{
  "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": "Deepgram Voice Agent API scores 68.1 (B) 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": "deepgram-voice-agent",
      "name": "Deepgram Voice Agent API",
      "vendor": "Deepgram",
      "vendorUrl": "https://deepgram.com",
      "kind": "http-api",
      "category": "voice-agents",
      "summary": "One WebSocket that runs Deepgram STT (Flux or Nova-3), a managed or bring-your-own LLM and Deepgram or third-party TTS, with turn-taking, barge-in and function calling.",
      "url": "https://www.anchorterminal.com/tools/deepgram-voice-agent",
      "markdownUrl": "https://www.anchorterminal.com/tools/deepgram-voice-agent.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepgram-voice-agent.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepgram-voice-agent.json",
      "repo": "https://github.com/deepgram/deepgram-python-sdk",
      "license": "MIT (SDKs)",
      "transports": [
        "http",
        "streamable-http",
        "stdio",
        "sse"
      ],
      "remoteUrl": "https://agent.deepgram.com/v1/agent",
      "packages": [
        {
          "registry": "npm",
          "name": "@deepgram/sdk"
        },
        {
          "registry": "pypi",
          "name": "deepgram-sdk"
        },
        {
          "registry": "pypi",
          "name": "deepctl"
        }
      ],
      "auth": "api-key",
      "authNotes": "`Authorization: Token \u003ckey\u003e` header on REST and WebSocket calls. Short-lived JWTs (30-second TTL) from the token endpoint for browsers. The `dg` CLI MCP server uses `dg login` credentials or `DEEPGRAM_API_KEY`. The docs MCP needs no key. BYO LLM and TTS providers take their own keys in the `endpoint.headers` of the Settings message.",
      "pricing": "usage",
      "pricingNotes": "Billed per minute of WebSocket connection time. Standard $0.075 a minute pay as you go ($0.068 Growth), Standard with your own TTS $0.065, your own LLM and TTS $0.050 ($0.041 Growth). Advanced tier (larger LLMs such as GPT-5 or Claude Sonnet) $0.163, or $0.122 with your own TTS. $200 free credit with no card. Carrier costs are extra (https://deepgram.com/pricing).",
      "priceSummary": "Pay per use",
      "where": "both",
      "x402": {
        "level": "no",
        "evidence": "No x402 or machine payment in the docs or pricing. Card or prepaid credits only (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 468,
        "npmWeekly": 1123798,
        "pypiWeekly": 805026,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://developers.deepgram.com/docs/voice-agent",
      "llmsTxt": "https://developers.deepgram.com/llms.txt",
      "capabilities": [
        "voice.agent",
        "voice.pipeline",
        "voice.tools"
      ],
      "tags": [
        "hosted",
        "no-card",
        "closed-source",
        "python",
        "typescript",
        "llms-txt",
        "mcp",
        "streaming",
        "pipeline",
        "enterprise",
        "self-hosted"
      ],
      "lastRelease": "2026-09-30",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 68.1,
        "grade": "B",
        "agentReady": false,
        "rank": 241,
        "ranked": true,
        "rankOf": 1094,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 67,
          "maintenance": 85,
          "payments": 40,
          "reliability": 55,
          "schema": 90,
          "security": 71,
          "transparency": 77
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "$0.075 a minute all in on Standard, $0.050 with your own LLM and TTS, $200 of credit with no card. No phone numbers or SIP, so you bridge Twilio or another carrier yourself.",
        "bestFor": "Developers who already run telephony (Twilio, Amazon Connect, Genesys, AudioCodes) and want a cheap managed pipeline with their choice of LLM.",
        "strengths": [
          "$0.075 a minute all in on Standard, $0.050 with your own LLM and TTS, $200 of credit with no card",
          "AsyncAPI description of the agent socket plus a public OpenAPI file",
          "Role-based API keys with expiry and 30-second browser tokens",
          "SDKs in Python, JavaScript, Java, Go, C# and React, updated in September 2026",
          "Function-call hold that waits for a confirmed user turn before irreversible tools run"
        ],
        "weaknesses": [
          "No phone numbers or SIP, so you bridge Twilio or another carrier yourself",
          "Fifteen status incidents since July, four of them an hour or longer on parts the agent uses",
          "Call audio is kept for model improvement unless `mip_opt_out` is set",
          "No SLA terms on self-serve plans",
          "Sessions end at 2 hours"
        ],
        "agentNotes": [
          "Set `mip_opt_out` in the Settings message to keep call audio out of training",
          "Use the function-call hold for anything irreversible, since replies can start before the user's turn is confirmed",
          "Back off exponentially on 429, a pay-as-you-go project gets 45 concurrent sockets",
          "Pin the LLM version, an unpinned Gemini route failed for 1.5 hours on 21 July 2026",
          "Mint browser tokens with `ttl_seconds`, not `ttl`, or they expire after 30 seconds"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 68.1
          }
        ],
        "editorialScores": {
          "ergonomics": 67,
          "maintenance": 85,
          "payments": 40,
          "reliability": 55,
          "schema": 90,
          "security": 71,
          "transparency": 70
        },
        "provenanceScore": 84
      },
      "connect": {
        "http": "curl https://agent.deepgram.com/v1/agent/settings/think/models \\\n  -H \"Authorization: Token $DEEPGRAM_API_KEY\"",
        "claudeCode": "claude mcp add deepgram-docs --transport http https://api.dx.deepgram.com/kapa/mcp",
        "config": {
          "mcpServers": {
            "deepgram": {
              "args": [
                "mcp"
              ],
              "command": "dg",
              "env": {
                "DEEPGRAM_API_KEY": "${DEEPGRAM_API_KEY}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/voice.agent",
        "tool": "https://letme.dev/deepgram-voice-agent"
      },
      "sameCompany": [
        "deepgram-stt",
        "deepgram-tts"
      ],
      "area": "voice",
      "unitPrices": [
        {
          "item": "Standard",
          "unit": "call-minute",
          "usd": 0.075,
          "note": "pay as you go, Deepgram STT, managed LLM and TTS included, carrier extra"
        },
        {
          "item": "Standard with own TTS",
          "unit": "call-minute",
          "usd": 0.065
        },
        {
          "item": "Own LLM and TTS",
          "unit": "call-minute",
          "usd": 0.05,
          "note": "STT and orchestration only"
        },
        {
          "item": "Advanced",
          "unit": "call-minute",
          "usd": 0.163,
          "note": "larger LLMs, all-in except carrier"
        },
        {
          "item": "Advanced with own TTS",
          "unit": "call-minute",
          "usd": 0.122
        }
      ],
      "provenance": {
        "legalEntity": "Deepgram, Inc.",
        "domain": "deepgram.com",
        "domainRegistered": "2016-01-28",
        "endpointOnVendorDomain": true,
        "terms": "https://deepgram.com/terms",
        "privacy": "https://deepgram.com/privacy",
        "statusPage": "https://status.deepgram.com",
        "changelog": "https://developers.deepgram.com/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "score": 84
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/deepgram-voice-agent.json",
      "live": {
        "slug": "deepgram-voice-agent",
        "probe": {
          "target": "https://agent.deepgram.com/v1/agent",
          "method": "get",
          "lastAt": "2026-10-15T11:29:51.422951828Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 560,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 417,
          "p95ms24h": 616,
          "samples24h": 254,
          "samples30d": 3797,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 123,
              "ok": 123
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.deepgram.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-15T11:31:56.103800315Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "deepgram/deepgram-python-sdk",
            "version": "v7.13.0",
            "released": "2026-10-12",
            "seenAt": "2026-10-14T23:48:23.790139466Z"
          },
          {
            "registry": "npm",
            "name": "@deepgram/sdk",
            "version": "5.15.0",
            "seenAt": "2026-10-14T23:48:21.557266895Z"
          },
          {
            "registry": "pypi",
            "name": "deepctl",
            "version": "0.3.3",
            "released": "2026-10-12",
            "seenAt": "2026-10-14T23:48:21.89600913Z"
          },
          {
            "registry": "pypi",
            "name": "deepgram-sdk",
            "version": "7.13.0",
            "released": "2026-10-12",
            "seenAt": "2026-10-14T23:48:21.777559835Z"
          }
        ],
        "githubStars": 469,
        "npmWeekly": 991641,
        "pypiWeekly": 784401,
        "securityTxt": {
          "url": "https://deepgram.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-14T15:47:40.024652001Z"
        },
        "llmsTxt": {
          "url": "https://developers.deepgram.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-14T14:13:57.730877927Z"
        },
        "domain": {
          "domain": "deepgram.com",
          "registered": "2016-01-28",
          "source": "https://rdap.verisign.com/com/v1/domain/deepgram.com",
          "checkedAt": "2026-10-11T13:23:13.674114431Z"
        },
        "updatedAt": "2026-10-15T11:31:56.103800315Z"
      }
    },
    "facts": [
      {
        "a": "SDK + MCP",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "sshah03 (individual developer, name not stated)",
        "b": "Deepgram",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://agent.deepgram.com/v1/agent",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP, Streamable HTTP, stdio, SSE (legacy)",
        "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",
        "b": "MIT (SDKs)",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-14",
        "b": "2026-09-30",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2026-08-06",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2021-10-26",
        "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": "yes",
        "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": "468 stars, 1.1M npm/wk, 805k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Deepgram Voice Agent API scores 68.1 (B) 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 Deepgram Voice Agent API?"
      },
      {
        "answer": "No hosted endpoint is listed for CueLight. Deepgram Voice Agent API has a hosted endpoint at https://agent.deepgram.com/v1/agent.",
        "question": "Can an agent call CueLight and Deepgram Voice Agent API without installing anything?"
      },
      {
        "answer": "CueLight is open source (Apache-2.0). No open-source release is listed for Deepgram Voice Agent API.",
        "question": "Are CueLight and Deepgram Voice Agent API open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 40"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
        "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, 55 against 29",
          "Schema \u0026 documentation, 90 against 50",
          "Agent ergonomics, 67 against 61",
          "Security \u0026 auth, 71 against 50",
          "Maintenance \u0026 community, 85 against 46",
          "Transparency \u0026 trust, 77 against 54"
        ],
        "also": [
          "A hosted endpoint, with nothing to install",
          "Runs on your own machine"
        ],
        "goodFor": "Developers who already run telephony (Twilio, Amazon Connect, Genesys, AudioCodes) and want a cheap managed pipeline with their choice of LLM.",
        "slug": "deepgram-voice-agent",
        "watchFor": "No phone numbers or SIP, so you bridge Twilio or another carrier yourself"
      }
    ],
    "job": {
      "capability": "voice.pipeline",
      "name": "Voice pipeline"
    },
    "others": [
      {
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      {
        "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-openai-realtime.json",
        "title": "Deepgram Voice Agent API vs OpenAI Realtime API",
        "url": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-openai-realtime"
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      {
        "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-retell-ai.json",
        "title": "Deepgram Voice Agent API vs Retell AI API + MCP",
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      {
        "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-synthflow.json",
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        "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-ultravox.json",
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        "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-vapi.json",
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        "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-vocily.json",
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      {
        "json": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-cuelight.json",
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      {
        "json": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.json",
        "title": "Bland AI API + MCP vs CueLight",
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      {
        "json": "https://www.anchorterminal.com/compare/bolna-vs-cuelight.json",
        "title": "Bolna API + MCP vs CueLight",
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      {
        "json": "https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents.json",
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        "by": 26,
        "cuelight": 29,
        "deepgram-voice-agent": 55,
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        "key": "reliability",
        "name": "Reliability",
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        "pending": true,
        "weight": 10
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        "by": 40,
        "cuelight": 50,
        "deepgram-voice-agent": 90,
        "edge": "deepgram-voice-agent",
        "key": "schema",
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        "weight": 13
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        "cuelight": 61,
        "deepgram-voice-agent": 67,
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        "key": "ergonomics",
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        "weight": 13
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        "by": 21,
        "cuelight": 50,
        "deepgram-voice-agent": 71,
        "edge": "deepgram-voice-agent",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 20,
        "cuelight": 60,
        "deepgram-voice-agent": 40,
        "edge": "cuelight",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
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        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 39,
        "cuelight": 46,
        "deepgram-voice-agent": 85,
        "edge": "deepgram-voice-agent",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
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        "by": 23,
        "cuelight": 54,
        "deepgram-voice-agent": 77,
        "edge": "deepgram-voice-agent",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
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    "summary": "Deepgram Voice Agent API scores 68.1 (B) 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.",
      "deepgram-voice-agent": "$0.075 a minute all in on Standard, $0.050 with your own LLM and TTS, $200 of credit with no card. No phone numbers or SIP, so you bridge Twilio or another carrier yourself."
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  "markdown": "Deepgram Voice Agent API scores 68.1 (B) 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- Deepgram Voice Agent API: grade B, 68.1/100, rank #241 of 1094. Markdown https://www.anchorterminal.com/tools/deepgram-voice-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-voice-agent.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 40\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: English only, and the author does not plan other languages soon\n\n### Deepgram Voice Agent API (B)\n\nGood for: Developers who already run telephony (Twilio, Amazon Connect, Genesys, AudioCodes) and want a cheap managed pipeline with their choice of LLM.\n\nAhead on:\n- Reliability, 55 against 29\n- Schema \u0026 documentation, 90 against 50\n- Agent ergonomics, 67 against 61\n- Security \u0026 auth, 71 against 50\n- Maintenance \u0026 community, 85 against 46\n- Transparency \u0026 trust, 77 against 54\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Runs on your own machine\n\nWatch for: No phone numbers or SIP, so you bridge Twilio or another carrier yourself\n\n\n## Score by category\n\n| Category | Weight | CueLight | Deepgram Voice Agent API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 29 | 55 | Deepgram Voice Agent API +26 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 50 | 90 | Deepgram Voice Agent API +40 |\n| Agent ergonomics | 13% (16.2 this run) | 61 | 67 | Deepgram Voice Agent API +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 71 | Deepgram Voice Agent API +21 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | CueLight +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 46 | 85 | Deepgram Voice Agent API +39 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 77 | Deepgram Voice Agent API +23 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **48.8 · D** | **68.1 · B** | |\n\n## Facts side by side\n\n| Fact | CueLight | Deepgram Voice Agent API |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | sshah03 (individual developer, name not stated) | Deepgram |\n| Hosted endpoint | no (local only) | `https://agent.deepgram.com/v1/agent` |\n| Transports |  | HTTP, Streamable HTTP, stdio, SSE (legacy) |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-14 | 2026-09-30 |\n| Terms last updated | no document linked | 2026-08-06 |\n| Privacy policy last updated | no document linked | 2021-10-26 |\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 |  | yes |\n| Terms or service can change without notice |  | yes |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 10 stars | 468 stars, 1.1M npm/wk, 805k PyPI/wk |\n| Agent reviews | none | 3/5 (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**Deepgram Voice Agent API.** $0.075 a minute all in on Standard, $0.050 with your own LLM and TTS, $200 of credit with no card. No phone numbers or SIP, so you bridge Twilio or another carrier yourself.\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### Deepgram Voice Agent API\n\n1. Set `mip_opt_out` in the Settings message to keep call audio out of training\n2. Use the function-call hold for anything irreversible, since replies can start before the user's turn is confirmed\n3. Back off exponentially on 429, a pay-as-you-go project gets 45 concurrent sockets\n4. Pin the LLM version, an unpinned Gemini route failed for 1.5 hours on 21 July 2026\n5. Mint browser tokens with `ttl_seconds`, not `ttl`, or they expire after 30 seconds\n\n## Questions\n\n### Which is better for AI agents, CueLight or Deepgram Voice Agent API?\n\nDeepgram Voice Agent API scores 68.1 (B) 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 Deepgram Voice Agent API without installing anything?\n\nNo hosted endpoint is listed for CueLight. Deepgram Voice Agent API has a hosted endpoint at https://agent.deepgram.com/v1/agent.\n\n### Are CueLight and Deepgram Voice Agent API open source?\n\nCueLight is open source (Apache-2.0). No open-source release is listed for Deepgram Voice Agent API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cuelight\", \"b\": \"deepgram-voice-agent\"}`. From a terminal: `anchor compare cuelight deepgram-voice-agent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cuelight.json and https://www.anchorterminal.com/api/v1/tools/deepgram-voice-agent.json\n\n## Other comparisons with CueLight or Deepgram Voice Agent API\n\n- [AssemblyAI Voice Agent API vs Deepgram Voice Agent API](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-deepgram-voice-agent.md)\n- [Bland AI API + MCP vs Deepgram Voice Agent API](https://www.anchorterminal.com/compare/bland-ai-vs-deepgram-voice-agent.md)\n- [Bolna API + MCP vs Deepgram Voice Agent API](https://www.anchorterminal.com/compare/bolna-vs-deepgram-voice-agent.md)\n- [Deepgram Voice Agent API vs ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-elevenlabs-agents.md)\n- [Deepgram Voice Agent API vs Gemini Live API](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-gemini-live.md)\n- [Deepgram Voice Agent API vs Hume EVI (Empathic Voice Interface)](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-hume-evi.md)\n- [Deepgram Voice Agent API vs OpenAI Realtime API](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-openai-realtime.md)\n- [Deepgram Voice Agent API vs Retell AI API + MCP](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-retell-ai.md)\n- [Deepgram Voice Agent API vs Synthflow API + MCP](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-synthflow.md)\n- [Deepgram Voice Agent API vs Ultravox Realtime API](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-ultravox.md)\n- [Deepgram Voice Agent API vs Vapi API + MCP](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-vapi.md)\n- [Deepgram Voice Agent API vs Vocily AI](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-vocily.md)\n- [Deepgram Voice Agent API vs Vogent API](https://www.anchorterminal.com/compare/deepgram-voice-agent-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 ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents.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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