{
  "data": {
    "a": {
      "slug": "cuelight",
      "name": "CueLight",
      "vendor": "sshah03 (individual developer, name not stated)",
      "vendorUrl": "https://sshah03.github.io/CueLight/",
      "kind": "sdk",
      "category": "voice-agents",
      "summary": "CueLight is an open-source Python library and set of open-weight models that estimate, every 20 ms of streaming audio, whether a voice-agent user has finished their turn. It runs locally from audio alone, in English.",
      "url": "https://www.anchorterminal.com/tools/cuelight",
      "markdownUrl": "https://www.anchorterminal.com/tools/cuelight.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cuelight.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cuelight.json",
      "repo": "https://github.com/sshah03/CueLight",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [],
      "auth": "none",
      "authNotes": "None. The library runs in the caller's process and opens no port. Weights download anonymously from Hugging Face (sshah03/cuelight-nano, -nano-ssm, -base) on first use, or load from a local folder.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0 for code and weights, with no hosted or paid option. The owner pays only for the CPU it runs on. Conditions carried over from the training data ask that it not be used to identify speakers or clone voices.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the source, README or demo page (checked 2026-10-15). There is nothing to buy.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 10,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-15"
      },
      "docsUrl": "https://github.com/sshah03/CueLight#quick-start",
      "capabilities": [
        "voice.pipeline",
        "inference.open-weights"
      ],
      "tags": [
        "sdk",
        "open-source",
        "open-weights",
        "local",
        "self-hosted",
        "python",
        "free",
        "no-card",
        "apache-2.0",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-14",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 48.8,
        "grade": "D",
        "agentReady": false,
        "rank": 873,
        "ranked": true,
        "rankOf": 1094,
        "categoryRank": 14,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 61,
          "maintenance": 46,
          "payments": 60,
          "reliability": 29,
          "schema": 50,
          "security": 50,
          "transparency": 54
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-15"
        },
        "negative": 0,
        "verdict": "CueLight gives a voice pipeline a local end-of-turn probability every 20 ms from audio alone, with a 1.9 MB model and Apache-2.0 weights. It is one day old, English only, installs from Git rather than PyPI, has no CI or changelog, and its accuracy figures are the author's own.",
        "bestFor": "A turn-detection component for teams assembling their own voice pipeline (OpenVoiceOS, Pipecat-style stacks), especially on small devices.",
        "strengths": [
          "Apache-2.0 code and weights, with every training dataset and teacher model named in NOTICE",
          "Nano is 0.5M parameters and 1.9 MB, with ONNX step files for non-Python runtimes",
          "Works from audio alone and updates during speech, not only at pauses",
          "Two tuned presets and a custom policy, behind a four-name Python interface",
          "Weights load from safetensors, and no telemetry was found in the source"
        ],
        "weaknesses": [
          "English only, and the author does not plan other languages soon",
          "Not on PyPI, no tags, releases, changelog or CI, and one commit at the check",
          "Benchmarks are self-reported, and the presets were tuned on half of the benchmark they are scored on",
          "Weights download from Hugging Face main branches with no pinned revision",
          "An unknown preset name falls back silently to default thresholds"
        ],
        "agentNotes": [
          "Feed 320 float32 samples at 16 kHz mono per `push`. Resample first, or the call raises an AssertionError",
          "Spell the preset as `snappy` or `careful`. Any other name silently uses default thresholds",
          "Call `clear()` before a new call or session. Pass `reset_on_turn_start=False` if your pipeline already resets per turn",
          "Pin weights by downloading them to a local folder and passing that path to `from_pretrained`",
          "Don't use it to identify speakers or clone voices. The training data's conditions forbid it"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 48.8
          }
        ],
        "editorialScores": {
          "ergonomics": 61,
          "maintenance": 46,
          "payments": 60,
          "reliability": 29,
          "schema": 50,
          "security": 50,
          "transparency": 67
        },
        "provenanceScore": 40
      },
      "connect": {
        "install": "pip install git+https://github.com/sshah03/CueLight"
      },
      "letme": {
        "capability": "https://letme.dev/voice.pipeline",
        "tool": "https://letme.dev/cuelight"
      },
      "area": "voice",
      "provenance": {
        "legalEntity": "sshah03 (individual GitHub account, no name or organisation stated)",
        "domain": "sshah03.github.io",
        "domainRegistered": "",
        "domainNote": "A library and model weights, not a service. Code on github.com/sshah03, weights on huggingface.co/sshah03, demo on GitHub Pages. No domain of its own.",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-15",
        "notes": [
          "The LICENSE is Apache-2.0 and NOTICE reads Copyright 2026 sshah03, with third-party model and dataset licences in NOTICE and LICENSES/.",
          "The GitHub account sshah03 was created on 10 July 2012 and gives no name, company or website.",
          "No terms or privacy document governs the library or the demo page. Nothing is hosted beyond static GitHub Pages files, so both fields are left out.",
          "No changelog, tags or GitHub releases. The repository has no SECURITY.md, and github.io serves no security.txt for the project.",
          "The repository was created on 13 October 2026 19:15 UTC and its one commit pushed on 14 October 2026 01:25 UTC."
        ],
        "score": 40
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cuelight.json"
    },
    "answer": "ElevenLabs Agents API + MCP scores 71.3 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on payments \u0026 pricing.",
    "b": {
      "slug": "elevenlabs-agents",
      "name": "ElevenLabs Agents API + MCP",
      "vendor": "ElevenLabs",
      "vendorUrl": "https://elevenlabs.io",
      "kind": "http-api",
      "category": "voice-agents",
      "summary": "ElevenAgents (formerly Conversational AI) runs hosted voice agents as a pipeline of a fine-tuned ElevenLabs ASR model, an LLM of your choice or your own, ElevenLabs TTS and a proprietary turn-taking model.",
      "url": "https://www.anchorterminal.com/tools/elevenlabs-agents",
      "markdownUrl": "https://www.anchorterminal.com/tools/elevenlabs-agents.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/elevenlabs-agents.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/elevenlabs-agents.json",
      "repo": "https://github.com/elevenlabs/packages",
      "license": "MIT (SDKs)",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.elevenlabs.io/v1/convai",
      "packages": [
        {
          "registry": "npm",
          "name": "@elevenlabs/client"
        },
        {
          "registry": "npm",
          "name": "@elevenlabs/react"
        },
        {
          "registry": "pypi",
          "name": "elevenlabs"
        }
      ],
      "auth": "mixed",
      "authNotes": "`xi-api-key` header for the management API. Public agents can be joined from a browser with just the agent ID. Private agents need a signed URL or conversation token minted server-side. The hosted MCP at `https://api.elevenlabs.io/v1/mcp` signs in with OAuth.",
      "pricing": "freemium",
      "pricingNotes": "Billed per call minute, separate from the credit pool. Free includes 15 minutes, Starter $6 75, Creator $22 275, Pro $99 1,238, Scale $299 3,738 and Business $990 12,375. Extra minutes cost $0.08, burst minutes above the concurrency cap $0.16, and text messages $0.003 each. LLM usage is billed on top at the model's rate, and your telephony provider bills you directly (https://elevenlabs.io/pricing/agents).",
      "priceSummary": "$22 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 or machine payment in the docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 114,
        "npmWeekly": 1231322,
        "pypiWeekly": 2223099,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://elevenlabs.io/docs/eleven-agents/overview",
      "llmsTxt": "https://elevenlabs.io/docs/llms.txt",
      "openapi": "https://api.elevenlabs.io/openapi.json",
      "registryName": "io.elevenlabs/mcp",
      "capabilities": [
        "voice.agent",
        "voice.pipeline",
        "voice.tools",
        "voice.telephony"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "closed-source",
        "python",
        "typescript",
        "openapi",
        "llms-txt",
        "mcp",
        "pipeline",
        "webhooks",
        "enterprise"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 133,
        "ranked": true,
        "rankOf": 1094,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 77,
          "maintenance": 85,
          "payments": 35,
          "reliability": 60,
          "schema": 92,
          "security": 76,
          "transparency": 77
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "API keys scoped to endpoint groups, with per-key credit limits and service accounts. $0.08 a minute excludes LLM tokens and carrier minutes.",
        "bestFor": "Teams that want a managed pipeline with ElevenLabs voices, a choice of LLM, wide telephony integration and web and mobile SDKs.",
        "strengths": [
          "API keys scoped to endpoint groups, with per-key credit limits and service accounts",
          "Hosted MCP server that signs in with OAuth, with EU, India and Singapore endpoints",
          "Public OpenAPI, llms.txt and an errors page with codes, fixes and request IDs",
          "Per-agent retention in days and per-agent zero retention mode",
          "Weekly changelog entries and SDKs for Python, JavaScript and mobile"
        ],
        "weaknesses": [
          "$0.08 a minute excludes LLM tokens and carrier minutes",
          "At least six incidents since July where agent calls failed or didn't start",
          "Conversation data kept 2 years by default",
          "Audit logs and HIPAA BAAs only on Enterprise",
          "No SLA on self-serve plans"
        ],
        "agentNotes": [
          "Create a key scoped to the agents endpoints with a credit limit before handing it to an agent",
          "Back off exponentially on `rate_limit_exceeded`, and wait for calls to finish on `concurrent_limit_exceeded`",
          "Use signed URLs or conversation tokens for private agents instead of exposing the API key",
          "Set `platform_settings.privacy.retention_days` where you don't need 2 years of history",
          "Pick a low-latency LLM, the pipeline waits on it every turn"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.3
          }
        ],
        "editorialScores": {
          "ergonomics": 77,
          "maintenance": 85,
          "payments": 35,
          "reliability": 60,
          "schema": 92,
          "security": 76,
          "transparency": 65
        },
        "provenanceScore": 89
      },
      "connect": {
        "http": "curl -X POST https://api.elevenlabs.io/v1/convai/agents/create -H \"xi-api-key: $ELEVENLABS_API_KEY\" \\\n  -H \"content-type: application/json\" \\\n  -d '{\"conversation_config\":{\"agent\":{\"first_message\":\"Hi, how can I help?\",\"prompt\":{\"prompt\":\"You take restaurant bookings.\"}}}}'",
        "claudeCode": "claude mcp add --transport http elevenlabs https://api.elevenlabs.io/v1/mcp"
      },
      "letme": {
        "capability": "https://letme.dev/voice.agent",
        "tool": "https://letme.dev/elevenlabs-agents"
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      "sameCompany": [
        "elevenlabs-music",
        "elevenlabs-scribe",
        "elevenlabs-tts",
        "elevenlabs-voice-cloning"
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      "area": "voice",
      "unitPrices": [
        {
          "item": "Agent call",
          "unit": "call-minute",
          "usd": 0.08,
          "note": "platform fee only, LLM and carrier extra"
        },
        {
          "item": "Burst call above concurrency",
          "unit": "call-minute",
          "usd": 0.16
        },
        {
          "item": "Text message",
          "unit": "message",
          "usd": 0.003
        },
        {
          "item": "Creator plan",
          "unit": "month",
          "usd": 22,
          "note": "275 call minutes, 10 concurrent calls"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 99,
          "note": "1,238 call minutes, 20 concurrent calls"
        }
      ],
      "provenance": {
        "legalEntity": "Eleven Labs Inc.",
        "domain": "elevenlabs.io",
        "domainRegistered": "2021-12-15",
        "endpointOnVendorDomain": true,
        "terms": "https://elevenlabs.io/terms-of-use",
        "privacy": "https://elevenlabs.io/privacy-policy",
        "statusPage": "https://status.elevenlabs.io",
        "changelog": "https://elevenlabs.io/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-09-30",
        "score": 89
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/elevenlabs-agents.json",
      "live": {
        "slug": "elevenlabs-agents",
        "probe": {
          "target": "https://api.elevenlabs.io/v1/convai",
          "method": "get",
          "lastAt": "2026-10-15T11:29:52.625900412Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 147,
          "authRequired": false,
          "uptime24h": 99.61,
          "uptime30d": 99.97,
          "p50ms24h": 154,
          "p95ms24h": 225,
          "samples24h": 254,
          "samples30d": 3797,
          "days": [
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              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
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              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
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            {
              "date": "2026-10-02",
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              "ok": 248
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            {
              "date": "2026-10-03",
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              "ok": 271
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            {
              "date": "2026-10-04",
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              "ok": 272
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              "date": "2026-10-05",
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              "date": "2026-10-07",
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              "date": "2026-10-08",
              "probes": 268,
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              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
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              "date": "2026-10-10",
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              "date": "2026-10-11",
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              "date": "2026-10-12",
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              "date": "2026-10-13",
              "probes": 248,
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              "date": "2026-10-14",
              "probes": 249,
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              "date": "2026-10-15",
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        "vendorStatus": {
          "page": "https://status.elevenlabs.io",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-15T11:31:59.108937937Z"
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        "githubStars": 114,
        "npmWeekly": 1162606,
        "pypiWeekly": 2214127,
        "securityTxt": {
          "url": "https://elevenlabs.io/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-06T00:00:00.000Z",
          "checkedAt": "2026-10-14T15:46:41.924074334Z"
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        "llmsTxt": {
          "url": "https://elevenlabs.io/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-14T14:13:58.328048633Z"
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        "domain": {
          "domain": "elevenlabs.io",
          "checkedAt": "2026-10-11T13:12:52.95183386Z"
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        "pages": [
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            "status": 304,
            "checkedAt": "2026-10-14T21:00:09.915303914Z",
            "changedAt": "2026-10-14T20:41:43.535202932Z",
            "fingerprint": "f1b48d848908"
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          {
            "url": "https://elevenlabs.io/pricing/agents",
            "kind": "pricing",
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            "fingerprint": "88eeeebe6baf"
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            "url": "https://elevenlabs.io/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-14T21:00:19.97210496Z",
            "changedAt": "2026-10-14T20:41:53.570052557Z",
            "fingerprint": "81edfec9ee0d"
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          {
            "url": "https://elevenlabs.io/terms-of-use",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-14T21:00:22.03231278Z",
            "changedAt": "2026-10-13T20:16:41.591694515Z",
            "fingerprint": "c166f437bb16"
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        "updatedAt": "2026-10-15T11:31:59.108937937Z"
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    },
    "facts": [
      {
        "a": "SDK + MCP",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "sshah03 (individual developer, name not stated)",
        "b": "ElevenLabs",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.elevenlabs.io/v1/convai",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "MIT (SDKs)",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.elevenlabs/mcp",
        "name": "MCP registry"
      },
      {
        "a": "2026-10-14",
        "b": "2026-09-29",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2026-03-31",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-05-20",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "yes, with an opt-out",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "10 stars",
        "b": "114 stars, 1.2M npm/wk, 2.2M PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "ElevenLabs Agents API + MCP scores 71.3 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, CueLight or ElevenLabs Agents API + MCP?"
      },
      {
        "answer": "No hosted endpoint is listed for CueLight. ElevenLabs Agents API + MCP has a hosted endpoint at https://api.elevenlabs.io/v1/convai.",
        "question": "Can an agent call CueLight and ElevenLabs Agents API + MCP without installing anything?"
      },
      {
        "answer": "CueLight is open source (Apache-2.0). No open-source release is listed for ElevenLabs Agents API + MCP.",
        "question": "Are CueLight and ElevenLabs Agents API + MCP open source?"
      }
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    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 35"
        ],
        "also": [
          "No key needed to call it",
          "Free to start without a card",
          "Open source"
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        "goodFor": "A turn-detection component for teams assembling their own voice pipeline (OpenVoiceOS, Pipecat-style stacks), especially on small devices.",
        "slug": "cuelight",
        "watchFor": "English only, and the author does not plan other languages soon"
      },
      {
        "aheadOn": [
          "Reliability, 60 against 29",
          "Schema \u0026 documentation, 92 against 50",
          "Agent ergonomics, 77 against 61",
          "Security \u0026 auth, 76 against 50",
          "Maintenance \u0026 community, 85 against 46",
          "Transparency \u0026 trust, 77 against 54"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Teams that want a managed pipeline with ElevenLabs voices, a choice of LLM, wide telephony integration and web and mobile SDKs.",
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      {
        "json": "https://www.anchorterminal.com/compare/bolna-vs-elevenlabs-agents.json",
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        "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-elevenlabs-agents.json",
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      {
        "json": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-gemini-live.json",
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        "url": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-openai-realtime"
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        "json": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-retell-ai.json",
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        "url": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-retell-ai"
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        "json": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-synthflow.json",
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        "title": "AssemblyAI Voice Agent API vs CueLight",
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      {
        "json": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.json",
        "title": "Bland AI API + MCP vs CueLight",
        "url": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight"
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      {
        "json": "https://www.anchorterminal.com/compare/bolna-vs-cuelight.json",
        "title": "Bolna API + MCP vs CueLight",
        "url": "https://www.anchorterminal.com/compare/bolna-vs-cuelight"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent.json",
        "title": "CueLight vs Deepgram Voice Agent API",
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        "cuelight": 29,
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        "elevenlabs-agents": 60,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
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        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 42,
        "cuelight": 50,
        "edge": "elevenlabs-agents",
        "elevenlabs-agents": 92,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 16,
        "cuelight": 61,
        "edge": "elevenlabs-agents",
        "elevenlabs-agents": 77,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 26,
        "cuelight": 50,
        "edge": "elevenlabs-agents",
        "elevenlabs-agents": 76,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 25,
        "cuelight": 60,
        "edge": "cuelight",
        "elevenlabs-agents": 35,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 39,
        "cuelight": 46,
        "edge": "elevenlabs-agents",
        "elevenlabs-agents": 85,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 23,
        "cuelight": 54,
        "edge": "elevenlabs-agents",
        "elevenlabs-agents": 77,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "ElevenLabs Agents API + MCP scores 71.3 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on payments \u0026 pricing. Both do voice pipeline.",
    "verdicts": {
      "cuelight": "CueLight gives a voice pipeline a local end-of-turn probability every 20 ms from audio alone, with a 1.9 MB model and Apache-2.0 weights. It is one day old, English only, installs from Git rather than PyPI, has no CI or changelog, and its accuracy figures are the author's own.",
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    }
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  "markdown": "ElevenLabs Agents API + MCP scores 71.3 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on payments \u0026 pricing. Both do voice pipeline.\n\n- CueLight: grade D, 48.8/100, rank #873 of 1094. Markdown https://www.anchorterminal.com/tools/cuelight.md · JSON https://www.anchorterminal.com/api/v1/tools/cuelight.json\n- ElevenLabs Agents API + MCP: grade BB, 71.3/100, rank #133 of 1094. Markdown https://www.anchorterminal.com/tools/elevenlabs-agents.md · JSON https://www.anchorterminal.com/api/v1/tools/elevenlabs-agents.json\n- Best conversational voice-agent APIs: https://www.anchorterminal.com/best/voice-agents/index.md\n- All 102 voice agents comparisons: https://www.anchorterminal.com/compare/voice-agents/index.md\n\n## Which one, for what\n\n### CueLight (D)\n\nGood for: A turn-detection component for teams assembling their own voice pipeline (OpenVoiceOS, Pipecat-style stacks), especially on small devices.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 35\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n\nWatch for: English only, and the author does not plan other languages soon\n\n### ElevenLabs Agents API + MCP (BB)\n\nGood for: Teams that want a managed pipeline with ElevenLabs voices, a choice of LLM, wide telephony integration and web and mobile SDKs.\n\nAhead on:\n- Reliability, 60 against 29\n- Schema \u0026 documentation, 92 against 50\n- Agent ergonomics, 77 against 61\n- Security \u0026 auth, 76 against 50\n- Maintenance \u0026 community, 85 against 46\n- Transparency \u0026 trust, 77 against 54\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n\nWatch for: $0.08 a minute excludes LLM tokens and carrier minutes\n\n\n## Score by category\n\n| Category | Weight | CueLight | ElevenLabs Agents API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 29 | 60 | ElevenLabs Agents API + MCP +31 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 50 | 92 | ElevenLabs Agents API + MCP +42 |\n| Agent ergonomics | 13% (16.2 this run) | 61 | 77 | ElevenLabs Agents API + MCP +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 76 | ElevenLabs Agents API + MCP +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 35 | CueLight +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 46 | 85 | ElevenLabs Agents API + MCP +39 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 77 | ElevenLabs Agents API + MCP +23 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **48.8 · D** | **71.3 · BB** | |\n\n## Facts side by side\n\n| Fact | CueLight | ElevenLabs Agents API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | sshah03 (individual developer, name not stated) | ElevenLabs |\n| Hosted endpoint | no (local only) | `https://api.elevenlabs.io/v1/convai` |\n| Transports |  | HTTP, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.elevenlabs/mcp` |\n| Last release | 2026-10-14 | 2026-09-29 |\n| Terms last updated | no document linked | 2026-03-31 |\n| Privacy policy last updated | no document linked | 2026-05-20 |\n| Customer content may train models |  | yes, with an opt-out |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | not found in the text |\n| Terms or service can change without notice |  | yes |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 10 stars | 114 stars, 1.2M npm/wk, 2.2M PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**CueLight.** CueLight gives a voice pipeline a local end-of-turn probability every 20 ms from audio alone, with a 1.9 MB model and Apache-2.0 weights. It is one day old, English only, installs from Git rather than PyPI, has no CI or changelog, and its accuracy figures are the author's own.\n\n**ElevenLabs Agents API + MCP.** API keys scoped to endpoint groups, with per-key credit limits and service accounts. $0.08 a minute excludes LLM tokens and carrier minutes.\n\n## Before you call either\n\n### CueLight\n\n1. Feed 320 float32 samples at 16 kHz mono per `push`. Resample first, or the call raises an AssertionError\n2. Spell the preset as `snappy` or `careful`. Any other name silently uses default thresholds\n3. Call `clear()` before a new call or session. Pass `reset_on_turn_start=False` if your pipeline already resets per turn\n4. Pin weights by downloading them to a local folder and passing that path to `from_pretrained`\n5. Don't use it to identify speakers or clone voices. The training data's conditions forbid it\n\n### ElevenLabs Agents API + MCP\n\n1. Create a key scoped to the agents endpoints with a credit limit before handing it to an agent\n2. Back off exponentially on `rate_limit_exceeded`, and wait for calls to finish on `concurrent_limit_exceeded`\n3. Use signed URLs or conversation tokens for private agents instead of exposing the API key\n4. Set `platform_settings.privacy.retention_days` where you don't need 2 years of history\n5. Pick a low-latency LLM, the pipeline waits on it every turn\n\n## Questions\n\n### Which is better for AI agents, CueLight or ElevenLabs Agents API + MCP?\n\nElevenLabs Agents API + MCP scores 71.3 (BB) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on payments \u0026 pricing.\n\n### Can an agent call CueLight and ElevenLabs Agents API + MCP without installing anything?\n\nNo hosted endpoint is listed for CueLight. ElevenLabs Agents API + MCP has a hosted endpoint at https://api.elevenlabs.io/v1/convai.\n\n### Are CueLight and ElevenLabs Agents API + MCP open source?\n\nCueLight is open source (Apache-2.0). No open-source release is listed for ElevenLabs Agents API + MCP.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cuelight\", \"b\": \"elevenlabs-agents\"}`. From a terminal: `anchor compare cuelight elevenlabs-agents`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cuelight.json and https://www.anchorterminal.com/api/v1/tools/elevenlabs-agents.json\n\n## Other comparisons with CueLight or ElevenLabs Agents API + MCP\n\n- [AssemblyAI Voice Agent API vs ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-elevenlabs-agents.md)\n- [Bland AI API + MCP vs ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/bland-ai-vs-elevenlabs-agents.md)\n- [Bolna API + MCP vs ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/bolna-vs-elevenlabs-agents.md)\n- [Deepgram Voice Agent API vs ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-elevenlabs-agents.md)\n- [ElevenLabs Agents API + MCP vs Gemini Live API](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-gemini-live.md)\n- [ElevenLabs Agents API + MCP vs Hume EVI (Empathic Voice Interface)](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-hume-evi.md)\n- [ElevenLabs Agents API + MCP vs OpenAI Realtime API](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-openai-realtime.md)\n- [ElevenLabs Agents API + MCP vs Retell AI API + MCP](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-retell-ai.md)\n- [ElevenLabs Agents API + MCP vs Synthflow API + MCP](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-synthflow.md)\n- [ElevenLabs Agents API + MCP vs Ultravox Realtime API](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-ultravox.md)\n- [ElevenLabs Agents API + MCP vs Vapi API + MCP](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-vapi.md)\n- [ElevenLabs Agents API + MCP vs Vocily AI](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-vocily.md)\n- [ElevenLabs Agents API + MCP vs Vogent API](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-vogent.md)\n- [AssemblyAI Voice Agent API vs CueLight](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-cuelight.md)\n- [Bland AI API + MCP vs CueLight](https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.md)\n- [Bolna API + MCP vs CueLight](https://www.anchorterminal.com/compare/bolna-vs-cuelight.md)\n- [CueLight vs Deepgram Voice Agent API](https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent.md)\n- [CueLight vs Hume EVI (Empathic Voice Interface)](https://www.anchorterminal.com/compare/cuelight-vs-hume-evi.md)\n- [CueLight vs Retell AI API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-retell-ai.md)\n- [CueLight vs Synthflow API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-synthflow.md)\n- [CueLight vs Vapi API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-vapi.md)\n- [CueLight vs Vocily AI](https://www.anchorterminal.com/compare/cuelight-vs-vocily.md)\n- [CueLight vs Vogent API](https://www.anchorterminal.com/compare/cuelight-vs-vogent.md)\n",
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