{
  "data": {
    "a": {
      "slug": "liquid-d1",
      "name": "Liquid d1",
      "vendor": "Liquid AI",
      "vendorUrl": "https://www.liquid.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "d1 is Liquid AI's decision model family. It answers typed yes or no, choice and score questions about text and images with probabilities, through a hosted API and the open-weight d1-3B and d1-omni-600M models.",
      "url": "https://www.anchorterminal.com/tools/liquid-d1",
      "markdownUrl": "https://www.anchorterminal.com/tools/liquid-d1.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/liquid-d1.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/liquid-d1.json",
      "repo": "https://huggingface.co/LiquidAI/d1-3B",
      "license": "The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.liquid.ai/decisions/v1/systemone",
      "packages": [],
      "auth": "api-key",
      "authNotes": "A key created at console.liquid.ai under Dashboard, API Keys, after registering and joining an organisation, sent as a Bearer header. Keys start with `liquid_`. No scopes, expiry or rotation were found in the reviewed documentation. The weights download from Hugging Face without an account.",
      "pricing": "freemium",
      "pricingNotes": "The hosted `d1` model costs $0.04 per million input tokens and bills no output tokens, per the launch post of 5 October 2026 (https://www.liquid.ai/blog/d1-decision-model). Each question is billed as its own prompt, and an image counts 1.5 tokens per 32 by 32 pixel patch. A text-only `d1:free` model exists, with no published limits. Liquid's pricing page covers model licensing only. The open weights are free to run, and commercial use is free below $10 million in annual revenue.",
      "priceSummary": "Freemium",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the d1 docs, the launch posts or the terms of service (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.liquid.ai/lfm/models/decision-models",
      "llmsTxt": "https://docs.liquid.ai/llms.txt",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "source-available",
        "self-hosted",
        "llms-txt",
        "free-tier",
        "usage-priced"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 43.5,
        "grade": "E",
        "agentReady": false,
        "rank": 582,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 60,
          "payments": 27,
          "reliability": 21,
          "schema": 59,
          "security": 35,
          "transparency": 54
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.",
        "bestFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.",
        "strengths": [
          "$0.04 per million input tokens with no output tokens billed, per the launch post, and a text-only `d1:free` model",
          "d1-3B (3.12B parameters, 32,768-token context) and d1-omni-600M are ungated on Hugging Face, with GGUF builds",
          "llama.cpp's server README documents `/v1/systemone` for d1, so the same request runs locally",
          "The hosted `d1` model accepts up to 8 images a request as Base64 data",
          "Docs are served as Markdown with an llms.txt index, and say when to use a language model instead"
        ],
        "weaknesses": [
          "The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found",
          "No status page, rate limits, SLA or error reference found for the hosted API",
          "The LFM Open Licence v1.0 ends free commercial use at $10 million in annual revenue, so the weights aren't open source",
          "No OpenAPI file, API changelog or versioned model IDs. The hosted models are `d1` and `d1:free`",
          "No SDK of its own. TypeSafe's SDKs are the documented clients and don't send images"
        ],
        "agentNotes": [
          "POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint",
          "Use `d1` for images. `d1:free` is text-only and answers that it does not accept images",
          "Send images as Base64 data URLs in `images`, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused",
          "Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again",
          "Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 43.5
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 60,
          "payments": 27,
          "reliability": 21,
          "schema": 59,
          "security": 35,
          "transparency": 46
        },
        "provenanceScore": 62
      },
      "connect": {
        "install": "pip install typesafe-sdk   # or: npm install @typesafe-ai/sdk",
        "http": "curl -s https://api.liquid.ai/decisions/v1/systemone \\\n  -H \"Authorization: Bearer $LIQUID_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"d1\",\"state\":\"I have been waiting over three weeks for my order and nobody has responded to my emails.\",\"questions\":{\"is_complaint\":{\"type\":\"noul\",\"instructions\":\"Is this message a complaint from the customer?\"}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/liquid-d1"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "d1 input",
          "unit": "1m-tokens",
          "usd": 0.04,
          "note": "No output tokens. Each question is billed as its own prompt, images at 1.5 tokens per 32 by 32 pixel patch"
        }
      ],
      "provenance": {
        "legalEntity": "Liquid AI, Inc.",
        "domain": "liquid.ai",
        "domainRegistered": "2017-12-16",
        "endpointOnVendorDomain": true,
        "terms": "https://www.liquid.ai/terms-conditions",
        "privacy": "https://www.liquid.ai/privacy-policy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The terms of service (updated 30 September 2026) name Liquid AI, Inc., a Delaware corporation, and Massachusetts law. The privacy policy carries the same date.",
          "RDAP gives liquid.ai a registration date of 16 December 2017 and a transfer on 20 April 2023. The site footer says the company was established in 2023.",
          "The hosted endpoint is on api.liquid.ai. The weights sit on huggingface.co under the LiquidAI organisation.",
          "/.well-known/security.txt returned 404 on www.liquid.ai, liquid.ai and api.liquid.ai.",
          "No status page is linked from the site, the docs or the launch posts, and status.liquid.ai did not answer our reader. No changelog for the API or the docs was found. docs.liquid.ai/changelog returned 404.",
          "A trust centre at trust.liquid.ai is hosted by Vanta and renders only with JavaScript, so its contents are unread."
        ],
        "score": 62
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/liquid-d1.json",
      "live": {
        "slug": "liquid-d1",
        "probe": {
          "target": "https://api.liquid.ai/decisions/v1/systemone",
          "method": "get",
          "lastAt": "2026-10-08T19:08:51.964465194Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 233,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 166,
          "p95ms24h": 391,
          "samples24h": 42,
          "samples30d": 42,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 42,
              "ok": 42
            }
          ]
        },
        "securityTxt": {
          "url": "https://liquid.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:08.129742302Z"
        },
        "pages": [
          {
            "url": "https://www.liquid.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:45.318974429Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "42d9e4ba3a39"
          },
          {
            "url": "https://www.liquid.ai/terms-conditions",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:28:47.564454912Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8fd8f3573ffc"
          }
        ],
        "updatedAt": "2026-10-08T19:08:51.964465194Z"
      }
    },
    "answer": "Jev scores 62.1 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on payments \u0026 pricing.",
    "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": 309,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 6,
        "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": "2026-10-08T19:09:00.857197948Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 201,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 193,
          "p95ms24h": 294,
          "samples24h": 272,
          "samples30d": 1676,
          "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": 217,
              "ok": 217
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.typesafe.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-08T17:51:16.516148801Z"
        },
        "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"
          }
        ],
        "updatedAt": "2026-10-08T19:09:00.857197948Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Liquid AI",
        "b": "TypeSafe AI",
        "name": "Vendor"
      },
      {
        "a": "https://api.liquid.ai/decisions/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": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published",
        "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": "2026-10-07",
        "b": "2026-09-26",
        "name": "Last release"
      },
      {
        "a": "2026-09-30",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-30",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "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": "not found in the text",
        "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 Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Liquid d1 or Jev?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Liquid d1 and Jev need an API key?"
      },
      {
        "answer": "Yes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone and Jev at https://api.typesafe.ai/v1/systemone.",
        "question": "Can an agent call Liquid d1 and Jev without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 27 against 20"
        ],
        "also": null,
        "goodFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.",
        "slug": "liquid-d1",
        "watchFor": "The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found"
      },
      {
        "aheadOn": [
          "Reliability, 60 against 21",
          "Schema \u0026 documentation, 87 against 59",
          "Agent ergonomics, 84 against 63",
          "Security \u0026 auth, 53 against 35"
        ],
        "also": null,
        "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.",
        "slug": "typesafe-jev",
        "watchFor": "Early access behind a waitlist, with no free tier or free credits found"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Inference decision"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1.json",
        "title": "Clef vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.json",
        "title": "Clef vs Jev",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.json",
        "title": "Laya vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.json",
        "title": "Laya vs Jev",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.json",
        "title": "Kev vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.json",
        "title": "Kev vs Jev",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.json",
        "title": "Liquid d1 vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json",
        "title": "Liquid d1 vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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/openai-decisions-api-vs-typesafe-jev.json",
        "title": "OpenAI Decisions API vs Jev",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.json",
        "title": "Strands Decider 2B vs Jev",
        "url": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.json",
        "title": "Jev vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela"
      }
    ],
    "scores": [
      {
        "by": 39,
        "edge": "typesafe-jev",
        "key": "reliability",
        "liquid-d1": 21,
        "name": "Reliability",
        "typesafe-jev": 60,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 28,
        "edge": "typesafe-jev",
        "key": "schema",
        "liquid-d1": 59,
        "name": "Schema \u0026 documentation",
        "typesafe-jev": 87,
        "weight": 13
      },
      {
        "by": 21,
        "edge": "typesafe-jev",
        "key": "ergonomics",
        "liquid-d1": 63,
        "name": "Agent ergonomics",
        "typesafe-jev": 84,
        "weight": 13
      },
      {
        "by": 18,
        "edge": "typesafe-jev",
        "key": "security",
        "liquid-d1": 35,
        "name": "Security \u0026 auth",
        "typesafe-jev": 53,
        "weight": 14
      },
      {
        "by": 7,
        "edge": "liquid-d1",
        "key": "payments",
        "liquid-d1": 27,
        "name": "Payments \u0026 pricing",
        "typesafe-jev": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 4,
        "edge": "typesafe-jev",
        "key": "maintenance",
        "liquid-d1": 60,
        "name": "Maintenance \u0026 community",
        "typesafe-jev": 64,
        "weight": 7
      },
      {
        "by": 2,
        "edge": "typesafe-jev",
        "key": "transparency",
        "liquid-d1": 54,
        "name": "Transparency \u0026 trust",
        "typesafe-jev": 56,
        "weight": 7
      }
    ],
    "summary": "Jev scores 62.1 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on payments \u0026 pricing. Both do inference decision.",
    "verdicts": {
      "liquid-d1": "The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.",
      "typesafe-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."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev",
    "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md",
    "slim": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.min.md"
  },
  "markdown": "Jev scores 62.1 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on payments \u0026 pricing. Both do inference decision.\n\n- Liquid d1: grade E, 43.5/100, rank #582 of 629. Markdown https://www.anchorterminal.com/tools/liquid-d1.md · JSON https://www.anchorterminal.com/api/v1/tools/liquid-d1.json\n- Jev: grade B, 62.1/100, rank #309 of 629. 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### Liquid d1 (E)\n\nGood for: Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.\n\nAhead on:\n- Payments \u0026 pricing, 27 against 20\n\nWatch for: The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found\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 21\n- Schema \u0026 documentation, 87 against 59\n- Agent ergonomics, 84 against 63\n- Security \u0026 auth, 53 against 35\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 | Liquid d1 | Jev | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 21 | 60 | Jev +39 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 59 | 87 | Jev +28 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 84 | Jev +21 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 53 | Jev +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 27 | 20 | Liquid d1 +7 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 60 | 64 | Jev +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 56 | Jev +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **43.5 · E** | **62.1 · B** | |\n\n## Facts side by side\n\n| Fact | Liquid d1 | Jev |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Liquid AI | TypeSafe AI |\n| Hosted endpoint | `https://api.liquid.ai/decisions/v1/systemone` | `https://api.typesafe.ai/v1/systemone` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published | 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 | 2026-10-07 | 2026-09-26 |\n| Terms last updated | 2026-09-30 | no date given |\n| Privacy policy last updated | 2026-09-30 | no date given |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | 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**Liquid d1.** The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.\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### Liquid d1\n\n1. POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint\n2. Use `d1` for images. `d1:free` is text-only and answers that it does not accept images\n3. Send images as Base64 data URLs in `images`, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused\n4. Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again\n5. Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data\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, Liquid d1 or Jev?\n\nJev scores 62.1 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on payments \u0026 pricing.\n\n### Do Liquid d1 and Jev need an API key?\n\nBoth need an API key.\n\n### Can an agent call Liquid d1 and Jev without installing anything?\n\nYes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/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/liquid-d1-vs-typesafe-jev.json, and with the fewest tokens: https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"liquid-d1\", \"b\": \"typesafe-jev\"}`. From a terminal: `anchor compare liquid-d1 typesafe-jev`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/liquid-d1.json and https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n\n## Other comparisons with Liquid d1 or Jev\n\n- [Clef vs Liquid d1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1.md)\n- [Clef vs Jev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.md)\n- [Laya vs Liquid d1](https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.md)\n- [Laya vs Jev](https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.md)\n- [Kev vs Jev](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.md)\n- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.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",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-08",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.4",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Compare",
        "url": "https://www.anchorterminal.com/compare/"
      },
      {
        "name": "Liquid d1 vs Jev",
        "url": ""
      }
    ],
    "description": "Jev scores 62.1 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on payments \u0026 pricing. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.",
    "facts": [
      "Liquid d1 E 43.5",
      "Jev B 62.1",
      "scores"
    ],
    "h1": "Liquid d1 vs Jev",
    "image": "https://www.anchorterminal.com/assets/og/compare-liquid-d1-vs-typesafe-jev.png",
    "path": "/compare/liquid-d1-vs-typesafe-jev",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Liquid d1 vs Jev for AI agents, E 43.5 vs B 62.1 | Anchor Terminal",
    "toc": null,
    "updated": "2026-10-08",
    "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev"
  },
  "tokens": {
    "markdown": 2050,
    "slim": 730
  },
  "version": 1
}