{
  "data": {
    "a": {
      "slug": "celeris-1-decision",
      "name": "Celeris-1 Decision",
      "vendor": "Celeris (Marqo Inc)",
      "vendorUrl": "https://celeris.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "Celeris-1 Decision is a hosted multimodal diffusion model from Celeris, a Marqo Inc research lab. Its HTTP API answers typed questions about text, structured data and images with probabilities and optional explanations.",
      "url": "https://www.anchorterminal.com/tools/celeris-1-decision",
      "markdownUrl": "https://www.anchorterminal.com/tools/celeris-1-decision.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/celeris-1-decision.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json",
      "license": "Proprietary hosted model under Celeris terms of service",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://inference.celeris.ai/celeris-1-decision/v1/systemone",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Bearer ck_ API key from an activated workspace. Signup, a payment method and prepaid credit are required. Keys can be created, rotated and revoked in the console; changes can take one minute. Keys share workspace credit, with no per-key limits. Activation is usually immediate but can queue when capacity is full.",
      "pricing": "usage",
      "pricingNotes": "$0.04 per million input tokens, including cached input, with output tokens free. Images and request overhead count as input. Card-funded purchases start at $5 and credit expires after 30 days. No card-free tier was found. Requests still processing after disconnection may be charged. Executed order forms can override self-service terms.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 interface found in the reviewed pricing and API documentation on 9 October 2026. HTTP 402 means exhausted prepaid credit.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://docs.celeris.ai/decisions",
      "llmsTxt": "https://docs.celeris.ai/llms.txt",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "multimodal",
        "llms-txt",
        "usage-priced",
        "status-page",
        "beta"
      ],
      "lastRelease": "2026-10-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 49.3,
        "grade": "D",
        "agentReady": false,
        "rank": 708,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 40,
          "payments": 20,
          "reliability": 40,
          "schema": 60,
          "security": 45,
          "transparency": 53
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "Typed probabilities, image inputs and optional explanations suit routing and classification inside an agent. Both System One and OpenAI Decisions request formats are documented. The service remains early access under its terms, activation can queue, and prepaid credit expires after 30 days. The published accuracy and latency figures are Celeris measurements, not Anchor Terminal tests.",
        "bestFor": "Multimodal classification, routing and bounded decisions with probabilities and optional explanations",
        "strengths": [
          "Typed binary, choice and score answers, with multiple questions about one state per request",
          "Text, JSON and images through System One, with optional explanations",
          "Decision inputs cost $0.04 per million tokens and outputs are free",
          "Markdown documentation, error recovery guidance and revocable workspace keys"
        ],
        "weaknesses": [
          "Early-access terms and capacity-dependent workspace activation",
          "Prepaid credit expires after 30 days, with a $5 minimum card purchase",
          "No numeric request-rate guarantee or decision-model context window found",
          "No explicit API training exclusion or prompt-retention period found in the reviewed policies",
          "Closed weights and no fine-tuning in this release"
        ],
        "agentNotes": [
          "Use the decision model path and matching model field. This model has no chat, Responses or models endpoint.",
          "Use at most 512 questions per request, or 64 with explanations. Both endpoints reject streaming.",
          "Preserve x_celeris in a custom Jev SDK response model when reading explanations. The default response type drops it.",
          "Retry 429 with Retry-After and backoff. Stop on 402 until workspace credit is replenished.",
          "Read usage.input_tokens for cost, including images and request overhead. Track credit expiry separately from token consumption."
        ],
        "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": 49.3
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 40,
          "payments": 20,
          "reliability": 40,
          "schema": 60,
          "security": 45,
          "transparency": 45
        },
        "provenanceScore": 61
      },
      "connect": {
        "http": "curl https://inference.celeris.ai/celeris-1-decision/v1/systemone \\\n  -H \"Authorization: Bearer $CELERIS_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"celeris-1-decision\",\"state\":\"The customer requests a refund for a duplicate charge.\",\"questions\":{\"refund\":{\"type\":\"noul\",\"instructions\":\"The customer is asking for a refund.\"}},\"x_celeris\":{\"explain\":true}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/celeris-1-decision"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Decision input",
          "unit": "1m-tokens",
          "usd": 0.04,
          "note": "Includes cached input and image tokens. Prepaid credit expires after 30 days."
        },
        {
          "item": "Decision output",
          "unit": "1m-tokens",
          "usd": 0,
          "note": "Includes optional explanations."
        }
      ],
      "provenance": {
        "legalEntity": "Marqo Inc",
        "domain": "celeris.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://celeris.ai/terms",
        "privacy": "https://celeris.ai/privacy",
        "statusPage": "https://status.celeris.ai/",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "Terms dated 8 September 2026 and privacy notice dated 23 July 2026 name Marqo Inc operating as Celeris.",
          "No dedicated decision-model changelog or dated deprecation policy found.",
          "The public status history records an 11-hour-20-minute outage for the separate Celeris-1 model on 19 August 2026. It predates this decision model and is not counted as its outage.",
          "The standard well-known security.txt and docs OpenAPI JSON addresses returned HTTP 404. Domain registration was not checked."
        ],
        "score": 61
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/celeris-1-decision.json",
      "live": {
        "slug": "celeris-1-decision",
        "probe": {
          "target": "https://inference.celeris.ai/celeris-1-decision/v1/systemone",
          "method": "get",
          "lastAt": "2026-10-09T11:46:25.06310241Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 341,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 343,
          "p95ms24h": 515,
          "samples24h": 24,
          "samples30d": 24,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 24,
              "ok": 24
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.celeris.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T09:35:43.34493788Z"
        },
        "updatedAt": "2026-10-09T11:46:25.06310241Z"
      }
    },
    "answer": "Jev scores 62.1 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "typesafe-jev",
      "name": "Jev",
      "vendor": "TypeSafe AI",
      "vendorUrl": "https://typesafe.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "Jev is TypeSafe AI's first System One model, a closed decision model behind an HTTP API.",
      "url": "https://www.anchorterminal.com/tools/typesafe-jev",
      "markdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json",
      "repo": "https://github.com/typesafe-ai/typesafe-sdk-python",
      "license": "Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.typesafe.ai/v1/systemone",
      "packages": [
        {
          "registry": "pypi",
          "name": "typesafe-sdk"
        },
        {
          "registry": "npm",
          "name": "@typesafe-ai/sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API key in the `Authorization` header, created at console.typesafe.ai/keys after signing in. The SDKs read `TYPESAFE_API_KEY`. We found no documentation of key scopes, expiry or rotation.",
      "pricing": "usage",
      "pricingNotes": "Jev 1.13 costs $0.042 per million input tokens ($42 per billion), and output tokens are free (https://docs.typesafe.ai/models). Jev is in early access with a waitlist, and we found no free tier or free credits. Credits bought under the Master Customer Agreement expire 12 months after purchase and aren't refunded on termination (https://typesafe.ai/legal/mca). Higher rate limits come with custom and enterprise plans, and zero data retention is arranged with sales.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the SDKs (checked 2026-10-02).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 15,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-02"
      },
      "docsUrl": "https://docs.typesafe.ai/introduction",
      "llmsTxt": "https://docs.typesafe.ai/llms.txt",
      "openapi": "https://api.typesafe.ai/openapi.json",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "openapi",
        "llms-txt",
        "python",
        "typescript",
        "usage-priced",
        "status-page",
        "beta"
      ],
      "lastRelease": "2026-09-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 62.1,
        "grade": "B",
        "agentReady": false,
        "rank": 400,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 7,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 84,
          "maintenance": 64,
          "payments": 20,
          "reliability": 60,
          "schema": 87,
          "security": 53,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.",
        "bestFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.",
        "strengths": [
          "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse",
          "$0.042 per million input tokens, with output tokens free",
          "A public OpenAPI 3.1 document, llms.txt with Markdown twins, and Python and TypeScript SDKs that retry 408, 429 and 5xx with backoff",
          "A known-limitations page that warns injected instructions can move an answer and lists what Jev can't do, such as counting, arithmetic and date comparison",
          "The privacy policy, DPA and customer agreement agree that customer data isn't used for training"
        ],
        "weaknesses": [
          "Early access behind a waitlist, with no free tier or free credits found",
          "No SLA, and the customer agreement promises only commercially reasonable efforts to give notice of API changes",
          "Published limits of 40 requests a second can change without notice",
          "No security.txt and no stated retention period, and the trust centre and subprocessor list render only with JavaScript",
          "Closed and text only, with 32,000 tokens for state plus the longest question"
        ],
        "agentNotes": [
          "Put every independent question about one state into a single call. They run in parallel and the state is billed once",
          "Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds",
          "Back off exponentially on 429 and 529. The limits move with demand",
          "Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens",
          "Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 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": 62.1
          }
        ],
        "editorialScores": {
          "ergonomics": 84,
          "maintenance": 64,
          "payments": 20,
          "reliability": 60,
          "schema": 87,
          "security": 53,
          "transparency": 41
        },
        "provenanceScore": 70
      },
      "connect": {
        "install": "pip install typesafe-sdk   # or: npm install @typesafe-ai/sdk",
        "http": "curl https://api.typesafe.ai/v1/systemone \\\n  -H \"Authorization: Bearer $TYPESAFE_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"jev-latest\",\"state\":\"Checkout has failed for every customer for an hour.\",\"questions\":{\"urgent\":{\"type\":\"noul\",\"instructions\":\"Is this request urgent?\"},\"team\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"Payments and refunds\",\"technical\":\"Outages and errors\"}}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/typesafe-jev"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Jev 1.13 input",
          "unit": "1m-tokens",
          "usd": 0.042,
          "note": "Output tokens free"
        }
      ],
      "provenance": {
        "legalEntity": "TypeSafe AI, Inc.",
        "domain": "typesafe.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://typesafe.ai/legal/mca",
        "privacy": "https://typesafe.ai/legal/privacy-policy",
        "statusPage": "https://status.typesafe.ai",
        "changelog": "https://docs.typesafe.ai/sdk/python/changelog",
        "securityTxt": "none",
        "checked": "2026-10-01",
        "notes": [
          "The Master Customer Agreement (updated 23 September 2026) governs use of the API. The site's terms of use (19 September 2026) name TypeSafe AI, Inc. and Delaware law.",
          "typesafe.ai/.well-known/security.txt returns 404.",
          "We couldn't read the domain's registration date, since RDAP refused our reader.",
          "The changelog is the Python SDK's. We found no changelog for the API or the model."
        ],
        "score": 70
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/typesafe-jev.json",
      "live": {
        "slug": "typesafe-jev",
        "probe": {
          "target": "https://api.typesafe.ai/v1/systemone",
          "method": "get",
          "lastAt": "2026-10-09T11:46:44.163077103Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 228,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 190,
          "p95ms24h": 259,
          "samples24h": 259,
          "samples30d": 1852,
          "days": [
            {
              "date": "2026-10-02",
              "probes": 100,
              "ok": 100
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 125,
              "ok": 125
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.typesafe.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:37.265872388Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "typesafe-ai/typesafe-sdk-python",
            "version": "v0.7.2",
            "released": "2026-09-26",
            "seenAt": "2026-10-08T16:33:07.561621607Z"
          },
          {
            "registry": "npm",
            "name": "@typesafe-ai/sdk",
            "version": "0.6.0",
            "seenAt": "2026-10-08T16:33:07.140594035Z"
          },
          {
            "registry": "pypi",
            "name": "typesafe-sdk",
            "version": "0.7.2",
            "released": "2026-09-26",
            "seenAt": "2026-10-08T16:33:06.953697003Z"
          }
        ],
        "githubStars": 276,
        "npmWeekly": 1500722,
        "pypiWeekly": 1035871,
        "securityTxt": {
          "url": "https://typesafe.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:47.390293407Z"
        },
        "llmsTxt": {
          "url": "https://docs.typesafe.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:57.169110601Z"
        },
        "domain": {
          "domain": "typesafe.ai",
          "registered": "2024-05-07",
          "source": "https://rdap.identitydigital.services/rdap/domain/typesafe.ai",
          "checkedAt": "2026-10-04T13:08:19.224445149Z"
        },
        "pages": [
          {
            "url": "https://docs.typesafe.ai/sdk/python/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:19:40.416326003Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "1652185fb0d5"
          },
          {
            "url": "https://typesafe.ai/legal/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:25:25.567047812Z",
            "changedAt": "2026-10-08T18:25:25.567047812Z",
            "fingerprint": "afc3649e2f1b"
          },
          {
            "url": "https://typesafe.ai/legal/mca",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:25:23.25255997Z",
            "changedAt": "2026-10-08T18:25:23.25255997Z",
            "fingerprint": "e32b05842307"
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        ],
        "updatedAt": "2026-10-09T11:46:44.163077103Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Celeris (Marqo Inc)",
        "b": "TypeSafe AI",
        "name": "Vendor"
      },
      {
        "a": "https://inference.celeris.ai/celeris-1-decision/v1/systemone",
        "b": "https://api.typesafe.ai/v1/systemone",
        "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": "free",
        "b": "not published",
        "name": "Price for inference decision"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary hosted model under Celeris terms of service",
        "b": "Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-08",
        "b": "2026-09-26",
        "name": "Last release"
      },
      {
        "a": "2026-09-08",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2026-07-23",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "15 stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Jev scores 62.1 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, Celeris-1 Decision or Jev?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Celeris-1 Decision and Jev need an API key?"
      },
      {
        "answer": "Yes. Celeris-1 Decision has a hosted endpoint at https://inference.celeris.ai/celeris-1-decision/v1/systemone and Jev at https://api.typesafe.ai/v1/systemone.",
        "question": "Can an agent call Celeris-1 Decision and Jev without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": null,
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          "Reliability, 60 against 40",
          "Schema \u0026 documentation, 87 against 60",
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          "Maintenance \u0026 community, 64 against 40"
        ],
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        "goodFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.",
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      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.json",
        "title": "Celeris-1 Decision vs Laya",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya"
      },
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.json",
        "title": "Celeris-1 Decision vs Decider",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider"
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      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.json",
        "title": "Celeris-1 Decision vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass"
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      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.json",
        "title": "Celeris-1 Decision vs Kev",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1.json",
        "title": "Celeris-1 Decision vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api.json",
        "title": "Celeris-1 Decision vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api"
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      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.json",
        "title": "Celeris-1 Decision vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider"
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      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.json",
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        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela"
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      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.json",
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        "json": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.json",
        "title": "Jev vs Vela 2.0",
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        "typesafe-jev": 60,
        "weight": 16
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        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
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        "celeris-1-decision": 60,
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        "name": "Schema \u0026 documentation",
        "typesafe-jev": 87,
        "weight": 13
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        "typesafe-jev": 84,
        "weight": 13
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        "celeris-1-decision": 45,
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        "typesafe-jev": 53,
        "weight": 14
      },
      {
        "by": 0,
        "celeris-1-decision": 20,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "typesafe-jev": 20,
        "weight": 10
      },
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        "name": "Task success",
        "pending": true,
        "weight": 10
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        "celeris-1-decision": 40,
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        "key": "maintenance",
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        "typesafe-jev": 64,
        "weight": 7
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        "edge": "typesafe-jev",
        "key": "transparency",
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      "celeris-1-decision": "Typed probabilities, image inputs and optional explanations suit routing and classification inside an agent. Both System One and OpenAI Decisions request formats are documented. The service remains early access under its terms, activation can queue, and prepaid credit expires after 30 days. The published accuracy and latency figures are Celeris measurements, not Anchor Terminal tests.",
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  "markdown": "Jev scores 62.1 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 6 of 7 scored categories. Both do inference decision.\n\n- Celeris-1 Decision: grade D, 49.3/100, rank #708 of 842. Markdown https://www.anchorterminal.com/tools/celeris-1-decision.md · JSON https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json\n- Jev: grade B, 62.1/100, rank #400 of 842. Markdown https://www.anchorterminal.com/tools/typesafe-jev.md · JSON https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n\n## Which one, for what\n\n### Celeris-1 Decision (D)\n\nGood for: Multimodal classification, routing and bounded decisions with probabilities and optional explanations\n\nWatch for: Early-access terms and capacity-dependent workspace activation\n\n### Jev (B)\n\nGood for: High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.\n\nAhead on:\n- Reliability, 60 against 40\n- Schema \u0026 documentation, 87 against 60\n- Security \u0026 auth, 53 against 45\n- Maintenance \u0026 community, 64 against 40\n\nWatch for: Early access behind a waitlist, with no free tier or free credits found\n\n\n## Score by category\n\n| Category | Weight | Celeris-1 Decision | Jev | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 60 | Jev +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 87 | Jev +27 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 84 | Jev +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 53 | Jev +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 64 | Jev +24 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 56 | Jev +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **49.3 · D** | **62.1 · B** | |\n\n## Facts side by side\n\n| Fact | Celeris-1 Decision | Jev |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Celeris (Marqo Inc) | TypeSafe AI |\n| Hosted endpoint | `https://inference.celeris.ai/celeris-1-decision/v1/systemone` | `https://api.typesafe.ai/v1/systemone` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for inference decision | free | not published |\n| x402 | no | no |\n| Licence | Proprietary hosted model under Celeris terms of service | Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-09-26 |\n| Terms last updated | 2026-09-08 | no date given |\n| Privacy policy last updated | 2026-07-23 | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 15 stars |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\n\n**Celeris-1 Decision.** Typed probabilities, image inputs and optional explanations suit routing and classification inside an agent. Both System One and OpenAI Decisions request formats are documented. The service remains early access under its terms, activation can queue, and prepaid credit expires after 30 days. The published accuracy and latency figures are Celeris measurements, not Anchor Terminal tests.\n\n**Jev.** Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.\n\n## Before you call either\n\n### Celeris-1 Decision\n\n1. Use the decision model path and matching model field. This model has no chat, Responses or models endpoint.\n2. Use at most 512 questions per request, or 64 with explanations. Both endpoints reject streaming.\n3. Preserve x_celeris in a custom Jev SDK response model when reading explanations. The default response type drops it.\n4. Retry 429 with Retry-After and backoff. Stop on 402 until workspace credit is replenished.\n5. Read usage.input_tokens for cost, including images and request overhead. Track credit expiry separately from token consumption.\n\n### Jev\n\n1. Put every independent question about one state into a single call. They run in parallel and the state is billed once\n2. Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds\n3. Back off exponentially on 429 and 529. The limits move with demand\n4. Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens\n5. Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger\n\n## Questions\n\n### Which is better for AI agents, Celeris-1 Decision or Jev?\n\nJev scores 62.1 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 6 of 7 scored categories.\n\n### Do Celeris-1 Decision and Jev need an API key?\n\nBoth need an API key.\n\n### Can an agent call Celeris-1 Decision and Jev without installing anything?\n\nYes. Celeris-1 Decision has a hosted endpoint at https://inference.celeris.ai/celeris-1-decision/v1/systemone and Jev at https://api.typesafe.ai/v1/systemone.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/celeris-1-decision-vs-typesafe-jev.json, and with the fewest tokens: https://www.anchorterminal.com/compare/celeris-1-decision-vs-typesafe-jev.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"celeris-1-decision\", \"b\": \"typesafe-jev\"}`. From a terminal: `anchor compare celeris-1-decision typesafe-jev`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json and https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n\n## Other comparisons with Celeris-1 Decision or Jev\n\n- [Celeris-1 Decision vs Clef](https://www.anchorterminal.com/compare/celeris-1-decision-vs-cloudflare-clef.md)\n- [Celeris-1 Decision vs Laya](https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.md)\n- [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md)\n- [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.md)\n- [Celeris-1 Decision vs Kev](https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.md)\n- [Celeris-1 Decision vs Liquid d1](https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1.md)\n- [Celeris-1 Decision vs OpenAI Decisions API](https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api.md)\n- [Celeris-1 Decision vs Strands Decider 2B](https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.md)\n- [Celeris-1 Decision vs Vela 2.0](https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.md)\n- [Clef vs Jev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.md)\n- [Laya vs Jev](https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.md)\n- [Decider vs Jev](https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.md)\n- [GLiClass vs Jev](https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.md)\n- [Kev vs Jev](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.md)\n- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md)\n- [OpenAI Decisions API vs Jev](https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Jev vs Vela 2.0](https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.md)\n",
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