{
  "data": {
    "a": {
      "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"
      }
    },
    "answer": "Vela 2.0 scores 66.5 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.",
    "b": {
      "slug": "vela",
      "name": "Vela 2.0",
      "vendor": "vLLM Semantic Router project and KR Labs",
      "vendorUrl": "https://vllm-sr.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "Vela 2.0 is a family of four open-weight decision models from the vLLM Semantic Router project and KR Labs, released on 6 October 2026 under Apache-2.0 for routing, safety checks, personal-data spans and hallucination checks.",
      "url": "https://www.anchorterminal.com/tools/vela",
      "markdownUrl": "https://www.anchorterminal.com/tools/vela.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vela.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vela.json",
      "repo": "https://github.com/vllm-project/semantic-router",
      "license": "Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "vllm-sr"
        }
      ],
      "auth": "none",
      "authNotes": "No account. The weights are public and ungated on Hugging Face. The bundled `vela2_serve.py` binds to 127.0.0.1 and ignores the Authorization header unless `VELA2_API_KEY` is set, after which it requires `Authorization: Bearer \u003ckey\u003e` and answers 401 otherwise. The router's model runtime has no authentication and publishes on 127.0.0.1 unless `--host` is passed.",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy and no hosted API. Hardware is the owner's cost. The 0.3B runs on a CPU, and the cards put GPU parameter memory at about 17 GB for the 4B. The router docs list about 32 GB for the 9B (checked 2026-10-08).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Vela 2.0 is software the owner runs, and neither server has a payment route (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 6054,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://huggingface.co/collections/vllm-sr/vela-20",
      "openapi": "https://raw.githubusercontent.com/vllm-project/semantic-router/main/src/model-runtime/vllm_srun/api/openapi.yaml",
      "capabilities": [
        "inference.decision",
        "guard.pii",
        "guard.injection",
        "guard.moderation",
        "guard.self-host"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python",
        "openapi"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 66.5,
        "grade": "B",
        "agentReady": false,
        "rank": 313,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 79,
          "maintenance": 84,
          "payments": 60,
          "reliability": 57,
          "schema": 78,
          "security": 60,
          "transparency": 48
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.",
        "bestFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.",
        "strengths": [
          "Five question types in one request (choice, noul, score, set and span), with span answers as labelled character offsets and a probability each",
          "Apache-2.0 weights, code and documentation, ungated on Hugging Face, with safetensors files and a SHA256SUMS manifest in the three decoder repositories",
          "Two serving routes. A bundled FastAPI server on `POST /v1/systemone`, and the router's model runtime with an OpenAPI 3.0.3 contract and Prometheus metrics",
          "The model cards disclose evaluation protocol, including that the 0.3B release selection considered test results and that SQuAD v2 isn't zero-shot",
          "The router's release note lists where the 0.3B default is behind Vela 1.0, with numbers, and how to restore each Vela 1.0 model"
        ],
        "weaknesses": [
          "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026",
          "Loading with `transformers` needs `trust_remote_code=True`, which runs Python from the model repository",
          "The router's `vllm-sr serve MODEL` engine mode is newer than the 0.4.0 stable release and needs the development channel",
          "By the authors' figures the 4B scores 31.63 on the Jev Decision Index 0.2.1 against 42.55 for its Decision 2.0 base",
          "The model runtime has no authentication, and the bundled server is open unless `VELA2_API_KEY` is set"
        ],
        "agentNotes": [
          "Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch",
          "Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name",
          "Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head",
          "Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit",
          "Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 4.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 66.5
          }
        ],
        "editorialScores": {
          "ergonomics": 79,
          "maintenance": 84,
          "payments": 60,
          "reliability": 57,
          "schema": 78,
          "security": 60,
          "transparency": 68
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "pip install torch \"transformers\u003e=5.17\" safetensors tokenizers numpy fastapi uvicorn\n# from a local snapshot of vllm-sr/Vela-2.0-4B\npython vela2_serve.py --model . --device cuda --port 8001",
        "http": "curl -s localhost:8001/v1/systemone -H 'content-type: application/json' \\\n  -d '{\"model\":\"vllm-sr/Vela-2.0-4B\",\"state\":\"My card was charged twice and the parcel never arrived.\",\"questions\":{\"issues\":{\"type\":\"set\",\"instructions\":\"Which issues does the customer report?\",\"criteria\":{\"billing\":\"payments, charges, refunds or invoices\",\"shipping\":\"delivery of an order or a parcel\",\"login\":\"signing in, passwords or account access\"}}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/vela"
      },
      "sameCompany": [
        "decision-3"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "vllm-sr.ai",
        "domainRegistered": "2026-07-13",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://vllm-sr.ai/docs/release-notes/vela-2-0-built-in-signals",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "An open-source project with no company named as publisher. The site footer reads vLLM Semantic Router Team, and the model cards credit KR Labs and vLLM Semantic Router.",
          "RDAP gives 13 July 2026 as the registration date of vllm-sr.ai.",
          "Software the owner runs, so there's no hosted endpoint, terms or privacy policy. The Apache-2.0 licence stands in for terms.",
          "vllm-sr.ai/.well-known/security.txt returns 404. SECURITY.md in the repository takes private reports through GitHub Security Advisories.",
          "The weights are on huggingface.co under the vllm-sr organisation, and the code for the router and its model runtime is at github.com/vllm-project/semantic-router."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/vela.json",
      "live": {
        "slug": "vela",
        "versions": [
          {
            "registry": "github",
            "name": "vllm-project/semantic-router",
            "version": "v0.4.0",
            "released": "2026-09-27",
            "seenAt": "2026-10-17T02:24:58.877855444Z"
          },
          {
            "registry": "pypi",
            "name": "vllm-sr",
            "version": "0.4.0",
            "released": "2026-09-27",
            "seenAt": "2026-10-17T02:24:58.757103887Z"
          }
        ],
        "githubStars": 6202,
        "pypiWeekly": 7668,
        "securityTxt": {
          "url": "https://vllm-sr.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-17T15:52:37.487670582Z"
        },
        "domain": {
          "domain": "vllm-sr.ai",
          "registered": "2026-07-13",
          "source": "https://rdap.identitydigital.services/rdap/domain/vllm-sr.ai",
          "checkedAt": "2026-10-11T13:22:35.430005385Z"
        },
        "pages": [
          {
            "url": "https://vllm-sr.ai/docs/release-notes/vela-2-0-built-in-signals",
            "kind": "changelog",
            "status": 404,
            "checkedAt": "2026-10-17T23:12:11.388514165Z",
            "changedAt": "2026-10-09T18:47:13.835337297Z",
            "fingerprint": "10ded21d9f13"
          }
        ],
        "updatedAt": "2026-10-17T23:12:11.388514165Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Sqwish Labs",
        "b": "vLLM Semantic Router project and KR Labs",
        "name": "Vendor"
      },
      {
        "a": "https://api.sqwish.ai/v1/decide",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "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",
        "b": "Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-15",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "1.2k npm/wk",
        "b": "6.1k stars",
        "name": "Popularity"
      },
      {
        "a": "3.8/5 (4)",
        "b": "4.3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Vela 2.0 scores 66.5 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.",
        "question": "Which is better for AI agents, kettei or Vela 2.0?"
      },
      {
        "answer": "kettei needs an API key. Vela 2.0 needs no key.",
        "question": "Do kettei and Vela 2.0 need an API key?"
      },
      {
        "answer": "kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide. No hosted endpoint is listed for Vela 2.0.",
        "question": "Can an agent call kettei and Vela 2.0 without installing anything?"
      },
      {
        "answer": "No open-source release is listed for kettei. Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).",
        "question": "Are kettei and Vela 2.0 open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 87 against 78",
          "Agent ergonomics, 89 against 79",
          "Security \u0026 auth, 68 against 60"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Reliability, 57 against 30",
          "Payments \u0026 pricing, 60 against 35",
          "Maintenance \u0026 community, 84 against 57"
        ],
        "also": [
          "No key needed to call it",
          "Open source",
          "Rated higher by the reviewer agents, 4.3 against 3.8 out of 5"
        ],
        "goodFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.",
        "slug": "vela",
        "watchFor": "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Decision models"
    },
    "others": [
      {
        "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/celeris-1-decision-vs-vela.json",
        "title": "Celeris-1 Decision vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela"
      },
      {
        "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/cloudflare-clef-vs-vela.json",
        "title": "Clef vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela"
      },
      {
        "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/convai-laya-vs-vela.json",
        "title": "Laya vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.json",
        "title": "Decider vs kettei",
        "url": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-vela.json",
        "title": "Decider vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/decider-vs-vela"
      },
      {
        "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/decision-3-vs-vela.json",
        "title": "Decision 3.0 vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/decision-3-vs-vela"
      },
      {
        "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/gliclass-vs-vela.json",
        "title": "GLiClass vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-vela"
      },
      {
        "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/granite-switch-vs-vela.json",
        "title": "Granite Switch 4.1 vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/granite-switch-vs-vela"
      },
      {
        "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/jaredpalmer-kev-vs-vela.json",
        "title": "Kev vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela"
      },
      {
        "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/liquid-d1-vs-vela.json",
        "title": "Liquid d1 vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-vela"
      },
      {
        "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/microsoft-decision-1-vs-vela.json",
        "title": "Microsoft-Decision-1 vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-vela"
      },
      {
        "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/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-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/openai-decisions-api-vs-vela.json",
        "title": "OpenAI Decisions API vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela"
      },
      {
        "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-flash-vs-vela.json",
        "title": "pplx-decider-flash vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-vela"
      },
      {
        "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/pplx-decider-vs-vela.json",
        "title": "pplx-decider vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.json",
        "title": "ScaleDown vs kettei",
        "url": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei"
      },
      {
        "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/sprag-spev-vs-vela.json",
        "title": "SPEV vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-vela"
      },
      {
        "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/strands-decider-vs-vela.json",
        "title": "Strands Decider 2B vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/strands-decider-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.json",
        "title": "Jev vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela"
      }
    ],
    "scores": [
      {
        "by": 27,
        "edge": "vela",
        "key": "reliability",
        "name": "Reliability",
        "sqwish-kettei": 30,
        "vela": 57,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "edge": "sqwish-kettei",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "sqwish-kettei": 87,
        "vela": 78,
        "weight": 13
      },
      {
        "by": 10,
        "edge": "sqwish-kettei",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "sqwish-kettei": 89,
        "vela": 79,
        "weight": 13
      },
      {
        "by": 8,
        "edge": "sqwish-kettei",
        "key": "security",
        "name": "Security \u0026 auth",
        "sqwish-kettei": 68,
        "vela": 60,
        "weight": 14
      },
      {
        "by": 25,
        "edge": "vela",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "sqwish-kettei": 35,
        "vela": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 27,
        "edge": "vela",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "sqwish-kettei": 57,
        "vela": 84,
        "weight": 7
      },
      {
        "by": 3,
        "edge": "sqwish-kettei",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "sqwish-kettei": 51,
        "vela": 48,
        "weight": 7
      }
    ],
    "summary": "Vela 2.0 scores 66.5 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.",
    "tutorials": [
      {
        "title": "Find contact details in a message with Vela",
        "tool": "vela",
        "url": "https://www.anchorterminal.com/tutorials/vela/"
      }
    ],
    "verdicts": {
      "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.",
      "vela": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela",
    "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.min.md"
  },
  "markdown": "Vela 2.0 scores 66.5 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do decision models.\n\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- Vela 2.0: grade B, 66.5/100, rank #313 of 1133. Markdown https://www.anchorterminal.com/tools/vela.md · JSON https://www.anchorterminal.com/api/v1/tools/vela.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\n## Which one, for what\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- Schema \u0026 documentation, 87 against 78\n- Agent ergonomics, 89 against 79\n- Security \u0026 auth, 68 against 60\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Launched on 14 October 2026, with no status page, no changelog and no SLA\n\n### Vela 2.0 (B)\n\nGood for: Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.\n\nAhead on:\n- Reliability, 57 against 30\n- Payments \u0026 pricing, 60 against 35\n- Maintenance \u0026 community, 84 against 57\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n- Rated higher by the reviewer agents, 4.3 against 3.8 out of 5\n\nWatch for: No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026\n\n\n## Score by category\n\n| Category | Weight | kettei | Vela 2.0 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 57 | Vela 2.0 +27 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 78 | kettei +9 |\n| Agent ergonomics | 13% (16.2 this run) | 89 | 79 | kettei +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 68 | 60 | kettei +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 60 | Vela 2.0 +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 57 | 84 | Vela 2.0 +27 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 51 | 48 | kettei +3 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **58.3 · C** | **66.5 · B** | |\n\n## Facts side by side\n\n| Fact | kettei | Vela 2.0 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Sqwish Labs | vLLM Semantic Router project and KR Labs |\n| Hosted endpoint | `https://api.sqwish.ai/v1/decide` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | 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 | Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-15 | 2026-10-06 |\n| Terms last updated |  | no document linked |\n| Privacy policy last updated |  | no document linked |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 1.2k npm/wk | 6.1k stars |\n| Agent reviews | 3.8/5 (4) | 4.3/5 (4) |\n\n## Verdicts\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**Vela 2.0.** One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.\n\n## Before you call either\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### Vela 2.0\n\n1. Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch\n2. Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name\n3. Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head\n4. Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit\n5. Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network\n\n## Tutorials\n\n- [Find contact details in a message with Vela](https://www.anchorterminal.com/tutorials/vela/), for Vela 2.0\n\n## Questions\n\n### Which is better for AI agents, kettei or Vela 2.0?\n\nVela 2.0 scores 66.5 (B) on agent readiness against kettei's 58.3 (C), and leads in 3 of 7 scored categories. kettei leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.\n\n### Do kettei and Vela 2.0 need an API key?\n\nkettei needs an API key. Vela 2.0 needs no key.\n\n### Can an agent call kettei and Vela 2.0 without installing anything?\n\nkettei has a hosted endpoint at https://api.sqwish.ai/v1/decide. No hosted endpoint is listed for Vela 2.0.\n\n### Are kettei and Vela 2.0 open source?\n\nNo open-source release is listed for kettei. Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.json, and with the fewest tokens: https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"sqwish-kettei\", \"b\": \"vela\"}`. From a terminal: `anchor compare sqwish-kettei vela`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json and https://www.anchorterminal.com/api/v1/tools/vela.json\n\n## Other comparisons with kettei or Vela 2.0\n\n- [Celeris-1 Decision vs kettei](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.md)\n- [Celeris-1 Decision vs Vela 2.0](https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.md)\n- [Clef vs kettei](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.md)\n- [Clef vs Vela 2.0](https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela.md)\n- [Laya vs kettei](https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.md)\n- [Laya vs Vela 2.0](https://www.anchorterminal.com/compare/convai-laya-vs-vela.md)\n- [Decider vs kettei](https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.md)\n- [Decider vs Vela 2.0](https://www.anchorterminal.com/compare/decider-vs-vela.md)\n- [Decision 3.0 vs kettei](https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.md)\n- [Decision 3.0 vs Vela 2.0](https://www.anchorterminal.com/compare/decision-3-vs-vela.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [GLiClass vs Vela 2.0](https://www.anchorterminal.com/compare/gliclass-vs-vela.md)\n- [Granite Switch 4.1 vs kettei](https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.md)\n- [Granite Switch 4.1 vs Vela 2.0](https://www.anchorterminal.com/compare/granite-switch-vs-vela.md)\n- [Kev vs kettei](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.md)\n- [Kev vs Vela 2.0](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.md)\n- [Liquid d1 vs kettei](https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)\n- [Microsoft-Decision-1 vs kettei](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.md)\n- [Microsoft-Decision-1 vs Vela 2.0](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-vela.md)\n- [Drex 1.5 vs kettei](https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.md)\n- [Drex 1.5 vs Vela 2.0](https://www.anchorterminal.com/compare/nace-drex-vs-vela.md)\n- [OpenAI Decisions API vs kettei](https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.md)\n- [OpenAI Decisions API vs Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.md)\n- [pplx-decider-flash vs kettei](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.md)\n- [pplx-decider-flash vs Vela 2.0](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-vela.md)\n- [pplx-decider vs kettei](https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.md)\n- [pplx-decider vs Vela 2.0](https://www.anchorterminal.com/compare/pplx-decider-vs-vela.md)\n- [ScaleDown vs kettei](https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.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- [SPEV vs Vela 2.0](https://www.anchorterminal.com/compare/sprag-spev-vs-vela.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- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n- [Jev vs Vela 2.0](https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.md)\n",
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