{
  "data": {
    "a": {
      "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"
      }
    },
    "answer": "RightNow System Zero scores 66.8 (B) on agent readiness against ScaleDown's 48.8 (D), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "scaledown",
      "name": "ScaleDown",
      "vendor": "Carbon ScaleDown, Inc.",
      "vendorUrl": "https://scaledown.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "ScaleDown's API serves three single-task Constrained Decoding Models (Classify, Extract and Summarize) and a Compress model, called with an API key at api.scaledown.xyz. Classify answers Jev-shaped decision requests with probabilities.",
      "url": "https://www.anchorterminal.com/tools/scaledown",
      "markdownUrl": "https://www.anchorterminal.com/tools/scaledown.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/scaledown.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/scaledown.json",
      "repo": "https://github.com/scaledown-team/langchain-scaledown",
      "license": "Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.scaledown.xyz",
      "packages": [
        {
          "registry": "pypi",
          "name": "langchain-scaledown"
        }
      ],
      "auth": "api-key",
      "authNotes": "An API key in the `x-api-key` header. Extract and Summarize on `/v1/chat/completions` also accept `Authorization: Bearer`, so an unmodified OpenAI SDK works by changing the base URL. Keys are made in the dashboard after sign-up at scaledown.ai/auth. We found no documentation of key scopes, expiry or rotation. An unauthenticated request returns 401 with `{\"detail\":\"x-api-key header is required\"}`.",
      "pricing": "usage",
      "pricingNotes": "$0.05 per million input tokens for every model, with output tokens free (https://scaledown.ai, FAQ). Classify's optional one-sentence reasoning bills its extra input tokens at 2x. New accounts get 50 million free tokens with no card, per the homepage. The docs introduction instead says to contact sales for a key. OpenRouter lists Extract and Summarize at $0.04 per million input tokens. Enterprise and self-hosted plans are priced by sales.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document, the site or the LiteLLM and OpenRouter entries (checked 2026-10-14). Running out of credit returns 402 Payment Required as an ordinary error.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 0,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-14"
      },
      "docsUrl": "https://docs.scaledown.ai/introduction",
      "llmsTxt": "https://docs.scaledown.ai/llms.txt",
      "openapi": "https://docs.scaledown.ai/api-reference/openapi.json",
      "capabilities": [
        "inference.decision",
        "docs.extract"
      ],
      "tags": [
        "hosted",
        "model",
        "closed-source",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "usage-priced",
        "free-tier",
        "no-card",
        "python"
      ],
      "lastRelease": "2026-10-14",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 48.8,
        "grade": "D",
        "agentReady": false,
        "rank": 985,
        "ranked": true,
        "rankOf": 1244,
        "categoryRank": 19,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 76,
          "maintenance": 56,
          "payments": 40,
          "reliability": 20,
          "schema": 69,
          "security": 48,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-14"
        },
        "negative": -2,
        "negativeNotes": [
          "Conflicting compliance claims on ScaleDown's own pages, read 14 October 2026. The DPA (20 July 2026) says ScaleDown maintains a SOC 2 Type II attestation and ISO 27001 certification, the homepage shows SOC 2 Type 1, HIPAA and ISO 27001 badges, and llms.txt says GDPR, HIPAA and SOC 2 compliance is in progress. At least one is wrong. No report or trust centre found to settle it (-2) (https://scaledown.ai/dpa, https://scaledown.ai/llms.txt)"
        ],
        "verdict": "Classify answers Jev-shaped `choice`, `noul` and `score` questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other.",
        "bestFor": "Cheap, high-volume labelling, routing and yes or no checks where a probability is more useful than prose, and for pulling described fields with offsets from text, images or PDFs.",
        "strengths": [
          "`POST /v1/scaledown` takes Jev's request shape, so a Jev integration can move by changing the base URL, per the docs",
          "$0.05 per million input tokens for every model, output free, and 50 million free tokens with no card, per the homepage",
          "Extract returns each value with a confidence, character offsets and surrounding context, and routes `enum` fields to the Classify model",
          "llms.txt with Markdown twins, an OpenAPI 3.1 document and OpenAI-compatible chat completions for Extract and Summarize",
          "The terms, DPA and FAQ agree that customer data isn't used for training, and the DPA lists four US subprocessors"
        ],
        "weaknesses": [
          "No status page, no published rate limits and no SLA outside enterprise contracts",
          "No public changelog. The docs dropped the native /extract and /summarization endpoints from the reference on 13 October 2026",
          "Compliance claims disagree between the DPA (SOC 2 Type II, ISO 27001), the homepage badges (SOC 2 Type 1) and llms.txt (in progress)",
          "No security.txt, disclosure policy or bug bounty, and no guidance on hostile text in classified input",
          "The OpenAPI document covers /classify, /v1/scaledown and Compress only, without the documented limits"
        ],
        "agentNotes": [
          "Send several questions about one item in one `/v1/scaledown` call. Each becomes its own Classify call and the usage is summed",
          "Pin `classify-1`, `extract-1` or `summarize-1` once you've tuned thresholds on your own labelled cases",
          "Set `context_chars` to 0 and use `top_n` on Extract unless you need the 500 characters of context each side",
          "Set `reasoning: false` on /classify when you only need the label. The reasoning call bills its input at 2x",
          "Back off and retry on 429, 502 and 504. No limits are published and calls have no side effects"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 48.8
          }
        ],
        "editorialScores": {
          "ergonomics": 76,
          "maintenance": 56,
          "payments": 40,
          "reliability": 20,
          "schema": 69,
          "security": 48,
          "transparency": 56
        },
        "provenanceScore": 56,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-14",
            "maintenance": "2026-10-14",
            "payments": "2026-10-14",
            "reliability": "2026-10-14",
            "schema": "2026-10-14",
            "security": "2026-10-14",
            "transparency": "2026-10-14"
          },
          "last": "2026-10-14",
          "lastMoved": "2026-10-28",
          "oldest": "2026-10-14",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install langchain-scaledown   # LangChain middleware; any OpenAI SDK also works against /v1/chat/completions",
        "http": "curl https://api.scaledown.xyz/v1/scaledown \\\n  -H \"x-api-key: $SCALEDOWN_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"classify-1\",\"state\":\"I was charged twice for my subscription this month.\",\"questions\":{\"category\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"About a charge, invoice, refund, or payment problem.\",\"technical\":\"About a bug or something not working.\"}}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/scaledown"
      },
      "alsoIn": [
        "document-extraction"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Classify, Extract, Summarize and Compress input",
          "unit": "1m-tokens",
          "usd": 0.05,
          "note": "Output tokens free. Classify reasoning input billed at 2x. 50M free tokens for new accounts"
        }
      ],
      "provenance": {
        "legalEntity": "Carbon ScaleDown, Inc.",
        "domain": "scaledown.ai",
        "domainRegistered": "2025-03-28",
        "endpointOnVendorDomain": true,
        "terms": "https://scaledown.ai/terms",
        "privacy": "https://scaledown.ai/privacy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-14",
        "notes": [
          "The terms (last updated 20 July 2026), privacy notice (3 June 2026) and DPA (20 July 2026) name Carbon ScaleDown, Inc., 22952 Stokes Rd, Ramona, CA 92065, and Delaware law. One sentence of the terms names ScaleDown, Inc.",
          "scaledown.ai is a single-page app. /terms, /privacy and /dpa answer HTTP 404 with the app shell, and their text is in the JavaScript bundle (https://scaledown.ai/assets/index-CIrIjse9.js), where we read it.",
          "The API host is api.scaledown.xyz. scaledown.xyz redirects to scaledown.ai, so we treat the endpoint as on the vendor's domain.",
          "scaledown.ai/.well-known/security.txt and docs.scaledown.ai/.well-known/security.txt return 404. status.scaledown.ai and status.scaledown.xyz don't resolve.",
          "No public changelog. The docs source at github.com/scaledown-team/docs has dated commits that record API changes.",
          "RDAP gives scaledown.ai a registration date of 28 March 2025."
        ],
        "score": 56
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/scaledown.json",
      "live": {
        "slug": "scaledown",
        "probe": {
          "target": "https://api.scaledown.xyz",
          "method": "get",
          "lastAt": "2026-10-31T05:26:15.371382661Z",
          "lastOk": true,
          "lastStatus": 403,
          "lastMs": 264,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 270,
          "p95ms24h": 373,
          "samples24h": 250,
          "samples30d": 4129,
          "days": [
            {
              "date": "2026-10-14",
              "probes": 47,
              "ok": 47
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 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": 250,
              "ok": 250
            },
            {
              "date": "2026-10-29",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-30",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-31",
              "probes": 57,
              "ok": 57
            }
          ]
        },
        "versions": [
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      {
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    "scores": [
      {
        "by": 30,
        "edge": "rightnow-system-zero",
        "key": "reliability",
        "name": "Reliability",
        "rightnow-system-zero": 50,
        "scaledown": 20,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 14,
        "edge": "rightnow-system-zero",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "rightnow-system-zero": 83,
        "scaledown": 69,
        "weight": 13
      },
      {
        "by": 10,
        "edge": "rightnow-system-zero",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "rightnow-system-zero": 86,
        "scaledown": 76,
        "weight": 13
      },
      {
        "by": 22,
        "edge": "rightnow-system-zero",
        "key": "security",
        "name": "Security \u0026 auth",
        "rightnow-system-zero": 70,
        "scaledown": 48,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "rightnow-system-zero": 40,
        "scaledown": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 12,
        "edge": "rightnow-system-zero",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "rightnow-system-zero": 68,
        "scaledown": 56,
        "weight": 7
      },
      {
        "by": 14,
        "edge": "rightnow-system-zero",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "rightnow-system-zero": 70,
        "scaledown": 56,
        "weight": 7
      }
    ],
    "summary": "RightNow System Zero scores 66.8 (B) on agent readiness against ScaleDown's 48.8 (D), and leads in 6 of 7 scored categories. Both do decision models.",
    "tutorials": [],
    "verdicts": {
      "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.",
      "scaledown": "Classify answers Jev-shaped `choice`, `noul` and `score` questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other."
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  "markdown": "RightNow System Zero scores 66.8 (B) on agent readiness against ScaleDown's 48.8 (D), and leads in 6 of 7 scored categories. Both do decision models.\n\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- ScaleDown: grade D, 48.8/100, rank #985 of 1244. Markdown https://www.anchorterminal.com/tools/scaledown.md · JSON https://www.anchorterminal.com/api/v1/tools/scaledown.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- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md\n- All 145 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md\n\n## Which one, for what\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 20\n- Schema \u0026 documentation, 83 against 69\n- Agent ergonomics, 86 against 76\n- Security \u0026 auth, 70 against 48\n- Maintenance \u0026 community, 68 against 56\n- Transparency \u0026 trust, 70 against 56\n\nWatch for: Standard context is 38,000 tokens. The 64k, 128k and 1M bands are held, and video is a preview\n\n### ScaleDown (D)\n\nGood for: Cheap, high-volume labelling, routing and yes or no checks where a probability is more useful than prose, and for pulling described fields with offsets from text, images or PDFs.\n\nWatch for: No status page, no published rate limits and no SLA outside enterprise contracts\n\n\n## Score by category\n\n| Category | Weight | RightNow System Zero | ScaleDown | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 20 | RightNow System Zero +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 83 | 69 | RightNow System Zero +14 |\n| Agent ergonomics | 13% (16.2 this run) | 86 | 76 | RightNow System Zero +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 48 | RightNow System Zero +22 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 68 | 56 | RightNow System Zero +12 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 56 | RightNow System Zero +14 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **66.8 · B** | **48.8 · D** | |\n\n## Facts side by side\n\n| Fact | RightNow System Zero | ScaleDown |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | RightNow AI, Inc. | Carbon ScaleDown, Inc. |\n| Hosted endpoint | `https://api.rightnowai.co/v1/system-zero/decide` | `https://api.scaledown.xyz` |\n| Transports | HTTP, websocket | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary hosted model under RightNow AI terms of use; the SDKs are Apache-2.0 | Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-27 | 2026-10-14 |\n| Terms last updated | no date given | couldn't be read |\n| Privacy policy last updated | no date given | couldn't be read |\n| Customer content may train models | yes | couldn't be read |\n| Terms restrict automated access | yes | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | none | 0 stars |\n\n## Verdicts\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**ScaleDown.** Classify answers Jev-shaped `choice`, `noul` and `score` questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other.\n\n## Before you call either\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### ScaleDown\n\n1. Send several questions about one item in one `/v1/scaledown` call. Each becomes its own Classify call and the usage is summed\n2. Pin `classify-1`, `extract-1` or `summarize-1` once you've tuned thresholds on your own labelled cases\n3. Set `context_chars` to 0 and use `top_n` on Extract unless you need the 500 characters of context each side\n4. Set `reasoning: false` on /classify when you only need the label. The reasoning call bills its input at 2x\n5. Back off and retry on 429, 502 and 504. No limits are published and calls have no side effects\n\n## Questions\n\n### Which is better for AI agents, RightNow System Zero or ScaleDown?\n\nRightNow System Zero scores 66.8 (B) on agent readiness against ScaleDown's 48.8 (D), and leads in 6 of 7 scored categories.\n\n### Do RightNow System Zero and ScaleDown need an API key?\n\nBoth need an API key.\n\n### Can an agent call RightNow System Zero and ScaleDown without installing anything?\n\nYes. RightNow System Zero has a hosted endpoint at https://api.rightnowai.co/v1/system-zero/decide and ScaleDown at https://api.scaledown.xyz.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/rightnow-system-zero-vs-scaledown.json, and with the fewest tokens: https://www.anchorterminal.com/compare/rightnow-system-zero-vs-scaledown.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"rightnow-system-zero\", \"b\": \"scaledown\"}`. From a terminal: `anchor compare rightnow-system-zero scaledown`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/rightnow-system-zero.json and https://www.anchorterminal.com/api/v1/tools/scaledown.json\n\n## Other comparisons with RightNow System Zero or ScaleDown\n\n- [Celeris-1 Decision vs RightNow System Zero](https://www.anchorterminal.com/compare/celeris-1-decision-vs-rightnow-system-zero.md)\n- [Celeris-1 Decision vs ScaleDown](https://www.anchorterminal.com/compare/celeris-1-decision-vs-scaledown.md)\n- [Clef vs RightNow System Zero](https://www.anchorterminal.com/compare/cloudflare-clef-vs-rightnow-system-zero.md)\n- [Clef vs ScaleDown](https://www.anchorterminal.com/compare/cloudflare-clef-vs-scaledown.md)\n- [Laya vs RightNow System Zero](https://www.anchorterminal.com/compare/convai-laya-vs-rightnow-system-zero.md)\n- [Laya vs ScaleDown](https://www.anchorterminal.com/compare/convai-laya-vs-scaledown.md)\n- [Decider vs RightNow System Zero](https://www.anchorterminal.com/compare/decider-vs-rightnow-system-zero.md)\n- [Decider vs ScaleDown](https://www.anchorterminal.com/compare/decider-vs-scaledown.md)\n- [Decision 3.0 vs RightNow System Zero](https://www.anchorterminal.com/compare/decision-3-vs-rightnow-system-zero.md)\n- [Decision 3.0 vs ScaleDown](https://www.anchorterminal.com/compare/decision-3-vs-scaledown.md)\n- [GLiClass vs RightNow System Zero](https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.md)\n- [GLiClass vs ScaleDown](https://www.anchorterminal.com/compare/gliclass-vs-scaledown.md)\n- [Granite Switch 4.1 vs RightNow System Zero](https://www.anchorterminal.com/compare/granite-switch-vs-rightnow-system-zero.md)\n- [Granite Switch 4.1 vs ScaleDown](https://www.anchorterminal.com/compare/granite-switch-vs-scaledown.md)\n- [Kev vs RightNow System Zero](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-rightnow-system-zero.md)\n- [Kev vs ScaleDown](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-scaledown.md)\n- [Liquid d1 vs RightNow System Zero](https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.md)\n- [Liquid d1 vs ScaleDown](https://www.anchorterminal.com/compare/liquid-d1-vs-scaledown.md)\n- [Microsoft-Decision-1 vs RightNow System Zero](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-rightnow-system-zero.md)\n- [Microsoft-Decision-1 vs ScaleDown](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-scaledown.md)\n- [Drex 1.5 vs RightNow System Zero](https://www.anchorterminal.com/compare/nace-drex-vs-rightnow-system-zero.md)\n- [Drex 1.5 vs ScaleDown](https://www.anchorterminal.com/compare/nace-drex-vs-scaledown.md)\n- [OpenAI Decisions API vs RightNow System Zero](https://www.anchorterminal.com/compare/openai-decisions-api-vs-rightnow-system-zero.md)\n- [OpenAI Decisions API vs ScaleDown](https://www.anchorterminal.com/compare/openai-decisions-api-vs-scaledown.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-flash vs ScaleDown](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-scaledown.md)\n- [pplx-decider vs RightNow System Zero](https://www.anchorterminal.com/compare/pplx-decider-vs-rightnow-system-zero.md)\n- [pplx-decider vs ScaleDown](https://www.anchorterminal.com/compare/pplx-decider-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- [ScaleDown vs SPEV](https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev.md)\n- [ScaleDown vs kettei](https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.md)\n- [ScaleDown vs Strands Decider 2B](https://www.anchorterminal.com/compare/scaledown-vs-strands-decider.md)\n- [ScaleDown vs Jev](https://www.anchorterminal.com/compare/scaledown-vs-typesafe-jev.md)\n- [ScaleDown vs Vela 2.0](https://www.anchorterminal.com/compare/scaledown-vs-vela.md)\n",
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