- [Microsoft-Decision-1 vs kettei](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.md)\n- [Drex 1.5 vs ScaleDown](https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.md)\n- [Drex 1.5 vs kettei](https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.md)\n- [OpenAI Decisions API vs ScaleDown](https://www.anchorterminal.com/compare/openai-decisions-api-vs-scaledown.md)\n- [OpenAI Decisions API vs kettei](https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.md)\n- [pplx-decider-flash vs ScaleDown](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-scaledown.md)\n- [pplx-decider-flash vs kettei](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.md)\n- [pplx-decider vs ScaleDown](https://www.anchorterminal.com/compare/pplx-decider-vs-scaledown.md)\n- [pplx-decider vs kettei](https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.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- [SPEV vs kettei](https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.md)\n- [kettei vs Strands Decider 2B](https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.md)\n- [kettei vs Jev](https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.md)\n- [kettei vs Vela 2.0](https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.md)\n",
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