{ "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": "Vela 2.0 and RightNow System Zero score within a point of each other on agent readiness, 67 (B) and 66.8 (B). RightNow System Zero leads on schema \u0026 documentation, agent ergonomics, security \u0026 auth and transparency \u0026 trust.", "b": { "slug": "vela", "name": "Vela 2.0", "vendor": "vLLM Semantic Router project and KR Labs", "vendorUrl": "https://vllm-sr.ai", "kind": "model", "category": "decision-models", "summary": "Vela 2.0 is a family of four open-weight decision models from the vLLM Semantic Router project and KR Labs, released on 6 October 2026 under Apache-2.0 for routing, safety checks, personal-data spans and hallucination checks.", "url": "https://www.anchorterminal.com/tools/vela", "markdownUrl": "https://www.anchorterminal.com/tools/vela.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vela.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vela.json", "repo": "https://github.com/vllm-project/semantic-router", "license": "Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "vllm-sr" } ], "auth": "none", "authNotes": "No account. The weights are public and ungated on Hugging Face. The bundled `vela2_serve.py` binds to 127.0.0.1 and ignores the Authorization header unless `VELA2_API_KEY` is set, after which it requires `Authorization: Bearer \u003ckey\u003e` and answers 401 otherwise. The router's model runtime has no authentication and publishes on 127.0.0.1 unless `--host` is passed.", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy and no hosted API. Hardware is the owner's cost. The 0.3B runs on a CPU, and the cards put GPU parameter memory at about 17 GB for the 4B. The router docs list about 32 GB for the 9B (checked 2026-10-08).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Vela 2.0 is software the owner runs, and neither server has a payment route (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 6054, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://huggingface.co/collections/vllm-sr/vela-20", "openapi": "https://raw.githubusercontent.com/vllm-project/semantic-router/main/src/model-runtime/vllm_srun/api/openapi.yaml", "capabilities": [ "inference.decision", "guard.pii", "guard.injection", "guard.moderation", "guard.self-host" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "openapi" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 67, "grade": "B", "agentReady": false, "rank": 301, "ranked": true, "rankOf": 1244, "categoryRank": 8, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 79, "maintenance": 84, "payments": 60, "reliability": 57, "schema": 78, "security": 60, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.", "bestFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.", "strengths": [ "Five question types in one request (choice, noul, score, set and span), with span answers as labelled character offsets and a probability each", "Apache-2.0 weights, code and documentation, ungated on Hugging Face, with safetensors files and a SHA256SUMS manifest in the three decoder repositories", "Two serving routes. A bundled FastAPI server on `POST /v1/systemone`, and the router's model runtime with an OpenAPI 3.0.3 contract and Prometheus metrics", "The model cards disclose evaluation protocol, including that the 0.3B release selection considered test results and that SQuAD v2 isn't zero-shot", "The router's release note lists where the 0.3B default is behind Vela 1.0, with numbers, and how to restore each Vela 1.0 model" ], "weaknesses": [ "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026", "Loading with `transformers` needs `trust_remote_code=True`, which runs Python from the model repository", "The router's `vllm-sr serve MODEL` engine mode is newer than the 0.4.0 stable release and needs the development channel", "By the authors' figures the 4B scores 31.63 on the Jev Decision Index 0.2.1 against 42.55 for its Decision 2.0 base", "The model runtime has no authentication, and the bundled server is open unless `VELA2_API_KEY` is set" ], "agentNotes": [ "Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch", "Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name", "Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head", "Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit", "Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 4.3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67 } ], "editorialScores": { "ergonomics": 79, "maintenance": 84, "payments": 60, "reliability": 57, "schema": 78, "security": 60, "transparency": 68 }, "provenanceScore": 39, "checked": { "categories": { "ergonomics": "2026-10-08", "maintenance": "2026-10-08", "payments": "2026-10-08", "reliability": "2026-10-08", "schema": "2026-10-08", "security": "2026-10-08", "transparency": "2026-10-08" }, "last": "2026-10-08", "lastMoved": "2026-10-27", "oldest": "2026-10-08", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install torch \"transformers\u003e=5.17\" safetensors tokenizers numpy fastapi uvicorn\n# from a local snapshot of vllm-sr/Vela-2.0-4B\npython vela2_serve.py --model . --device cuda --port 8001", "http": "curl -s localhost:8001/v1/systemone -H 'content-type: application/json' \\\n -d '{\"model\":\"vllm-sr/Vela-2.0-4B\",\"state\":\"My card was charged twice and the parcel never arrived.\",\"questions\":{\"issues\":{\"type\":\"set\",\"instructions\":\"Which issues does the customer report?\",\"criteria\":{\"billing\":\"payments, charges, refunds or invoices\",\"shipping\":\"delivery of an order or a parcel\",\"login\":\"signing in, passwords or account access\"}}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/vela" }, "sameCompany": [ "decision-3" ], "area": "models", "provenance": { "legalEntity": "", "domain": "vllm-sr.ai", "domainRegistered": "2026-07-13", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://vllm-sr.ai/docs/release-notes/vela-2-0-built-in-signals", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "An open-source project with no company named as publisher. The site footer reads vLLM Semantic Router Team, and the model cards credit KR Labs and vLLM Semantic Router.", "RDAP gives 13 July 2026 as the registration date of vllm-sr.ai.", "Software the owner runs, so there's no hosted endpoint, terms or privacy policy. The Apache-2.0 licence stands in for terms.", "vllm-sr.ai/.well-known/security.txt returns 404. SECURITY.md in the repository takes private reports through GitHub Security Advisories.", "The weights are on huggingface.co under the vllm-sr organisation, and the code for the router and its model runtime is at github.com/vllm-project/semantic-router." ], "score": 39 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vela.json", "live": { "slug": "vela", "versions": [ { "registry": "github", "name": "vllm-project/semantic-router", "version": "v0.4.0", "released": "2026-09-27", "seenAt": "2026-10-30T14:53:03.200789515Z" }, { "registry": "pypi", "name": "vllm-sr", "version": "0.4.0", "released": "2026-09-27", "seenAt": "2026-10-30T14:53:02.995419167Z" } ], "githubStars": 6341, "pypiWeekly": 2513, "securityTxt": { "url": "https://vllm-sr.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-30T15:38:22.508937191Z" }, "domain": { "domain": "vllm-sr.ai", "registered": "2026-07-13", "source": "https://rdap.identitydigital.services/rdap/domain/vllm-sr.ai", "checkedAt": "2026-10-25T13:51:01.851413943Z" }, "pages": [ { "url": "https://vllm-sr.ai/docs/release-notes/vela-2-0-built-in-signals", "kind": "changelog", "status": 404, "checkedAt": "2026-10-30T05:51:17.5377562Z", "changedAt": "2026-10-09T18:47:13.835337297Z", "fingerprint": "10ded21d9f13" } ], "github": { "repo": "vllm-project/semantic-router", "checkedAt": "2026-10-26T08:16:10.047515969Z", "stars": 6260, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-26T02:32:50Z", "openIssues": 510, "openPRs": 265, "issuesOpened90d": 1268, "issuesClosed90d": 950, "prsMerged90d": 1070, "ci": { "branch": "main", "runs": 50, "success": 48, "failure": 2, "other": 0, "latest": "success", "latestAt": "2026-10-25T17:50:40Z" }, "advisories": [ { "ghsa": "GHSA-xr66-pq9r-2c8j", "severity": "high", "published": "2026-10-18T16:38:40Z" } ], "replies": { "sampled": 2, "unanswered": 1, "medianDays": 1.3 } }, "updatedAt": "2026-10-30T15:38:22.508937191Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "RightNow AI, Inc.", "b": "vLLM Semantic Router project and KR Labs", "name": "Vendor" }, { "a": "https://api.rightnowai.co/v1/system-zero/decide", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, websocket", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted model under RightNow AI terms of use; the SDKs are Apache-2.0", "b": "Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-27", "b": "2026-10-06", "name": "Last release" }, { "a": "no date given", "b": "no document linked", "name": "Terms last updated" }, { "a": "no date given", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "6.1k stars", "name": "Popularity" }, { "a": "none", "b": "4.3/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Vela 2.0 and RightNow System Zero score within a point of each other on agent readiness, 67 (B) and 66.8 (B). RightNow System Zero leads on schema \u0026 documentation, agent ergonomics, security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, RightNow System Zero or Vela 2.0?" }, { "answer": "RightNow System Zero needs an API key. Vela 2.0 needs no key.", "question": "Do RightNow System Zero and Vela 2.0 need an API key?" }, { "answer": "RightNow System Zero has a hosted endpoint at https://api.rightnowai.co/v1/system-zero/decide. No hosted endpoint is listed for Vela 2.0.", "question": "Can an agent call RightNow System Zero and Vela 2.0 without installing anything?" }, { "answer": "No open-source release is listed for RightNow System Zero. Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).", "question": "Are RightNow System Zero and Vela 2.0 open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 83 against 78", "Agent ergonomics, 86 against 79", "Security \u0026 auth, 70 against 60", "Transparency \u0026 trust, 70 against 54" ], "also": [ "A hosted endpoint, with nothing to install", "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" }, { "aheadOn": [ "Reliability, 57 against 50", "Payments \u0026 pricing, 60 against 40", "Maintenance \u0026 community, 84 against 68" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.", "slug": "vela", "watchFor": "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026" } ], "job": { "capability": "inference.decision", "name": "Decision models" }, "others": [ { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-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/celeris-1-decision-vs-vela.json", "title": "Celeris-1 Decision vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-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/cloudflare-clef-vs-vela.json", "title": "Clef vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-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/convai-laya-vs-vela.json", "title": "Laya vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-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/decider-vs-vela.json", "title": "Decider vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/decider-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-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/decision-3-vs-vela.json", "title": "Decision 3.0 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/decision-3-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-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/gliclass-vs-vela.json", "title": "GLiClass vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/gliclass-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-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/granite-switch-vs-vela.json", "title": "Granite Switch 4.1 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-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/jaredpalmer-kev-vs-vela.json", "title": "Kev vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.json", "title": "Liquid d1 vs RightNow System Zero", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero" }, { "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/microsoft-decision-1-vs-vela.json", "title": "Microsoft-Decision-1 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-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/nace-drex-vs-vela.json", "title": "Drex 1.5 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-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/openai-decisions-api-vs-vela.json", "title": "OpenAI Decisions API vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-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-flash-vs-vela.json", "title": "pplx-decider-flash vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-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/pplx-decider-vs-vela.json", "title": "pplx-decider vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/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/scaledown-vs-vela.json", "title": "ScaleDown vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/scaledown-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-vela.json", "title": "SPEV vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.json", "title": "kettei vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-vela.json", "title": "Strands Decider 2B vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.json", "title": "Jev vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela" } ], "scores": [ { "by": 7, "edge": "vela", "key": "reliability", "name": "Reliability", "rightnow-system-zero": 50, "vela": 57, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "edge": "rightnow-system-zero", "key": "schema", "name": "Schema \u0026 documentation", "rightnow-system-zero": 83, "vela": 78, "weight": 13 }, { "by": 7, "edge": "rightnow-system-zero", "key": "ergonomics", "name": "Agent ergonomics", "rightnow-system-zero": 86, "vela": 79, "weight": 13 }, { "by": 10, "edge": "rightnow-system-zero", "key": "security", "name": "Security \u0026 auth", "rightnow-system-zero": 70, "vela": 60, "weight": 14 }, { "by": 20, "edge": "vela", "key": "payments", "name": "Payments \u0026 pricing", "rightnow-system-zero": 40, "vela": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 16, "edge": "vela", "key": "maintenance", "name": "Maintenance \u0026 community", "rightnow-system-zero": 68, "vela": 84, "weight": 7 }, { "by": 16, "edge": "rightnow-system-zero", "key": "transparency", "name": "Transparency \u0026 trust", "rightnow-system-zero": 70, "vela": 54, "weight": 7 } ], "summary": "Vela 2.0 and RightNow System Zero score within a point of each other on agent readiness, 67 (B) and 66.8 (B). RightNow System Zero leads on schema \u0026 documentation, agent ergonomics, security \u0026 auth and transparency \u0026 trust. Both do decision models.", "tutorials": [ { "title": "Find contact details in a message with Vela", "tool": "vela", "url": "https://www.anchorterminal.com/tutorials/vela/" } ], "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.", "vela": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela", "json": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela.min.md" }, "markdown": "Vela 2.0 and RightNow System Zero score within a point of each other on agent readiness, 67 (B) and 66.8 (B). RightNow System Zero leads on schema \u0026 documentation, agent ergonomics, security \u0026 auth and transparency \u0026 trust. 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- Vela 2.0: grade B, 67/100, rank #301 of 1244. Markdown https://www.anchorterminal.com/tools/vela.md · JSON https://www.anchorterminal.com/api/v1/tools/vela.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 220 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/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- Schema \u0026 documentation, 83 against 78\n- Agent ergonomics, 86 against 79\n- Security \u0026 auth, 70 against 60\n- Transparency \u0026 trust, 70 against 54\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\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### Vela 2.0 (B)\n\nGood for: Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.\n\nAhead on:\n- Reliability, 57 against 50\n- Payments \u0026 pricing, 60 against 40\n- Maintenance \u0026 community, 84 against 68\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026\n\n\n## Score by category\n\n| Category | Weight | RightNow System Zero | Vela 2.0 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 57 | Vela 2.0 +7 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 83 | 78 | RightNow System Zero +5 |\n| Agent ergonomics | 13% (16.2 this run) | 86 | 79 | RightNow System Zero +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 60 | RightNow System Zero +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 60 | Vela 2.0 +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 68 | 84 | Vela 2.0 +16 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 54 | RightNow System Zero +16 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **66.8 · B** | **67 · B** | |\n\n## Facts side by side\n\n| Fact | RightNow System Zero | Vela 2.0 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | RightNow AI, Inc. | vLLM Semantic Router project and KR Labs |\n| Hosted endpoint | `https://api.rightnowai.co/v1/system-zero/decide` | no (local only) |\n| Transports | HTTP, websocket | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Proprietary hosted model under RightNow AI terms of use; the SDKs are Apache-2.0 | Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-27 | 2026-10-06 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | no date given | no document linked |\n| Customer content may train models | yes | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | none | 6.1k stars |\n| Agent reviews | none | 4.3/5 (4) |\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**Vela 2.0.** One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.\n\n## Before you call either\n\n### 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### Vela 2.0\n\n1. Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch\n2. Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name\n3. Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head\n4. Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit\n5. Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network\n\n## Tutorials\n\n- [Find contact details in a message with Vela](https://www.anchorterminal.com/tutorials/vela/), for Vela 2.0\n\n## Questions\n\n### Which is better for AI agents, RightNow System Zero or Vela 2.0?\n\nVela 2.0 and RightNow System Zero score within a point of each other on agent readiness, 67 (B) and 66.8 (B). RightNow System Zero leads on schema \u0026 documentation, agent ergonomics, security \u0026 auth and transparency \u0026 trust.\n\n### Do RightNow System Zero and Vela 2.0 need an API key?\n\nRightNow System Zero needs an API key. Vela 2.0 needs no key.\n\n### Can an agent call RightNow System Zero and Vela 2.0 without installing anything?\n\nRightNow System Zero has a hosted endpoint at https://api.rightnowai.co/v1/system-zero/decide. No hosted endpoint is listed for Vela 2.0.\n\n### Are RightNow System Zero and Vela 2.0 open source?\n\nNo open-source release is listed for RightNow System Zero. Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela.json, and with the fewest tokens: https://www.anchorterminal.com/compare/rightnow-system-zero-vs-vela.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"rightnow-system-zero\", \"b\": \"vela\"}`. From a terminal: `anchor compare rightnow-system-zero vela`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/rightnow-system-zero.json and https://www.anchorterminal.com/api/v1/tools/vela.json\n\n## Other comparisons with RightNow System Zero or Vela 2.0\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 Vela 2.0](https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.md)\n- [Clef vs RightNow System Zero](https://www.anchorterminal.com/compare/cloudflare-clef-vs-rightnow-system-zero.md)\n- [Clef vs Vela 2.0](https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela.md)\n- [Laya vs RightNow System Zero](https://www.anchorterminal.com/compare/convai-laya-vs-rightnow-system-zero.md)\n- [Laya vs Vela 2.0](https://www.anchorterminal.com/compare/convai-laya-vs-vela.md)\n- [Decider vs RightNow System Zero](https://www.anchorterminal.com/compare/decider-vs-rightnow-system-zero.md)\n- [Decider vs Vela 2.0](https://www.anchorterminal.com/compare/decider-vs-vela.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 Vela 2.0](https://www.anchorterminal.com/compare/decision-3-vs-vela.md)\n- [GLiClass vs RightNow System Zero](https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.md)\n- [GLiClass vs Vela 2.0](https://www.anchorterminal.com/compare/gliclass-vs-vela.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 Vela 2.0](https://www.anchorterminal.com/compare/granite-switch-vs-vela.md)\n- [Kev vs RightNow System Zero](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-rightnow-system-zero.md)\n- [Kev vs Vela 2.0](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.md)\n- [Liquid d1 vs RightNow System Zero](https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.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- [Microsoft-Decision-1 vs Vela 2.0](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-vela.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 Vela 2.0](https://www.anchorterminal.com/compare/nace-drex-vs-vela.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 Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.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 Vela 2.0](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-vela.md)\n- [pplx-decider vs RightNow System Zero](https://www.anchorterminal.com/compare/pplx-decider-vs-rightnow-system-zero.md)\n- [pplx-decider vs Vela 2.0](https://www.anchorterminal.com/compare/pplx-decider-vs-vela.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- [ScaleDown vs Vela 2.0](https://www.anchorterminal.com/compare/scaledown-vs-vela.md)\n- [SPEV vs Vela 2.0](https://www.anchorterminal.com/compare/sprag-spev-vs-vela.md)\n- [kettei vs Vela 2.0](https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n- [Jev vs Vela 2.0](https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.md)\n", "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": "RightNow System Zero vs Vela 2.0", "url": "" } ], "description": "Vela 2.0 and RightNow System Zero score within a point of each other for decision models, 67 and 66.8 out of 100. 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