{ "data": { "a": { "slug": "bland-ai", "name": "Bland AI API + MCP", "vendor": "Bland AI", "vendorUrl": "https://www.bland.ai", "kind": "http-api", "category": "voice-agents", "summary": "Phone-first voice-agent platform that runs its own speech recognition, language model, TTS and telephony, billed as one per-minute rate.", "url": "https://www.anchorterminal.com/tools/bland-ai", "markdownUrl": "https://www.anchorterminal.com/tools/bland-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/bland-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/bland-ai.json", "transports": [ "http", "streamable-http", "stdio" ], "remoteUrl": "https://api.bland.ai/v1", "packages": [ { "registry": "npm", "name": "bland-cli" } ], "auth": "api-key", "authNotes": "API key in the `Authorization` header for REST, and as `Bearer org_...` for the hosted MCP server at `https://api.bland.ai/v1/mcp`. The `bland mcp` command in the CLI runs a local stdio server. An agent can sign its owner up through a device-code flow or a headless flow that needs a texted 6-digit code from the owner.", "pricing": "freemium", "pricingNotes": "Start is free to join with 2 credits and an inbound number, no card, then $0.14 a connected minute and $0.05 a transfer minute, 10 concurrent calls and 100 calls a day. Build is $299 a month with $0.12 a minute, $0.04 transfer, 50 concurrent calls and 2,000 calls a day. Scale is $499 a month with $0.11 a minute, $0.03 transfer, 100 concurrent calls and 5,000 calls a day. Enterprise is custom. Every outbound attempt has a $0.015 minimum and failed calls are charged $0.015. SMS is $0.02 a message. The rate covers STT, LLM, TTS and telephony, and BYO Twilio customers pay no transfer fee. An Agent Phone Plan for personal AI agents is $29.99 a month ($14.99 the first month) (https://docs.bland.ai/platform/billing).", "priceSummary": "$299 / mo", "where": "both", "x402": { "level": "no", "evidence": "No x402 support in the docs, pricing page or MCP docs (checked 2026-09-30). Headless signup for the Agent Phone Plan answers HTTP 402 with a Machine Payments Protocol challenge settled through Stripe Link, which is a different protocol from x402 and only covers that plan (https://docs.bland.ai/platform/agent-headless-onboarding).", "endpoints": [] }, "toolCount": 42, "popularity": { "githubStars": null, "npmWeekly": 1179, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.bland.ai", "llmsTxt": "https://docs.bland.ai/llms.txt", "capabilities": [ "voice.agent", "voice.pipeline", "voice.tools", "voice.telephony" ], "tags": [ "hosted", "closed-source", "freemium", "no-card", "mcp", "llms-txt", "webhooks", "pipeline", "enterprise" ], "lastRelease": "2026-09-13", "graded": true, "anchor": { "graded": true, "score": 63.8, "grade": "B", "agentReady": false, "rank": 398, "ranked": true, "rankOf": 1094, "categoryRank": 5, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 53, "maintenance": 60, "payments": 65, "reliability": 65, "schema": 68, "security": 66, "transparency": 71 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "One per-minute rate covering STT, LLM, TTS and telephony, $0.14 on Start and $0.12 on Build. No OpenAPI document.", "bestFor": "Teams that want one predictable per-minute bill for outbound and inbound phone agents, and personal agents that need their own US number.", "strengths": [ "One per-minute rate covering STT, LLM, TTS and telephony, $0.14 on Start and $0.12 on Build", "Start plan with 2 credits and an inbound number, no card", "Hosted MCP server with 42 tools labelled read, write or destructive, with confirmation on destructive ones", "Headless agent signup that needs only a 6-digit texted code from the owner", "Subprocessor list with locations and a valid security.txt" ], "weaknesses": [ "No OpenAPI document", "Start caps at 10 concurrent calls and 100 calls a day", "Failed calls and outbound attempts cost $0.015 each", "Audit logs are enterprise-only and don't record API key use", "Privacy policy gives no retention period for recordings or transcripts" ], "agentNotes": [ "Call `wait_for_call` (it waits up to 45 seconds) instead of polling `get_call_log`", "Send destructive MCP tools a second time with the confirmation argument", "Space calls to the same number at least 10 seconds apart or expect a 429", "Budget $0.015 for every outbound attempt, including ones that never connect", "Run `validate_pathway` before saving a pathway graph" ], "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": 63.8 } ], "editorialScores": { "ergonomics": 53, "maintenance": 60, "payments": 65, "reliability": 65, "schema": 68, "security": 66, "transparency": 55 }, "provenanceScore": 87 }, "connect": { "http": "curl -X POST https://api.bland.ai/v1/calls -H \"Authorization: $BLAND_API_KEY\" \\\n -H \"content-type: application/json\" \\\n -d '{\"phone_number\":\"+15551234567\",\"task\":\"Confirm tomorrow 3pm appointment and ask if they need to reschedule.\"}'", "claudeCode": "claude mcp add --transport http bland https://api.bland.ai/v1/mcp --header \"Authorization: Bearer $BLAND_API_KEY\"", "config": { "mcpServers": { "bland": { "args": [ "bland-cli", "mcp" ], "command": "npx", "env": { "BLAND_API_KEY": "${BLAND_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/voice.agent", "tool": "https://letme.dev/bland-ai" }, "area": "voice", "unitPrices": [ { "item": "Start plan connected minute", "unit": "call-minute", "usd": 0.14, "note": "all in, STT, LLM, TTS and telephony" }, { "item": "Build plan connected minute", "unit": "call-minute", "usd": 0.12, "note": "all in, plus $299 a month" }, { "item": "Start plan transfer minute", "unit": "call-minute", "usd": 0.05, "note": "Bland numbers only" }, { "item": "Build plan", "unit": "month", "usd": 299 }, { "item": "Agent Phone Plan", "unit": "month", "usd": 29.99, "note": "$14.99 the first month" } ], "provenance": { "legalEntity": "Bland Inc.", "domain": "bland.ai", "domainRegistered": "2023-07-30", "endpointOnVendorDomain": true, "terms": "https://www.bland.ai/legal/terms", "privacy": "https://www.bland.ai/legal/privacy", "statusPage": "https://status.bland.ai", "changelog": "https://www.bland.ai/changelog", "securityTxt": "valid", "checked": "2026-10-01", "notes": [ "The terms (updated 2026-08-28) name Bland Inc. The privacy policy (updated 2026-06-23) names Intelliga Corp DBA Bland AI." ], "score": 87 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/bland-ai.json", "live": { "slug": "bland-ai", "probe": { "target": "https://api.bland.ai/v1", "method": "get", "lastAt": "2026-10-15T11:29:47.750830307Z", "lastOk": true, "lastStatus": 404, "lastMs": 268, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 278, "p95ms24h": 780, "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.bland.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-15T11:31:43.543356236Z" }, "versions": [ { "registry": "npm", "name": "bland-cli", "version": "0.10.1", "seenAt": "2026-10-14T23:41:55.304649775Z" } ], "npmWeekly": 1317, "securityTxt": { "url": "https://bland.ai/.well-known/security.txt", "state": "valid", "expires": "2027-04-05T00:00:00.000Z", "checkedAt": "2026-10-14T15:46:22.870136338Z" }, "llmsTxt": { "url": "https://docs.bland.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-14T14:13:31.195082959Z" }, "domain": { "domain": "bland.ai", "registered": "2023-07-30", "source": "https://rdap.identitydigital.services/rdap/domain/bland.ai", "checkedAt": "2026-10-11T13:23:25.855947345Z" }, "pages": [ { "url": "https://www.bland.ai/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-14T21:10:51.549079382Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "d73002ae0cca" }, { "url": "https://docs.bland.ai/platform/billing", "kind": "deprecations", "status": 304, "checkedAt": "2026-10-14T20:57:52.426009978Z", "changedAt": "2026-10-06T16:07:50.570943874Z", "fingerprint": "aa3457425060" }, { "url": "https://www.bland.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-01T13:16:48.844714237Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "31b0239cb0b9" }, { "url": "https://www.bland.ai/legal/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-14T21:10:53.962001071Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b2d6dc77b3fe" }, { "url": "https://www.bland.ai/legal/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-14T21:10:55.734932368Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "86441cb18833" } ], "updatedAt": "2026-10-15T11:31:43.543356236Z" } }, "answer": "Bland AI API + MCP scores 63.8 (B) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on agent ergonomics.", "b": { "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" }, "facts": [ { "a": "HTTP API", "b": "SDK + MCP", "name": "Kind" }, { "a": "Bland AI", "b": "sshah03 (individual developer, name not stated)", "name": "Vendor" }, { "a": "https://api.bland.ai/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, stdio", "b": "", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "none", "b": "Apache-2.0", "name": "Licence" }, { "a": "42", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-09-13", "b": "2026-10-14", "name": "Last release" }, { "a": "2026-08-28", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-06-23", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "1.2k npm/wk", "b": "10 stars", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Bland AI API + MCP scores 63.8 (B) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on agent ergonomics.", "question": "Which is better for AI agents, Bland AI API + MCP or CueLight?" }, { "answer": "Bland AI API + MCP has a hosted endpoint at https://api.bland.ai/v1. No hosted endpoint is listed for CueLight.", "question": "Can an agent call Bland AI API + MCP and CueLight without installing anything?" }, { "answer": "No open-source release is listed for Bland AI API + MCP. CueLight is open source (Apache-2.0).", "question": "Are Bland AI API + MCP and CueLight open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 65 against 29", "Schema \u0026 documentation, 68 against 50", "Security \u0026 auth, 66 against 50", "Payments \u0026 pricing, 65 against 60", "Maintenance \u0026 community, 60 against 46", "Transparency \u0026 trust, 71 against 54" ], "also": [ "A hosted endpoint, with nothing to install", "Runs on your own machine" ], "goodFor": "Teams that want one predictable per-minute bill for outbound and inbound phone agents, and personal agents that need their own US number.", "slug": "bland-ai", "watchFor": "No OpenAPI document" }, { "aheadOn": [ "Agent ergonomics, 61 against 53" ], "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" } ], "job": { "capability": "voice.pipeline", "name": "Voice pipeline" }, "others": [ { "json": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-bland-ai.json", "title": "AssemblyAI Voice Agent API vs Bland AI API + MCP", "url": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-bland-ai" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-bolna.json", "title": "Bland AI API + MCP vs Bolna API + MCP", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-bolna" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-deepgram-voice-agent.json", "title": "Bland AI API + MCP vs Deepgram Voice Agent API", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-deepgram-voice-agent" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-elevenlabs-agents.json", "title": "Bland AI API + MCP vs ElevenLabs Agents API + MCP", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-elevenlabs-agents" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-gemini-live.json", "title": "Bland AI API + MCP vs Gemini Live API", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-gemini-live" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-hume-evi.json", "title": "Bland AI API + MCP vs Hume EVI (Empathic Voice Interface)", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-hume-evi" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-openai-realtime.json", "title": "Bland AI API + MCP vs OpenAI Realtime API", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-openai-realtime" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-retell-ai.json", "title": "Bland AI API + MCP vs Retell AI API + MCP", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-retell-ai" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-synthflow.json", "title": "Bland AI API + MCP vs Synthflow API + MCP", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-synthflow" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-ultravox.json", "title": "Bland AI API + MCP vs Ultravox Realtime API", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-ultravox" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-vapi.json", "title": "Bland AI API + MCP vs Vapi API + MCP", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-vapi" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-vocily.json", "title": "Bland AI API + MCP vs Vocily AI", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-vocily" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-vogent.json", "title": "Bland AI API + MCP vs Vogent API", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-vogent" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-cuelight.json", "title": "AssemblyAI Voice Agent API vs CueLight", "url": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-cuelight" }, { "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", "url": "https://www.anchorterminal.com/compare/cuelight-vs-deepgram-voice-agent" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents.json", "title": "CueLight vs ElevenLabs Agents API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-elevenlabs-agents" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-hume-evi.json", "title": "CueLight vs Hume EVI (Empathic Voice Interface)", "url": "https://www.anchorterminal.com/compare/cuelight-vs-hume-evi" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-retell-ai.json", "title": "CueLight vs Retell AI API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-retell-ai" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-synthflow.json", "title": "CueLight vs Synthflow API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-synthflow" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-vapi.json", "title": "CueLight vs Vapi API + MCP", "url": "https://www.anchorterminal.com/compare/cuelight-vs-vapi" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-vocily.json", "title": "CueLight vs Vocily AI", "url": "https://www.anchorterminal.com/compare/cuelight-vs-vocily" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-vogent.json", "title": "CueLight vs Vogent API", "url": "https://www.anchorterminal.com/compare/cuelight-vs-vogent" } ], "scores": [ { "bland-ai": 65, "by": 36, "cuelight": 29, "edge": "bland-ai", "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "bland-ai": 68, "by": 18, "cuelight": 50, "edge": "bland-ai", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "bland-ai": 53, "by": 8, "cuelight": 61, "edge": "cuelight", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "bland-ai": 66, "by": 16, "cuelight": 50, "edge": "bland-ai", "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "bland-ai": 65, "by": 5, "cuelight": 60, "edge": "bland-ai", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "bland-ai": 60, "by": 14, "cuelight": 46, "edge": "bland-ai", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "bland-ai": 71, "by": 17, "cuelight": 54, "edge": "bland-ai", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Bland AI API + MCP scores 63.8 (B) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on agent ergonomics. Both do voice pipeline.", "verdicts": { "bland-ai": "One per-minute rate covering STT, LLM, TTS and telephony, $0.14 on Start and $0.12 on Build. No OpenAPI document.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight", "json": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.md", "slim": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.min.md" }, "markdown": "Bland AI API + MCP scores 63.8 (B) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on agent ergonomics. Both do voice pipeline.\n\n- Bland AI API + MCP: grade B, 63.8/100, rank #398 of 1094. Markdown https://www.anchorterminal.com/tools/bland-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/bland-ai.json\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- 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### Bland AI API + MCP (B)\n\nGood for: Teams that want one predictable per-minute bill for outbound and inbound phone agents, and personal agents that need their own US number.\n\nAhead on:\n- Reliability, 65 against 29\n- Schema \u0026 documentation, 68 against 50\n- Security \u0026 auth, 66 against 50\n- Payments \u0026 pricing, 65 against 60\n- Maintenance \u0026 community, 60 against 46\n- Transparency \u0026 trust, 71 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 OpenAPI document\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- Agent ergonomics, 61 against 53\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\n## Score by category\n\n| Category | Weight | Bland AI API + MCP | CueLight | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 29 | Bland AI API + MCP +36 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 68 | 50 | Bland AI API + MCP +18 |\n| Agent ergonomics | 13% (16.2 this run) | 53 | 61 | CueLight +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 66 | 50 | Bland AI API + MCP +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 65 | 60 | Bland AI API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 60 | 46 | Bland AI API + MCP +14 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 71 | 54 | Bland AI API + MCP +17 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.8 · B** | **48.8 · D** | |\n\n## Facts side by side\n\n| Fact | Bland AI API + MCP | CueLight |\n| --- | --- | --- |\n| Kind | HTTP API | SDK + MCP |\n| Vendor | Bland AI | sshah03 (individual developer, name not stated) |\n| Hosted endpoint | `https://api.bland.ai/v1` | no (local only) |\n| Transports | HTTP, Streamable HTTP, stdio | |\n| Auth | API key | None |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | none | Apache-2.0 |\n| Tools exposed | 42 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-09-13 | 2026-10-14 |\n| Terms last updated | 2026-08-28 | no document linked |\n| Privacy policy last updated | 2026-06-23 | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | yes | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 1.2k npm/wk | 10 stars |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Bland AI API + MCP.** One per-minute rate covering STT, LLM, TTS and telephony, $0.14 on Start and $0.12 on Build. No OpenAPI document.\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## Before you call either\n\n### Bland AI API + MCP\n\n1. Call `wait_for_call` (it waits up to 45 seconds) instead of polling `get_call_log`\n2. Send destructive MCP tools a second time with the confirmation argument\n3. Space calls to the same number at least 10 seconds apart or expect a 429\n4. Budget $0.015 for every outbound attempt, including ones that never connect\n5. Run `validate_pathway` before saving a pathway graph\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## Questions\n\n### Which is better for AI agents, Bland AI API + MCP or CueLight?\n\nBland AI API + MCP scores 63.8 (B) on agent readiness against CueLight's 48.8 (D), and leads in 6 of 7 scored categories. CueLight leads on agent ergonomics.\n\n### Can an agent call Bland AI API + MCP and CueLight without installing anything?\n\nBland AI API + MCP has a hosted endpoint at https://api.bland.ai/v1. No hosted endpoint is listed for CueLight.\n\n### Are Bland AI API + MCP and CueLight open source?\n\nNo open-source release is listed for Bland AI API + MCP. CueLight is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.json, and with the fewest tokens: https://www.anchorterminal.com/compare/bland-ai-vs-cuelight.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"bland-ai\", \"b\": \"cuelight\"}`. From a terminal: `anchor compare bland-ai cuelight`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/bland-ai.json and https://www.anchorterminal.com/api/v1/tools/cuelight.json\n\n## Other comparisons with Bland AI API + MCP or CueLight\n\n- [AssemblyAI Voice Agent API vs Bland AI API + MCP](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-bland-ai.md)\n- [Bland AI API + MCP vs Bolna API + MCP](https://www.anchorterminal.com/compare/bland-ai-vs-bolna.md)\n- [Bland AI API + MCP vs Deepgram Voice Agent API](https://www.anchorterminal.com/compare/bland-ai-vs-deepgram-voice-agent.md)\n- [Bland AI API + MCP vs ElevenLabs Agents API + MCP](https://www.anchorterminal.com/compare/bland-ai-vs-elevenlabs-agents.md)\n- [Bland AI API + MCP vs Gemini Live API](https://www.anchorterminal.com/compare/bland-ai-vs-gemini-live.md)\n- [Bland AI API + MCP vs Hume EVI (Empathic Voice Interface)](https://www.anchorterminal.com/compare/bland-ai-vs-hume-evi.md)\n- [Bland AI API + MCP vs OpenAI Realtime API](https://www.anchorterminal.com/compare/bland-ai-vs-openai-realtime.md)\n- [Bland AI API + MCP vs Retell AI API + MCP](https://www.anchorterminal.com/compare/bland-ai-vs-retell-ai.md)\n- [Bland AI API + MCP vs Synthflow API + MCP](https://www.anchorterminal.com/compare/bland-ai-vs-synthflow.md)\n- [Bland AI API + MCP vs Ultravox Realtime API](https://www.anchorterminal.com/compare/bland-ai-vs-ultravox.md)\n- [Bland AI API + MCP vs Vapi API + MCP](https://www.anchorterminal.com/compare/bland-ai-vs-vapi.md)\n- [Bland AI API + MCP vs Vocily AI](https://www.anchorterminal.com/compare/bland-ai-vs-vocily.md)\n- [Bland AI API + MCP vs Vogent API](https://www.anchorterminal.com/compare/bland-ai-vs-vogent.md)\n- [AssemblyAI Voice Agent API vs CueLight](https://www.anchorterminal.com/compare/assemblyai-voice-agent-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 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", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-15", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "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": "Bland AI API + MCP vs CueLight", "url": "" } ], "description": "Bland AI scores 63.8 (B) to CueLight's 48.8 (D) for voice pipeline. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Bland AI API + MCP B 63.8", "CueLight D 48.8", "scores" ], "h1": "Bland AI API + MCP vs CueLight", "image": "https://www.anchorterminal.com/assets/og/compare-bland-ai-vs-cuelight.png", "path": "/compare/bland-ai-vs-cuelight", "published": "2026-10-01", "section": "tools", "title": "Bland AI vs CueLight for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-cuelight" }, "tokens": { "markdown": 2350, "slim": 730 }, "version": 1 }