{ "data": { "a": { "slug": "gliclass", "name": "GLiClass", "vendor": "Knowledgator", "vendorUrl": "https://www.knowledgator.com", "kind": "model", "category": "decision-models", "summary": "GLiClass is an open-source Python library and family of open-weight zero-shot text classifiers from Knowledgator. It scores every candidate label in one forward pass and runs locally through a pipeline or a Ray Serve endpoint.", "url": "https://www.anchorterminal.com/tools/gliclass", "markdownUrl": "https://www.anchorterminal.com/tools/gliclass.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gliclass.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gliclass.json", "repo": "https://github.com/Knowledgator/GLiClass", "license": "Apache-2.0 (library and the model weights we checked)", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "gliclass" } ], "auth": "none", "authNotes": "No account or key. The weights are public and ungated on Hugging Face. The bundled Ray Serve deployment has no authentication of any kind, and `python -m gliclass.serve` binds to 0.0.0.0 unless `--host` is passed, so the owner has to restrict the port.", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy for the library or the weights. Hardware is the owner's cost. Knowledgator's site links a hosted platform with plans at platform.knowledgator.com, which we couldn't reach on 8 October 2026, so whether it serves GLiClass and at what price is unchecked.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. GLiClass is software the owner runs, and its server has no payment route (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 555, "npmWeekly": null, "pypiWeekly": 13204, "asOf": "2026-10-08" }, "docsUrl": "https://docs.knowledgator.com/docs/frameworks/gliclass/", "capabilities": [ "inference.decision" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "no-auth" ], "lastRelease": "2026-07-21", "graded": true, "anchor": { "graded": true, "score": 50, "grade": "D", "agentReady": false, "rank": 952, "ranked": true, "rankOf": 1244, "categoryRank": 17, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 44, "payments": 60, "reliability": 43, "schema": 49, "security": 38, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.", "bestFor": "Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.", "strengths": [ "Apache-2.0 code and weights, with `train.py`, the training datasets named on the model cards and an arXiv paper (2508.07662)", "One forward pass scores every label. The base v3.0 card reports 51.6 examples a second averaged over 1 to 128 labels on an A6000 (vendor figures)", "Single-label (softmax) and multi-label (sigmoid) modes, hierarchical label sets, task prompts and few-shot examples in one pipeline call", "A Ray Serve deployment with dynamic batching ships in the `gliclass[serve]` extra, with a documented request table for `POST /gliclass`", "31 public, ungated GLiClass checkpoints on Hugging Face, from 32.7M to 439M parameters, as safetensors" ], "weaknesses": [ "No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic", "The bundled server has no authentication, and `python -m gliclass.serve` binds to 0.0.0.0 by default", "The last three runs of the Tests workflow on main, all on 24 September 2026, failed", "Still 0.1.x with no changelog file. 0.1.18 raised the `transformers` floor to 5.0, and issue #44 on v5 loading has been open since 6 July 2026", "No OpenAPI file, no llms.txt, no SECURITY.md and no documented error responses" ], "agentNotes": [ "Pass `--host 127.0.0.1` to `python -m gliclass.serve`, or put the port behind your own gateway. The server checks no credential", "On a machine without a GPU add `--device cpu --dtype float32 --num-gpus-per-replica 0`. The default configuration expects CUDA", "Send one text a request to `POST /gliclass`. An array in `texts` is cut to its first item without an error", "Set `multi_label` to false for one label from a set. The default scores each label independently, so scores do not sum to 1", "Keep text plus labels under the pipeline's 1,024-token `max_length`, or use `ZeroShotClassificationWithChunkingPipeline`. Longer input is truncated silently" ], "metrics": { "kind": "local", "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": 50 } ], "editorialScores": { "ergonomics": 60, "maintenance": 44, "payments": 60, "reliability": 43, "schema": 49, "security": 38, "transparency": 60 }, "provenanceScore": 70, "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": "2026-10-28", "oldest": "2026-10-08", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install gliclass", "http": "pip install \"gliclass[serve]\"\npython -m gliclass.serve --model knowledgator/gliclass-edge-v3.0 --port 8000\ncurl -X POST http://localhost:8000/gliclass \\\n -H \"Content-Type: application/json\" \\\n -d '{\"text\": \"This is a great product.\", \"labels\": [\"positive\", \"negative\", \"neutral\"], \"threshold\": 0.3, \"multi_label\": true}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/gliclass" }, "area": "models", "provenance": { "legalEntity": "Knowledgator Engineering Ltd.", "domain": "knowledgator.com", "domainRegistered": "2021-06-25", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/Knowledgator/GLiClass/releases", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms of use and privacy policy linked from knowledgator.com name Knowledgator Engineering Ltd., London, United Kingdom. Both are dated 21 September 2023.", "Those two documents govern the website and Knowledgator's hosted services, not the library, so `terms` and `privacy` are left out. The Apache-2.0 licence governs what an agent would run.", "Software the owner runs, so there is no hosted endpoint and no status page for it.", "www.knowledgator.com/.well-known/security.txt returns 404, and the repository has no SECURITY.md.", "RDAP for knowledgator.com gives a registration date of 2021-06-25.", "The code is on github.com under the Knowledgator organisation and the weights on huggingface.co under knowledgator." ], "score": 70 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gliclass.json", "live": { "slug": "gliclass", "versions": [ { "registry": "github", "name": "Knowledgator/GLiClass", "version": "v0.1.20", "released": "2026-07-21", "seenAt": "2026-10-30T14:15:09.588582063Z" }, { "registry": "pypi", "name": "gliclass", "version": "0.1.21", "released": "2026-10-16", "seenAt": "2026-10-30T14:15:09.229139043Z" } ], "githubStars": 575, "pypiWeekly": 54792, "securityTxt": { "url": "https://knowledgator.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-30T15:39:27.699283146Z" }, "domain": { "domain": "knowledgator.com", "registered": "2021-06-25", "source": "https://rdap.verisign.com/com/v1/domain/knowledgator.com", "checkedAt": "2026-10-25T13:49:10.089656362Z" }, "github": { "repo": "knowledgator/gliclass", "checkedAt": "2026-10-26T07:38:16.448437911Z", "stars": 573, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-24T17:45:19Z", "openIssues": 15, "openPRs": 1, "issuesOpened90d": 1, "issuesClosed90d": 1, "prsMerged90d": 5, "ci": { "branch": "main", "runs": 11, "success": 8, "failure": 3, "other": 0, "latest": "success", "latestAt": "2026-10-16T13:22:08Z" }, "replies": { "sampled": 20, "unanswered": 9, "medianDays": 5.9 } }, "updatedAt": "2026-10-30T15:39:27.699283146Z" } }, "answer": "RightNow System Zero scores 66.8 (B) on agent readiness against GLiClass's 50 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.", "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": "Knowledgator", "b": "RightNow AI, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.rightnowai.co/v1/system-zero/decide", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, websocket", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (library and the model weights we checked)", "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": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-07-21", "b": "2026-10-27", "name": "Last release" }, { "a": "no document linked", "b": "no date given", "name": "Terms last updated" }, { "a": "no document linked", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "", "b": "yes", "name": "Customer content may train models" }, { "a": "", "b": "yes", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "555 stars, 13k PyPI/wk", "b": "none", "name": "Popularity" } ], "faq": [ { "answer": "RightNow System Zero scores 66.8 (B) on agent readiness against GLiClass's 50 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.", "question": "Which is better for AI agents, GLiClass or RightNow System Zero?" }, { "answer": "GLiClass needs no key. RightNow System Zero needs an API key.", "question": "Do GLiClass and RightNow System Zero need an API key?" }, { "answer": "No hosted endpoint is listed for GLiClass. RightNow System Zero has a hosted endpoint at https://api.rightnowai.co/v1/system-zero/decide.", "question": "Can an agent call GLiClass and RightNow System Zero without installing anything?" }, { "answer": "GLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for RightNow System Zero.", "question": "Are GLiClass and RightNow System Zero open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 40" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.", "slug": "gliclass", "watchFor": "No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic" }, { "aheadOn": [ "Reliability, 50 against 43", "Schema \u0026 documentation, 83 against 49", "Agent ergonomics, 86 against 60", "Security \u0026 auth, 70 against 38", "Maintenance \u0026 community, 68 against 44", "Transparency \u0026 trust, 70 against 65" ], "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" } ], "job": { "capability": "inference.decision", "name": "Decision models" }, "others": [ { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.json", "title": "Celeris-1 Decision vs GLiClass", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass" }, { "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-gliclass.json", "title": "Clef vs GLiClass", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass" }, { "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-gliclass.json", "title": "Laya vs GLiClass", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass" }, { "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-gliclass.json", "title": "Decider vs GLiClass", "url": "https://www.anchorterminal.com/compare/decider-vs-gliclass" }, { "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-gliclass.json", "title": "Decision 3.0 vs GLiClass", "url": "https://www.anchorterminal.com/compare/decision-3-vs-gliclass" }, { "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-granite-switch.json", "title": "GLiClass vs Granite Switch 4.1", "url": "https://www.anchorterminal.com/compare/gliclass-vs-granite-switch" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.json", "title": "GLiClass vs Kev", "url": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev" }, { "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-microsoft-decision-1.json", "title": "GLiClass vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.json", "title": "GLiClass vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/gliclass-vs-nace-drex" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.json", "title": "GLiClass vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider.json", "title": "GLiClass vs pplx-decider", "url": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash.json", "title": "GLiClass vs pplx-decider-flash", "url": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-scaledown.json", "title": "GLiClass vs ScaleDown", "url": "https://www.anchorterminal.com/compare/gliclass-vs-scaledown" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.json", "title": "GLiClass vs SPEV", "url": "https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.json", "title": "GLiClass vs kettei", "url": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.json", "title": "GLiClass vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.json", "title": "GLiClass vs Jev", "url": "https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev" }, { "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/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-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/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": 7, "edge": "rightnow-system-zero", "gliclass": 43, "key": "reliability", "name": "Reliability", "rightnow-system-zero": 50, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 34, "edge": "rightnow-system-zero", "gliclass": 49, "key": "schema", "name": "Schema \u0026 documentation", "rightnow-system-zero": 83, "weight": 13 }, { "by": 26, "edge": "rightnow-system-zero", "gliclass": 60, "key": "ergonomics", "name": "Agent ergonomics", "rightnow-system-zero": 86, "weight": 13 }, { "by": 32, "edge": "rightnow-system-zero", "gliclass": 38, "key": "security", "name": "Security \u0026 auth", "rightnow-system-zero": 70, "weight": 14 }, { "by": 20, "edge": "gliclass", "gliclass": 60, "key": "payments", "name": "Payments \u0026 pricing", "rightnow-system-zero": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 24, "edge": "rightnow-system-zero", "gliclass": 44, "key": "maintenance", "name": "Maintenance \u0026 community", "rightnow-system-zero": 68, "weight": 7 }, { "by": 5, "edge": "rightnow-system-zero", "gliclass": 65, "key": "transparency", "name": "Transparency \u0026 trust", "rightnow-system-zero": 70, "weight": 7 } ], "summary": "RightNow System Zero scores 66.8 (B) on agent readiness against GLiClass's 50 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing. Both do decision models.", "tutorials": [], "verdicts": { "gliclass": "An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.", "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/gliclass-vs-rightnow-system-zero", "json": "https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.min.md" }, "markdown": "RightNow System Zero scores 66.8 (B) on agent readiness against GLiClass's 50 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing. Both do decision models.\n\n- GLiClass: grade D, 50/100, rank #952 of 1244. Markdown https://www.anchorterminal.com/tools/gliclass.md · JSON https://www.anchorterminal.com/api/v1/tools/gliclass.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### GLiClass (D)\n\nGood for: Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 40\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic\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 43\n- Schema \u0026 documentation, 83 against 49\n- Agent ergonomics, 86 against 60\n- Security \u0026 auth, 70 against 38\n- Maintenance \u0026 community, 68 against 44\n- Transparency \u0026 trust, 70 against 65\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\n## Score by category\n\n| Category | Weight | GLiClass | RightNow System Zero | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 43 | 50 | RightNow System Zero +7 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 49 | 83 | RightNow System Zero +34 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 86 | RightNow System Zero +26 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 70 | RightNow System Zero +32 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | GLiClass +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 44 | 68 | RightNow System Zero +24 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 70 | RightNow System Zero +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50 · D** | **66.8 · B** | |\n\n## Facts side by side\n\n| Fact | GLiClass | RightNow System Zero |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Knowledgator | RightNow AI, Inc. |\n| Hosted endpoint | no (local only) | `https://api.rightnowai.co/v1/system-zero/decide` |\n| Transports | HTTP | HTTP, websocket |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (library and the model weights we checked) | 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 | no | yes |\n| Last release | 2026-07-21 | 2026-10-27 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | no date given |\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 | 555 stars, 13k PyPI/wk | none |\n\n## Verdicts\n\n**GLiClass.** An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.\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### GLiClass\n\n1. Pass `--host 127.0.0.1` to `python -m gliclass.serve`, or put the port behind your own gateway. The server checks no credential\n2. On a machine without a GPU add `--device cpu --dtype float32 --num-gpus-per-replica 0`. The default configuration expects CUDA\n3. Send one text a request to `POST /gliclass`. An array in `texts` is cut to its first item without an error\n4. Set `multi_label` to false for one label from a set. The default scores each label independently, so scores do not sum to 1\n5. Keep text plus labels under the pipeline's 1,024-token `max_length`, or use `ZeroShotClassificationWithChunkingPipeline`. Longer input is truncated silently\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, GLiClass or RightNow System Zero?\n\nRightNow System Zero scores 66.8 (B) on agent readiness against GLiClass's 50 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.\n\n### Do GLiClass and RightNow System Zero need an API key?\n\nGLiClass needs no key. RightNow System Zero needs an API key.\n\n### Can an agent call GLiClass and RightNow System Zero without installing anything?\n\nNo hosted endpoint is listed for GLiClass. RightNow System Zero has a hosted endpoint at https://api.rightnowai.co/v1/system-zero/decide.\n\n### Are GLiClass and RightNow System Zero open source?\n\nGLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for RightNow System Zero.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gliclass\", \"b\": \"rightnow-system-zero\"}`. From a terminal: `anchor compare gliclass rightnow-system-zero`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gliclass.json and https://www.anchorterminal.com/api/v1/tools/rightnow-system-zero.json\n\n## Other comparisons with GLiClass or RightNow System Zero\n\n- [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.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 GLiClass](https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.md)\n- [Clef vs RightNow System Zero](https://www.anchorterminal.com/compare/cloudflare-clef-vs-rightnow-system-zero.md)\n- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.md)\n- [Laya vs RightNow System Zero](https://www.anchorterminal.com/compare/convai-laya-vs-rightnow-system-zero.md)\n- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)\n- [Decider vs RightNow System Zero](https://www.anchorterminal.com/compare/decider-vs-rightnow-system-zero.md)\n- [Decision 3.0 vs GLiClass](https://www.anchorterminal.com/compare/decision-3-vs-gliclass.md)\n- [Decision 3.0 vs RightNow System Zero](https://www.anchorterminal.com/compare/decision-3-vs-rightnow-system-zero.md)\n- [GLiClass vs Granite Switch 4.1](https://www.anchorterminal.com/compare/gliclass-vs-granite-switch.md)\n- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)\n- [GLiClass vs Liquid d1](https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.md)\n- [GLiClass vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.md)\n- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)\n- [GLiClass vs OpenAI Decisions API](https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.md)\n- [GLiClass vs pplx-decider](https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider.md)\n- [GLiClass vs pplx-decider-flash](https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash.md)\n- [GLiClass vs ScaleDown](https://www.anchorterminal.com/compare/gliclass-vs-scaledown.md)\n- [GLiClass vs SPEV](https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [GLiClass vs Jev](https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.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- [Kev vs RightNow System Zero](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-rightnow-system-zero.md)\n- [Liquid d1 vs RightNow System Zero](https://www.anchorterminal.com/compare/liquid-d1-vs-rightnow-system-zero.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": "GLiClass vs RightNow System Zero", "url": "" } ], "description": "RightNow System Zero scores 66.8 (B) to GLiClass's 50 (D) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "GLiClass D 50", "RightNow System Zero B 66.8", "scores" ], "h1": "GLiClass vs RightNow System Zero", "image": "https://www.anchorterminal.com/assets/og/compare-gliclass-vs-rightnow-system-zero.png", "path": "/compare/gliclass-vs-rightnow-system-zero", "published": "2026-10-01", "section": "tools", "title": "GLiClass vs RightNow System Zero for AI agents (2026)", "toc": null, "updated": "2026-10-31", "url": "https://www.anchorterminal.com/compare/gliclass-vs-rightnow-system-zero" }, "tokens": { "markdown": 3050, "slim": 730 }, "version": 1 }