{ "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 the hosted d1 and d1-ultra models and the open-weight d1-3B and d1-omni-600M.", "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": "On the hosted API `d1` costs $0.02 and `d1-ultra` $0.042 per million input tokens, with no output tokens billed, per Liquid's pricing page on 17 October 2026 (https://www.liquid.ai/pricing). The 8 October check read $0.04 for d1 in its launch post, which no longer states a price. Each question is billed as its own prompt, and an image counts 1.5 tokens per 32 by 32 pixel patch. Every new organisation gets $2 in free credit. OpenRouter and Vercel AI Gateway charge the same. 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": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 44.8, "grade": "E", "agentReady": false, "rank": 1062, "ranked": true, "rankOf": 1244, "categoryRank": 20, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 60, "payments": 35, "reliability": 21, "schema": 59, "security": 35, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "The hosted API costs $0.02 per million input tokens for d1 and $0.042 for d1-ultra, 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.", "bestFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, with d1-ultra for harder cases, or on your own hardware with d1-3B where data can't leave.", "strengths": [ "$0.02 per million input tokens for d1 and $0.042 for d1-ultra, with no output tokens billed, and $2 of free credit for a new organisation", "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` and `d1-ultra` models accept 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, versioned model IDs or API changelog. d1's price cut and the removal of `d1:free` from the docs carry no dated entry", "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`, or `d1-ultra` for harder decisions at $0.042 against $0.02 per million input tokens. `d1:free` is no longer documented", "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": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 44.8 } ], "editorialScores": { "ergonomics": 63, "maintenance": 60, "payments": 35, "reliability": 21, "schema": 59, "security": 35, "transparency": 46 }, "provenanceScore": 67, "checked": { "categories": { "ergonomics": "2026-10-17", "maintenance": "2026-10-17", "payments": "2026-10-17", "reliability": "2026-10-17", "schema": "2026-10-17", "security": "2026-10-17", "transparency": "2026-10-17" }, "last": "2026-10-17", "lastMoved": "2026-10-27", "oldest": "2026-10-17", "stale": false, "staleAfterDays": 90 } }, "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" }, "sameCompany": [ "lfm2-5-2-6b" ], "family": { "lab": "Liquid AI", "family": "d1", "url": "https://www.anchorterminal.com/open-weights/#liquid", "others": [ { "name": "d1-omni-600M", "url": "https://huggingface.co/LiquidAI/d1-omni-600M", "params": "600M (Hub safetensors count 587M)", "listing": "https://www.anchorterminal.com/tools/liquid-d1" } ] }, "area": "models", "unitPrices": [ { "item": "d1 input", "unit": "1m-tokens", "usd": 0.02, "note": "No output tokens. Each question is billed as its own prompt, images at 1.5 tokens per 32 by 32 pixel patch" }, { "item": "d1-ultra input", "unit": "1m-tokens", "usd": 0.042, "note": "No output tokens. Same billing rules as d1" } ], "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": 67 }, "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": "2026-10-31T05:26:05.239658373Z", "lastOk": true, "lastStatus": 401, "lastMs": 120, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 99.96, "p50ms24h": 141, "p95ms24h": 402, "samples24h": 250, "samples30d": 5663, "days": [ { "date": "2026-10-08", "probes": 93, "ok": 93 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 247 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 247 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 57, "ok": 57 } ] }, "securityTxt": { "url": "https://liquid.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-30T15:38:46.813054829Z" }, "llmsTxt": { "url": "https://docs.liquid.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-30T15:07:51.783132043Z" }, "domain": { "domain": "liquid.ai", "registered": "2017-12-16", "source": "https://rdap.identitydigital.services/rdap/domain/liquid.ai", "checkedAt": "2026-10-25T14:01:59.325890117Z" }, "pages": [ { "url": "https://www.liquid.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-30T05:57:20.356128145Z", "changedAt": "2026-10-29T05:24:29.256760112Z", "fingerprint": "09a966dd5df9" }, { "url": "https://www.liquid.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-30T05:57:23.266060018Z", "changedAt": "2026-10-28T04:51:55.015446908Z", "fingerprint": "d33709c26a7b" }, { "url": "https://www.liquid.ai/terms-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-30T05:57:24.689687699Z", "changedAt": "2026-10-28T04:51:57.090495026Z", "fingerprint": "50c57e852bd0" } ], "updatedAt": "2026-10-31T05:26:05.239658373Z" } }, "answer": "RightNow System Zero scores 66.8 (B) on agent readiness against Liquid d1's 44.8 (E), and leads in every scored category.", "b": { "slug": "rightnow-system-zero", "name": "RightNow System Zero", "vendor": "RightNow AI, Inc.", "vendorUrl": "https://www.rightnowai.co", "kind": "model", "category": "decision-models", "summary": "RightNow System Zero is a hosted, closed-weight decision model from RightNow AI, Inc. It answers boolean, choice and score questions about text, JSON, images, WAV audio and PDFs with per-option probabilities, over HTTP or a WebSocket stream.", "url": "https://www.anchorterminal.com/tools/rightnow-system-zero", "markdownUrl": "https://www.anchorterminal.com/tools/rightnow-system-zero.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/rightnow-system-zero.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/rightnow-system-zero.json", "repo": "https://github.com/RightNow-AI/system-zero-sdk", "license": "Proprietary hosted model under RightNow AI terms of use; the SDKs are Apache-2.0", "transports": [ "http", "websocket" ], "remoteUrl": "https://api.rightnowai.co/v1/system-zero/decide", "packages": [ { "registry": "npm", "name": "@rightnowai/system-zero" }, { "registry": "pypi", "name": "rightnow-system-zero" } ], "auth": "api-key", "authNotes": "Bearer workspace API key in the Authorization header, created in the console after signing in with Google, GitHub or email and passing a human check. Keys are shown once, revocable and unscoped. HTTPS and server side only, and the stream authenticates on the WebSocket upgrade. A call without a key returns 401 invalid_api_key.", "pricing": "usage", "pricingNotes": "Prepaid credit at USD 0.19 per million uncached text tokens (USD 0.019 cached), USD 0.00013 per answered question and USD 0.000055 per answered call, with output free and separate image, audio, PDF and preview video fees (price card G, 27 October 2026). USD 5 of starting credit per verified email, with eligibility checks and no card. Top-ups start at USD 5 and purchased credit expires after 12 months. Refused questions aren't charged.", "priceSummary": "$0.0001 / tx", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, OpenAPI file or SDKs read on 31 October 2026. HTTP 402 insufficient_credits means the workspace's prepaid balance doesn't cover the call.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-31" }, "docsUrl": "https://www.rightnowai.co/docs/system-zero", "llmsTxt": "https://www.rightnowai.co/llms.txt", "openapi": "https://raw.githubusercontent.com/RightNow-AI/system-zero-sdk/main/openapi.json", "capabilities": [ "inference.decision" ], "tags": [ "hosted", "model", "closed-source", "multimodal", "streaming", "websocket", "llms-txt", "openapi", "typescript", "python", "usage-priced", "prepaid", "no-card", "security-txt", "new" ], "lastRelease": "2026-10-27", "graded": true, "anchor": { "graded": true, "score": 66.8, "grade": "B", "agentReady": false, "rank": 320, "ranked": true, "rankOf": 1244, "categoryRank": 9, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 86, "maintenance": 68, "payments": 40, "reliability": 50, "schema": 83, "security": 70, "transparency": 70 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-31" }, "negative": 0, "verdict": "A well-documented decision API with an OpenAPI file, idempotent retries, a detailed error catalogue, streaming over WebSocket and published per-unit prices with USD 5 of starting credit. Standard context is 38,000 tokens; the 64k, 128k and 1M bands are held and video is a preview. The latency and benchmark figures are RightNow's own, and several of its pages disagree.", "bestFor": "Typed decisions with per-option probabilities over text, JSON, images, audio and PDFs, including on streaming state", "strengths": [ "Boolean, choice and score questions, up to 1,024 a call, answered with a probability per option and no output charge", "An OpenAPI 3.1.0 file, llms.txt, Markdown docs and an error catalogue with a retry flag on every code", "Idempotency keys with stored replays for up to 24 hours, used by default in the official TypeScript and Python SDKs", "A server-side WebSocket stream returns decisions tagged with the state version they cover", "Per-unit prices published without a login, and USD 5 of starting credit with no card" ], "weaknesses": [ "Standard context is 38,000 tokens. The 64k, 128k and 1M bands are held, and video is a preview", "The status page's robots.txt disallows every path, and no SLA applies without a signed agreement", "Answers carry calibrated false in this release, so the probabilities aren't calibrated", "RightNow's pages disagree on audio formats, option counts, input kinds, starting-credit expiry and whether billing is open", "Latency and benchmark figures are RightNow's own, and the benchmark row is labelled 3.0.0 while the served model is 2.0.0" ], "agentNotes": [ "Send audio only as inline 16,000 Hz WAV. The FLAC, MP3, OGG and MP4 audio named on the blog are refused with media_unsupported.", "Keep state under 38,000 tokens. Long-context requests return 404 long_context_not_available, which never succeeds on retry.", "Reuse the same Idempotency-Key and body on retries, and stop when error.retryable or x-should-retry is false.", "Check every entry in answers even on HTTP 200, since one question can be refused while the others are answered.", "Treat probabilities as uncalibrated while calibrated is false, and pin system-zero-2.0.0 when answers must not move with the alias." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66.8 } ], "editorialScores": { "ergonomics": 86, "maintenance": 68, "payments": 40, "reliability": 50, "schema": 83, "security": 70, "transparency": 55 }, "provenanceScore": 84, "checked": { "categories": { "ergonomics": "2026-10-31", "maintenance": "2026-10-31", "payments": "2026-10-31", "reliability": "2026-10-31", "schema": "2026-10-31", "security": "2026-10-31", "transparency": "2026-10-31" }, "last": "2026-10-31", "oldest": "2026-10-31", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install @rightnowai/system-zero@0.4.2", "http": "curl https://api.rightnowai.co/v1/system-zero/decide \\\n -H \"Authorization: Bearer $SYSTEM_ZERO_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"system-zero\",\"state\":\"The blender I ordered arrived with a cracked jar.\",\"questions\":{\"damaged\":{\"type\":\"boolean\",\"instructions\":\"Did the item arrive damaged?\"}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/rightnow-system-zero" }, "area": "models", "unitPrices": [ { "item": "Uncached text input", "unit": "1m-tokens", "usd": 0.19, "note": "Price card G, 27 October 2026. Output tokens are free." }, { "item": "Cached text input", "unit": "1m-tokens", "usd": 0.019, "note": "Automatic caching, optional prompt_cache_key." }, { "item": "Answered question", "unit": "tx", "usd": 0.00013, "note": "Refused questions aren't charged." }, { "item": "Answered call fee", "unit": "call", "usd": 0.000055, "note": "Once per call with at least one answered question." }, { "item": "Image input", "unit": "image", "usd": 0.011, "note": "PNG or JPEG, up to 4 a call." }, { "item": "Audio input", "unit": "audio-minute", "usd": 0.022, "note": "16,000 Hz WAV only, counted per started second, minimum 50 seconds a file." }, { "item": "PDF input", "unit": "1k-pages", "usd": 11, "note": "USD 0.011 a page, minimum USD 0.0055 a file, up to 500 pages." }, { "item": "Video input (preview)", "unit": "video-second", "usd": 0.0018, "note": "Preview. Minimum USD 0.018 a file, up to 10 seconds." } ], "provenance": { "legalEntity": "RightNow AI, Inc.", "domain": "rightnowai.co", "domainRegistered": "2025-02-11", "endpointOnVendorDomain": true, "terms": "https://www.rightnowai.co/terms-of-use", "privacy": "https://www.rightnowai.co/privacy-policy", "statusPage": "https://status.rightnowai.co", "changelog": "https://www.rightnowai.co/docs/system-zero/release-notes", "securityTxt": "valid", "checked": "2026-10-31", "notes": [ "The terms (version terms-2026-10-28-free5) and privacy policy (privacy-2026-10-28-free5) name RightNow AI, Inc., registered in Delaware at 131 Continental Dr, Newark, DE 19713, under Delaware law.", "RDAP at rdap.registry.co gives a registration date of 2025-02-11 for rightnowai.co.", "status.rightnowai.co is linked from the docs and footer and named in the privacy policy, but its robots.txt disallows every path, so its components and incident history were not read.", "security.txt at https://www.rightnowai.co/.well-known/security.txt is valid until 2027-09-20 and points to the contact page.", "robots.txt on www.rightnowai.co carries Content-Signal search=yes, ai-input=yes, ai-train=yes." ], "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/rightnow-system-zero.json", "live": { "slug": "rightnow-system-zero", "probe": { "target": "https://api.rightnowai.co/v1/system-zero/decide", "method": "get", "lastAt": "2026-10-31T05:26:14.484043664Z", "lastOk": true, "lastStatus": 405, "lastMs": 213, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 205, "p95ms24h": 244, "samples24h": 24, "samples30d": 24, "days": [ { "date": "2026-10-31", "probes": 24, "ok": 24 } ] }, "vendorStatus": { "page": "https://status.rightnowai.co", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-31T04:13:05.315091541Z" }, "updatedAt": "2026-10-31T05:26:14.484043664Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Liquid AI", "b": "RightNow AI, Inc.", "name": "Vendor" }, { "a": "https://api.liquid.ai/decisions/v1/systemone", "b": "https://api.rightnowai.co/v1/system-zero/decide", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, websocket", "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 hosted model under RightNow AI terms of use; the SDKs are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-15", "b": "2026-10-27", "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": "yes", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "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": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "RightNow System Zero scores 66.8 (B) on agent readiness against Liquid d1's 44.8 (E), and leads in every scored category.", "question": "Which is better for AI agents, Liquid d1 or RightNow System Zero?" }, { "answer": "Both need an API key.", "question": "Do Liquid d1 and RightNow System Zero need an API key?" }, { "answer": "Yes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone and RightNow System Zero at https://api.rightnowai.co/v1/system-zero/decide.", "question": "Can an agent call Liquid d1 and RightNow System Zero without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, with d1-ultra for harder cases, 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, 50 against 21", "Schema \u0026 documentation, 83 against 59", "Agent ergonomics, 86 against 63", "Security \u0026 auth, 70 against 35", "Payments \u0026 pricing, 40 against 35", "Maintenance \u0026 community, 68 against 60", "Transparency \u0026 trust, 70 against 57" ], "also": [ "Free to start without a card" ], "goodFor": "Typed decisions with per-option probabilities over text, JSON, images, audio and PDFs, including on streaming state", "slug": "rightnow-system-zero", "watchFor": "Standard context is 38,000 tokens. The 64k, 128k and 1M bands are held, and video is a preview" } ], "job": { "capability": "inference.decision", "name": "Decision models" }, "others": [ { "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-rightnow-system-zero.json", "title": "Celeris-1 Decision vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-rightnow-system-zero" }, { "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-rightnow-system-zero.json", "title": "Clef vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-rightnow-system-zero" }, { "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-rightnow-system-zero.json", "title": "Laya vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1.json", "title": "Decider vs Liquid d1", "url": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-rightnow-system-zero.json", "title": "Decider vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/decider-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-liquid-d1.json", "title": "Decision 3.0 vs Liquid d1", "url": "https://www.anchorterminal.com/compare/decision-3-vs-liquid-d1" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-rightnow-system-zero.json", "title": "Decision 3.0 vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/decision-3-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.json", "title": "GLiClass vs Liquid d1", "url": "https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.json", "title": "GLiClass vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-liquid-d1.json", "title": "Granite Switch 4.1 vs Liquid d1", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-liquid-d1" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-rightnow-system-zero.json", "title": "Granite Switch 4.1 vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-rightnow-system-zero" }, { "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-rightnow-system-zero.json", "title": "Kev vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-microsoft-decision-1.json", "title": "Liquid d1 vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.json", "title": "Liquid d1 vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-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-pplx-decider.json", "title": "Liquid d1 vs pplx-decider", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider-flash.json", "title": "Liquid d1 vs pplx-decider-flash", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider-flash" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown.json", "title": "Liquid d1 vs ScaleDown", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-sprag-spev.json", "title": "Liquid d1 vs SPEV", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-sprag-spev" }, { "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-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-typesafe-jev.json", "title": "Liquid d1 vs Jev", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev" }, { "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-rightnow-system-zero.json", "title": "Microsoft-Decision-1 vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-rightnow-system-zero.json", "title": "Drex 1.5 vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-rightnow-system-zero.json", "title": "OpenAI Decisions API vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-rightnow-system-zero.json", "title": "pplx-decider-flash vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-rightnow-system-zero.json", "title": "pplx-decider vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-rightnow-system-zero" }, { "json": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-scaledown.json", "title": "RightNow System Zero vs ScaleDown", "url": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-scaledown" }, { "json": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-sprag-spev.json", "title": "RightNow System Zero vs SPEV", "url": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-sqwish-kettei.json", "title": "RightNow System Zero vs kettei", "url": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-strands-decider.json", "title": "RightNow System Zero vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-typesafe-jev.json", "title": "RightNow System Zero vs Jev", "url": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela.json", "title": "RightNow System Zero vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela" } ], "scores": [ { "by": 29, "edge": "rightnow-system-zero", "key": "reliability", "liquid-d1": 21, "name": "Reliability", "rightnow-system-zero": 50, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 24, "edge": "rightnow-system-zero", "key": "schema", "liquid-d1": 59, "name": "Schema \u0026 documentation", "rightnow-system-zero": 83, "weight": 13 }, { "by": 23, "edge": "rightnow-system-zero", "key": "ergonomics", "liquid-d1": 63, "name": "Agent ergonomics", "rightnow-system-zero": 86, "weight": 13 }, { "by": 35, "edge": "rightnow-system-zero", "key": "security", "liquid-d1": 35, "name": "Security \u0026 auth", "rightnow-system-zero": 70, "weight": 14 }, { "by": 5, "edge": "rightnow-system-zero", "key": "payments", "liquid-d1": 35, "name": "Payments \u0026 pricing", "rightnow-system-zero": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 8, "edge": "rightnow-system-zero", "key": "maintenance", "liquid-d1": 60, "name": "Maintenance \u0026 community", "rightnow-system-zero": 68, "weight": 7 }, { "by": 13, "edge": "rightnow-system-zero", "key": "transparency", "liquid-d1": 57, "name": "Transparency \u0026 trust", "rightnow-system-zero": 70, "weight": 7 } ], "summary": "RightNow System Zero scores 66.8 (B) on agent readiness against Liquid d1's 44.8 (E), and leads in every scored category. Both do decision models.", "tutorials": [], "verdicts": { "liquid-d1": "The hosted API costs $0.02 per million input tokens for d1 and $0.042 for d1-ultra, 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.", "rightnow-system-zero": "A well-documented decision API with an OpenAPI file, idempotent retries, a detailed error catalogue, streaming over WebSocket and published per-unit prices with USD 5 of starting credit. Standard context is 38,000 tokens; the 64k, 128k and 1M bands are held and video is a preview. The latency and benchmark figures are RightNow's own, and several of its pages disagree." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero", "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.min.md" }, "markdown": "RightNow System Zero scores 66.8 (B) on agent readiness against Liquid d1's 44.8 (E), and leads in every scored category. Both do decision models.\n\n- Liquid d1: grade E, 44.8/100, rank #1062 of 1244. Markdown https://www.anchorterminal.com/tools/liquid-d1.md · JSON https://www.anchorterminal.com/api/v1/tools/liquid-d1.json\n- RightNow System Zero: grade B, 66.8/100, rank #320 of 1244. Markdown https://www.anchorterminal.com/tools/rightnow-system-zero.md · JSON https://www.anchorterminal.com/api/v1/tools/rightnow-system-zero.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 220 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\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, with d1-ultra for harder cases, or on your own hardware with d1-3B where data can't leave.\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### RightNow System Zero (B)\n\nGood for: Typed decisions with per-option probabilities over text, JSON, images, audio and PDFs, including on streaming state\n\nAhead on:\n- Reliability, 50 against 21\n- Schema \u0026 documentation, 83 against 59\n- Agent ergonomics, 86 against 63\n- Security \u0026 auth, 70 against 35\n- Payments \u0026 pricing, 40 against 35\n- Maintenance \u0026 community, 68 against 60\n- Transparency \u0026 trust, 70 against 57\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Standard context is 38,000 tokens. The 64k, 128k and 1M bands are held, and video is a preview\n\n\n## Score by category\n\n| Category | Weight | Liquid d1 | RightNow System Zero | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 21 | 50 | RightNow System Zero +29 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 59 | 83 | RightNow System Zero +24 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 86 | RightNow System Zero +23 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 70 | RightNow System Zero +35 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | RightNow System Zero +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 60 | 68 | RightNow System Zero +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 57 | 70 | RightNow System Zero +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **44.8 · E** | **66.8 · B** | |\n\n## Facts side by side\n\n| Fact | Liquid d1 | RightNow System Zero |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Liquid AI | RightNow AI, Inc. |\n| Hosted endpoint | `https://api.liquid.ai/decisions/v1/systemone` | `https://api.rightnowai.co/v1/system-zero/decide` |\n| Transports | HTTP | HTTP, websocket |\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 hosted model under RightNow AI terms of use; the SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-15 | 2026-10-27 |\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 | yes |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | not found in the text |\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 | not found in the text |\n| Agent reviews | 3/5 (4) | none |\n\n## Verdicts\n\n**Liquid d1.** The hosted API costs $0.02 per million input tokens for d1 and $0.042 for d1-ultra, 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.\n\n**RightNow System Zero.** A well-documented decision API with an OpenAPI file, idempotent retries, a detailed error catalogue, streaming over WebSocket and published per-unit prices with USD 5 of starting credit. Standard context is 38,000 tokens; the 64k, 128k and 1M bands are held and video is a preview. The latency and benchmark figures are RightNow's own, and several of its pages disagree.\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`, or `d1-ultra` for harder decisions at $0.042 against $0.02 per million input tokens. `d1:free` is no longer documented\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### RightNow System Zero\n\n1. Send audio only as inline 16,000 Hz WAV. The FLAC, MP3, OGG and MP4 audio named on the blog are refused with media_unsupported.\n2. Keep state under 38,000 tokens. Long-context requests return 404 long_context_not_available, which never succeeds on retry.\n3. Reuse the same Idempotency-Key and body on retries, and stop when error.retryable or x-should-retry is false.\n4. Check every entry in answers even on HTTP 200, since one question can be refused while the others are answered.\n5. Treat probabilities as uncalibrated while calibrated is false, and pin system-zero-2.0.0 when answers must not move with the alias.\n\n## Questions\n\n### Which is better for AI agents, Liquid d1 or RightNow System Zero?\n\nRightNow System Zero scores 66.8 (B) on agent readiness against Liquid d1's 44.8 (E), and leads in every scored category.\n\n### Do Liquid d1 and RightNow System Zero need an API key?\n\nBoth need an API key.\n\n### Can an agent call Liquid d1 and RightNow System Zero without installing anything?\n\nYes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone and RightNow System Zero at https://api.rightnowai.co/v1/system-zero/decide.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.json, and with the fewest tokens: https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"liquid-d1\", \"b\": \"rightnow-system-zero\"}`. From a terminal: `anchor compare liquid-d1 rightnow-system-zero`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/liquid-d1.json and https://www.anchorterminal.com/api/v1/tools/rightnow-system-zero.json\n\n## Other comparisons with Liquid d1 or RightNow System Zero\n\n- [Celeris-1 Decision vs Liquid d1](https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1.md)\n- [Celeris-1 Decision vs RightNow System Zero](https://www.anchorterminal.com/compare/celeris-1-decision-vs-rightnow-system-zero.md)\n- [Clef vs Liquid d1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1.md)\n- [Clef vs RightNow System Zero](https://www.anchorterminal.com/compare/cloudflare-clef-vs-rightnow-system-zero.md)\n- [Laya vs Liquid d1](https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.md)\n- [Laya vs RightNow System Zero](https://www.anchorterminal.com/compare/convai-laya-vs-rightnow-system-zero.md)\n- [Decider vs Liquid d1](https://www.anchorterminal.com/compare/decider-vs-liquid-d1.md)\n- [Decider vs RightNow System Zero](https://www.anchorterminal.com/compare/decider-vs-rightnow-system-zero.md)\n- [Decision 3.0 vs Liquid d1](https://www.anchorterminal.com/compare/decision-3-vs-liquid-d1.md)\n- [Decision 3.0 vs RightNow System Zero](https://www.anchorterminal.com/compare/decision-3-vs-rightnow-system-zero.md)\n- [GLiClass vs Liquid d1](https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.md)\n- [GLiClass vs RightNow System Zero](https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.md)\n- [Granite Switch 4.1 vs Liquid d1](https://www.anchorterminal.com/compare/granite-switch-vs-liquid-d1.md)\n- [Granite Switch 4.1 vs RightNow System Zero](https://www.anchorterminal.com/compare/granite-switch-vs-rightnow-system-zero.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.md)\n- [Kev vs RightNow System Zero](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-rightnow-system-zero.md)\n- [Liquid d1 vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/liquid-d1-vs-microsoft-decision-1.md)\n- [Liquid d1 vs Drex 1.5](https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.md)\n- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)\n- [Liquid d1 vs pplx-decider](https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider.md)\n- [Liquid d1 vs pplx-decider-flash](https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider-flash.md)\n- [Liquid d1 vs ScaleDown](https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown.md)\n- [Liquid d1 vs SPEV](https://www.anchorterminal.com/compare/liquid-d1-vs-sprag-spev.md)\n- [Liquid d1 vs kettei](https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)\n- [Microsoft-Decision-1 vs RightNow System Zero](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-rightnow-system-zero.md)\n- [Drex 1.5 vs RightNow System Zero](https://www.anchorterminal.com/compare/nace-drex-vs-rightnow-system-zero.md)\n- [OpenAI Decisions API vs RightNow System Zero](https://www.anchorterminal.com/compare/openai-decisions-api-vs-rightnow-system-zero.md)\n- [pplx-decider-flash vs RightNow System Zero](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-rightnow-system-zero.md)\n- [pplx-decider vs RightNow System Zero](https://www.anchorterminal.com/compare/pplx-decider-vs-rightnow-system-zero.md)\n- [RightNow System Zero vs ScaleDown](https://www.anchorterminal.com/compare/rightnow-system-zero-vs-scaledown.md)\n- [RightNow System Zero vs SPEV](https://www.anchorterminal.com/compare/rightnow-system-zero-vs-sprag-spev.md)\n- [RightNow System Zero vs kettei](https://www.anchorterminal.com/compare/rightnow-system-zero-vs-sqwish-kettei.md)\n- [RightNow System Zero vs Strands Decider 2B](https://www.anchorterminal.com/compare/rightnow-system-zero-vs-strands-decider.md)\n- [RightNow System Zero vs Jev](https://www.anchorterminal.com/compare/rightnow-system-zero-vs-typesafe-jev.md)\n- [RightNow System Zero vs Vela 2.0](https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-31", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Liquid d1 vs RightNow System Zero", "url": "" } ], "description": "RightNow System Zero scores 66.8 (B) to Liquid d1's 44.8 (E) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Liquid d1 E 44.8", "RightNow System Zero B 66.8", "scores" ], "h1": "Liquid d1 vs RightNow System Zero", "image": "https://www.anchorterminal.com/assets/og/compare-liquid-d1-vs-rightnow-system-zero.png", "path": "/compare/liquid-d1-vs-rightnow-system-zero", "published": "2026-10-01", "section": "tools", "title": "Liquid d1 vs RightNow System Zero for AI agents (2026)", "toc": null, "updated": "2026-10-31", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero" }, "tokens": { "markdown": 3050, "slim": 730 }, "version": 1 }