{ "data": { "a": { "slug": "giggy-stt", "name": "Giggy Speech to Text", "vendor": "Giggy", "vendorUrl": "https://giggy.ai", "kind": "model", "category": "speech-to-text", "summary": "Giggy's hosted speech-to-text API transcribes 16 kHz mono WAV recordings in free Batch, prepaid Fast and Streaming modes, and live audio over a WebSocket, with Python and Node SDKs and a remote MCP server.", "url": "https://www.anchorterminal.com/tools/giggy-stt", "markdownUrl": "https://www.anchorterminal.com/tools/giggy-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/giggy-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/giggy-stt.json", "dns": "giggy-stt.grade.anchorterminal.com", "repo": "https://github.com/giggy-ai/giggy-js", "license": "Proprietary hosted service. The terms page draws its text by script and was not read. The Python and Node SDKs, the Pipecat adapter and the MCP repository are ISC (Copyright 2026 Giggy), the n8n node MIT", "transports": [ "http", "sse", "websocket", "streamable-http" ], "remoteUrl": "https://api.giggy.ai/v1", "packages": [ { "registry": "pypi", "name": "giggy" }, { "registry": "npm", "name": "@giggy-ai/sdk" }, { "registry": "pypi", "name": "pipecat-giggy" } ], "auth": "api-key", "authNotes": "Self-serve API key prefixed `giggy_sk_`, shown once when created or rotated, rejected immediately after revocation, up to ten active per Personal space or Workspace and tied for good to the space that created it. REST sends it in `xi-api-key`; the WebSocket upgrade and the MCP server take `Authorization: Bearer`. No key scopes or expiry were found, and no query-string option is documented (https://giggy.ai/docs/api-reference).", "pricing": "freemium", "pricingNotes": "Batch transcription is free, queued, for recordings of 0.5 seconds to 25 minutes. Fast costs 4,000 credits ($0.04) and Streaming 8,000 credits ($0.08) per input audio hour on Pro, Studio or Scale credits, rounded up to one credit per request. Credits come in one-time packs from $3 and expire a year after purchase. Personal accounts get free credits topped up to 10,000 a month. Whether a card is needed was not stated on any page read (https://giggy.ai/pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the pricing page, the speech API docs, the API reference, llms.txt or llms-full.txt read on 2026-11-04. Credits are bought in prepaid packs; the payment method is not named on any page read.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-04" }, "docsUrl": "https://giggy.ai/docs/speech-api", "llmsTxt": "https://giggy.ai/llms.txt", "openapi": "https://api.giggy.ai/v1/openapi.json", "registryName": "io.github.GRQDigitalCapital/giggy-mcp", "capabilities": [ "speech.stt", "speech.batch", "speech.streaming", "speech.languages" ], "tags": [ "official", "hosted", "model", "closed-source", "streaming", "batch", "async-jobs", "free-tier", "python", "typescript", "openapi", "llms-txt", "mcp", "websocket", "new" ], "lastRelease": "2026-11-01", "graded": true, "anchor": { "graded": true, "score": 54.5, "grade": "C", "agentReady": false, "rank": 903, "ranked": true, "rankOf": 1486, "categoryRank": 17, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 69, "payments": 30, "reliability": 50, "schema": 68, "security": 57, "transparency": 30 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-04" }, "negative": 0, "verdict": "Fast transcription costs $0.04 an input audio hour and Batch is free up to 25 minutes, with published rate limits, Retry-After and a rule to check a generation before resubmitting. Input must be 16 kHz mono WAV, there are no timestamps or speaker labels, the status page covers text-to-speech only, and no company is named on pages we could read.", "bestFor": "Agents and voice pipelines that need plain transcripts of recorded or live speech at a few cents an hour, or free for clips under 25 minutes, and can convert audio to 16 kHz mono WAV first.", "strengths": [ "Fast is $0.04 and Streaming $0.08 per input audio hour on Pro credits, and Batch is free for recordings of 0.5 seconds to 25 minutes", "Per-credential rate limits are published with numbers, 429 carries `Retry-After`, and `RateLimit-*` headers report what is left", "The docs say to read a generation by UUID after a timeout or 504 instead of uploading again, and the SDKs never retry paid requests", "llms.txt, llms-full.txt and SDK READMEs state what the API does not do, including no diarisation, timestamps or OpenAI-compatible STT", "Official Python and Node SDKs at 0.2.1, a Pipecat adapter with live STT and a remote MCP server, all released within the last four weeks" ], "weaknesses": [ "Recorded input must be PCM16 mono 16 kHz WAV, so MP3, M4A, stereo or other sample rates need converting before upload", "No word timestamps, speaker labels, confidence scores or redaction, per the speech API docs", "The status page has one component, Text to speech, and no incident history, so speech-to-text availability isn't shown", "REST transcription has no idempotency key, and `client_request_id` is documented as not making a retried upload safe", "The terms, privacy policy, support and contact pages draw by script, and no company, address or security contact was found on any page read" ], "agentNotes": [ "Pass `mode=batch` explicitly for free transcription. Raw REST and MCP default to paid Fast when `mode` is omitted.", "Convert audio to PCM16 mono 16 kHz WAV first and send it as the raw body with `Content-Type: audio/wav`.", "Keep the `generation_uuid` from the 202 and poll `GET /v1/generations/{uuid}`. Never re-upload after a timeout or 504 before reading that generation.", "Fetch the transcript from the signed `generation.result.url` after completion, without the API key. It can disappear after retention cleanup.", "On the live WebSocket, replace earlier text with each cumulative `transcription` event and publish final text only after `input_complete`." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.5 } ], "editorialScores": { "ergonomics": 68, "maintenance": 69, "payments": 30, "reliability": 50, "schema": 68, "security": 57, "transparency": 23 }, "provenanceScore": 36, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "python -m pip install giggy==0.2.1 # or: npm install @giggy-ai/sdk", "http": "curl -X POST \"https://api.giggy.ai/v1/audio/transcriptions?mode=batch\u0026language=en\" \\\n -H \"xi-api-key: $GIGGY_API_KEY\" -H \"Content-Type: audio/wav\" \\\n --data-binary @recording.wav", "config": { "mcpServers": { "giggy-speech": { "headers": { "Authorization": "Bearer ${GIGGY_API_KEY}" }, "type": "http", "url": "https://giggy.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/giggy-stt" }, "area": "voice", "unitPrices": [ { "item": "Fast, Pro, Studio or Scale credits", "unit": "audio-minute", "usd": 0.000667, "note": "published as $0.04 per input audio hour, rounded up to one credit per request" }, { "item": "Streaming, Pro, Studio or Scale credits", "unit": "audio-minute", "usd": 0.001333, "note": "published as $0.08 per input audio hour" }, { "item": "Fast, Starter pack", "unit": "audio-minute", "usd": 0.000765, "note": "$3 for 261,300 credits, $0.0459 an hour" }, { "item": "Streaming, Starter pack", "unit": "audio-minute", "usd": 0.00153, "note": "$0.0918 an hour" }, { "item": "Batch", "unit": "audio-minute", "usd": 0, "note": "free, queued, 0.5 seconds to 25 minutes a recording" } ], "provenance": { "legalEntity": "", "domain": "giggy.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://giggy.ai/terms", "privacy": "https://giggy.ai/privacy", "statusPage": "https://giggy.ai/status", "changelog": "", "securityTxt": "none", "checked": "2026-11-04", "notes": [ "unchecked: the legal entity. /terms, /privacy, /acceptable-use, /contact, /docs/support and /docs/privacy-rights returned only their titles and metadata, because their text is drawn by script, and /terms.md answered a client error. The about, pricing, grants and docs pages that did render name only Giggy, with 'Made in California' on the about page. The repositories' licences say 'Copyright 2026 Giggy'.", "The status page tracks one component, Text to speech, with 14-day availability and completion figures refreshed every 30 minutes and no incident history. It has no speech-to-text component.", "No service changelog was found. The SDK and Pipecat repositories carry CHANGELOG.md files, dated in the Python SDK and the Pipecat adapter.", "https://giggy.ai/.well-known/security.txt answered a client error. None of the six public repositories has a SECURITY.md.", "robots.txt on giggy.ai allows / and disallows /api/, /ops/, /app/ and /blog/*.md for `*` and for the named AI agents, with no Content-Signal line. api.giggy.ai's robots.txt could not be read (the fetch needed an approval that wasn't given), so nothing on that host was fetched, the OpenAPI file included.", "unchecked: RDAP for giggy.ai (refused for want of an approval on 4 November 2026)." ], "score": 36 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/giggy-stt.json", "live": { "slug": "giggy-stt", "probe": { "target": "https://api.giggy.ai/v1", "method": "get", "lastAt": "2026-11-07T18:20:26.968324226Z", "lastOk": true, "lastStatus": 404, "lastMs": 361, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 251, "p95ms24h": 556, "samples24h": 239, "samples30d": 700, "days": [ { "date": "2026-11-04", "probes": 87, "ok": 87 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "vendorStatus": { "page": "https://giggy.ai/status", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:47:50.248239505Z" }, "versions": [ { "registry": "github", "name": "giggy-ai/giggy-js", "version": "v0.1.0", "released": "2026-10-07", "seenAt": "2026-11-06T23:28:11.885054385Z" }, { "registry": "mcp-registry", "name": "io.github.GRQDigitalCapital/giggy-mcp", "version": "1.0.2", "seenAt": "2026-11-07T18:16:28.95801333Z" }, { "registry": "npm", "name": "@giggy-ai/sdk", "version": "0.2.1", "seenAt": "2026-11-06T23:28:09.922333865Z" }, { "registry": "pypi", "name": "giggy", "version": "0.2.1", "released": "2026-11-01", "seenAt": "2026-11-06T23:28:09.736179919Z" }, { "registry": "pypi", "name": "pipecat-giggy", "version": "0.3.3", "released": "2026-11-01", "seenAt": "2026-11-06T23:28:10.15808183Z" } ], "githubStars": 0, "npmWeekly": 249, "pypiWeekly": 140, "securityTxt": { "url": "https://giggy.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:25.045857827Z" }, "llmsTxt": { "url": "https://giggy.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:35.7230198Z" }, "pages": [ { "url": "https://giggy.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:10:27.231106636Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "857ac594af2d" }, { "url": "https://giggy.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:10:29.525027715Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" }, { "url": "https://giggy.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:10:31.471008718Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" } ], "mcpTools": { "url": "https://giggy.ai/mcp", "checkedAt": "2026-11-07T01:44:48.687478609Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-11-07T01:44:48.687478609Z" }, "updatedAt": "2026-11-07T18:20:26.968324226Z" } }, "answer": "Giggy Speech to Text scores 54.5 (C) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 4 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation and transparency \u0026 trust.", "b": { "slug": "minimax-stt", "name": "MiniMax Speech-to-Text", "vendor": "MiniMax", "vendorUrl": "https://www.minimax.io", "kind": "model", "category": "speech-to-text", "summary": "MiniMax's speech-to-text API transcribes audio files of up to 500 seconds with its `asr-1.0` model in 20 languages, with optional streamed text output, speaker diarisation, segment timestamps and SRT or VTT subtitles.", "url": "https://www.anchorterminal.com/tools/minimax-stt", "markdownUrl": "https://www.anchorterminal.com/tools/minimax-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/minimax-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/minimax-stt.json", "dns": "minimax-stt.grade.anchorterminal.com", "transports": [ "http" ], "packages": [], "auth": "api-key", "authNotes": "Bearer API key created in the platform console under Account, API Keys. No scopes were found in the docs. Mainland China accounts use `https://api.minimaxi.com`.", "pricing": "usage", "pricingNotes": "$0.38 an hour of audio, pay as you go from a prepaid balance or through an M Plan subscription. Speech to text is for paid accounts only, with no free allowance.", "priceSummary": "Pay per use", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, OpenAPI file or pricing page (checked 2026-11-06). An empty balance returns 402 insufficient_balance_error with no payment requirements.", "endpoints": [] }, "toolCount": 0, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://platform.minimax.io/docs/guides/speech-to-text", "llmsTxt": "https://platform.minimax.io/docs/llms.txt", "openapi": "https://platform.minimax.io/docs/api-reference/speech/speech-to-text/api/openapi.json", "capabilities": [ "speech.stt", "speech.diarisation", "speech.languages" ], "tags": [ "official", "hosted", "usage-priced", "prepaid", "openapi", "llms-txt", "status-page" ], "graded": true, "anchor": { "graded": true, "score": 48.4, "grade": "D", "agentReady": false, "rank": 1114, "ranked": true, "rankOf": 1486, "categoryRank": 19, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 70, "maintenance": 6, "payments": 20, "reliability": 47, "schema": 82, "security": 33, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "MiniMax's ASR API has an OpenAPI file, typed error envelopes and a public price of $0.38 an hour, with diarisation and subtitle output. It takes files of up to 500 seconds only, allows 2 concurrent connections, has no free tier or status component, and no dated release.", "bestFor": "Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.", "strengths": [ "OpenAPI 3.1 file with eight documented responses, and an error table with HTTP status, type and trigger", "$0.38 an hour of audio, published without a login", "Speaker diarisation, segment timestamps and SRT or VTT output from one call", "Automatic language detection with Chinese-English code-switching across 20 languages" ], "weaknesses": [ "Files only, up to 500 seconds and 50 MB; live audio input isn't supported", "2 concurrent connections and paid accounts only, with no free allowance", "No status page component and no dated release of `asr-1.0`", "Terms let MiniMax use inputs to improve its services, and no retention period for audio was found" ], "agentNotes": [ "Split recordings into pieces under 500 seconds before uploading, since longer audio returns 400", "Convert to mono 16 kHz or a compressed format to stay under 50 MB", "Use `verbose_json` for speakers and timestamps, and `json` only when streaming", "Treat 402 `insufficient_balance_error` as final and ask the user to top up", "Use `https://api.minimaxi.com` for a mainland China account" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.4 } ], "editorialScores": { "ergonomics": 70, "maintenance": 6, "payments": 20, "reliability": 47, "schema": 82, "security": 33, "transparency": 43 }, "provenanceScore": 82, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl -X POST https://api.minimax.io/v1/speech_to_text \\\n -H \"Authorization: Bearer $MINIMAX_API_KEY\" \\\n -F model=asr-1.0 -F file=@meeting.mp3 -F response_format=verbose_json" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/minimax-stt" }, "sameCompany": [ "minimax-api", "minimax-video", "minimax-speech", "minimax-voice-cloning", "minimax-code", "minimax-m2-5", "minimax-m2-7", "minimax-m3-1-flash" ], "area": "voice", "unitPrices": [ { "item": "asr-1.0", "unit": "audio-minute", "usd": 0.00633, "note": "$0.38 an hour, paid accounts only" } ], "provenance": { "legalEntity": "Nanonoble Pte. Ltd.", "domain": "minimax.io", "domainRegistered": "2021-03-27", "endpointOnVendorDomain": true, "terms": "https://platform.minimax.io/protocol/terms-of-service", "privacy": "https://platform.minimax.io/protocol/privacy-policy", "statusPage": "https://status.minimax.io", "changelog": "https://platform.minimax.io/docs/release-notes/apis", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "Nanonoble Pte. Ltd., 152 Beach Road, #14-02 Gateway East, Singapore, is named in the terms (effective 30 March 2026) and the privacy policy (updated 30 March 2026), read on 4 November 2026 from the document text the pages carry for the browser, as on the minimax-api listing. The 8 October reader recorded both pages as unreadable.", "RDAP for minimax.io gives a registration date of 2021-03-27 and a transfer on 2025-01-31, as recorded on 8 October.", "platform.minimax.io/.well-known/security.txt returns 404 (per the 8 October check), and www.minimax.io/.well-known/security.txt redirects to the home page.", "The API release notes page has no entry after 28 October 2025 on 4 November. Model releases are dated on a separate page, whose newest speech model is Speech 2.8 (23 January 2026).", "status.minimax.io/robots.txt disallows /api/, so incidents were read from the /history pages only.", "firstReleased and lastRelease are left empty, since no dated release of `asr-1.0` was found." ], "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/minimax-stt.json", "live": { "slug": "minimax-stt", "vendorStatus": { "page": "https://status.minimax.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T18:21:22.959559855Z" }, "securityTxt": { "url": "https://minimax.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:57.120551174Z" }, "llmsTxt": { "url": "https://platform.minimax.io/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:06.549207563Z" }, "updatedAt": "2026-11-07T18:21:22.959559855Z" } }, "edges": [ { "by": 63, "category": "maintenance", "leads": "giggy-stt", "name": "Maintenance \u0026 community", "reasons": { "a": "Read as a model, on the lines deepgram-stt and cartesia-ink-stt use (recency 30, dated releases 10, deprecation notice 10, support 15, issues 10, SDKs 15, health 10). The Python and Node SDKs released 0.2.1 and the Pipecat adapter 0.3.3 on 1 November 2026, and the examples and MCP repositories changed on 3 November (30). Since 7 October the Node SDK has four tagged releases, the Python SDK six and the Pipecat adapter six, the STT ones from 12 October (10). No deprecation policy or dated notice. The legacy `https://giggy.ai/v1` origin and older SDK transports are kept 'for existing integrations' with no end date (2 of 10). No service changelog; the support and contact pages drew by script, and GitHub issues is the support URL in the plugin manifest (5 of 15). GitHub issues and reply times could not be read, since the GitHub API was not available to this session (0 of 10). Official SDKs current, `giggy` and `@giggy-ai/sdk` at 0.2.1 on PyPI and npm (15). CI workflows in five repositories and publish workflows, the n8n node through npm OIDC with provenance, and two runtime dependencies in each SDK; run results not seen (7 of 10). 30+10+2+5+0+15+7 = 69.", "b": "Read as a model. No dated release or change of `asr-1.0` was found on the model or API release notes or the status page (0). No dated ASR entries in the last 90 days (0). Support by email and Discord, not tested (6 of 15). No official SDK, and the MCP servers have no transcription tool (0 of 15). No package to judge (0 of 10). Total 6." }, "scores": { "a": 69, "b": 6 } }, { "by": 33, "category": "transparency", "leads": "minimax-stt", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed hosted service. The terms exist at /terms but draw by script and could not be read, so their clarity is unknown; the SDK, Pipecat and MCP repositories are ISC and the n8n node MIT (5 of 30). What could be read agrees with itself, no training on user data, an optional 12-hour retention flag, a seven-day window for Batch audio, and the EEA compute flag. The privacy policy, any DPA and a retention period for transcripts were not found or not readable (12 of 30). No deprecation policy or dated notices, only a statement that the legacy origin remains supported (3 of 20). No subprocessors or data locations are named; the EEA-adequate compute option implies processing outside the EEA by default without saying where (3 of 20). 5+12+3+3 = 23.", "b": "Closed API with clear terms under Singapore law naming Nanonoble Pte. Ltd., as on the other MiniMax listings (15 of 30). The terms and privacy policy agree that inputs may be used to improve services and that data sits in a United States data centre, with no retention period for audio (8 of 30). No deprecation notice or policy touches the ASR API (10 of 20, for the dated notices elsewhere on the API release notes). Data location stated as the United States and an EU representative named, with third parties only by category (10 of 20). Total 43." }, "scores": { "a": 30, "b": 63 } }, { "by": 24, "category": "security", "leads": "giggy-stt", "name": "Security \u0026 auth", "reasons": { "a": "Model reading of the checklist, with training and retention in place of the least-privilege and injection lines, as for deepgram-stt and cartesia-ink-stt. Keys prefixed `giggy_sk_` are shown once on creation or rotation, rejected immediately after revocation, limited to ten per space and tied to the space that made them, with REST budgets that Workspace members can set. No scopes or expiry were found. The key travels in a header only, with no query-string option documented (22 of 30). The workspace privacy guide states 'Giggy does not use user data to train models'. The privacy policy and terms draw by script and could not be read to confirm it (18 of 20). Requests can opt into 12-hour content retention and EEA-adequate compute, and a guide gives Batch audio a seven-day window, but no retention period for transcripts was found and results can vanish after an unstated 'retention cleanup' (9 of 15). Generation history per space and a request ID on errors; no audit log of key or admin actions was found (8 of 15). /.well-known/security.txt answered a client error, none of the six repositories has a SECURITY.md, and no disclosure policy, bug bounty or certification was found on the pages that rendered; the support page that may name a reporting route drew by script (0 of 20). 22+18+9+8+0 = 57.", "b": "Model reading of the checklist, with training and retention in place of the least-privilege and injection lines. Plain API keys from the console with no scopes found, and the docs say publicly leaked keys may be disabled, as on minimax-voice-cloning (20 of 30). The terms (effective 30 March 2026), as read for minimax-voice-cloning on 4 November, let MiniMax use input and generated content to operate, maintain, develop and improve its services, with no opt-out found, and the privacy policy rules out only training to profile or target consumers (5 of 20). No retention period for uploaded audio or transcripts was found (3 of 15). Each response carries a trace ID, with no audit log found (5 of 15). No security.txt, disclosure policy, bug bounty or certification found, as on the other MiniMax listings (0 of 20). Total 33." }, "scores": { "a": 57, "b": 33 } }, { "by": 14, "category": "schema", "leads": "minimax-stt", "name": "Schema \u0026 documentation", "reasons": { "a": "Model reading, with the API reference. The docs and llms.txt link an OpenAPI 3.1 file at https://api.giggy.ai/v1/openapi.json, but api.giggy.ai's robots.txt could not be read, so the file wasn't fetched. We credit only what the reference pages show of it, typed `mode` values, the privacy booleans and a typed error body, and there is no AsyncAPI file for the live socket (12 of 25). llms.txt and llms-full.txt (10). The docs say when to use each mode and transport, that MCP is not a live transport, that an OpenAI base-URL swap does not work for STT, and which options have no equivalent, more than most listings say about when not to use something (17 of 20). `mode` is an enum of three values and the input format is fixed, but `language` is a free code or name with no published list, and the MCP input schemas were read only from the repository's docs, not from the server (11 of 15). Examples in the SDK READMEs, the examples repository and a Postman collection, and an error table of ten statuses with `type`, `code`, `message`, `status`, `request_id` and `param` fields, though only one code value is named (11 of 15). Paths are under `/v1` and the SDK and Pipecat repositories keep CHANGELOG.md files, dated in two of them, but there is no service changelog (7 of 15). 12+10+17+11+11+7 = 68.", "b": "OpenAPI 3.1 for `/v1/speech_to_text`, with eight documented responses (25). llms.txt and a Markdown copy of every page (10). The guide says when to stream, when to use `verbose_json`, and that subtitles and diarisation can't be combined with streaming (15 of 20). Typed multipart fields with an enum for `response_format`, and file limits stated in prose (12 of 15). Python examples and an error table giving HTTP status, `error.type` and trigger for 400, 401, 402, 413, 422, 429 and 500 (15). Versioned `/v1` path, but neither release notes page mentions the ASR API, and the API notes stop at 28 October 2025 (5 of 15). Total 82." }, "scores": { "a": 68, "b": 82 } }, { "by": 10, "category": "payments", "leads": "giggy-stt", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Per-hour prices for Batch, Fast and Streaming and every credit pack published without a login (20). Free Batch transcription and Personal free credits topped up to 10,000 a month, but no page read says whether a card is needed, so half, as other listings read an unstated card requirement (10 of 20). A person signs up in a browser and creates the key there; no programmatic key route was found (0). 0+20+10+0 = 30.", "b": "No x402, MPP or L402 (0). $0.38 an hour published without a login (20). Speech to text is for paid accounts only (0). A person signs up in a browser and funds a balance (0). Total 20." }, "scores": { "a": 30, "b": 20 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Giggy", "b": "MiniMax", "name": "Vendor" }, { "a": "https://api.giggy.ai/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, SSE (legacy), websocket, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted service. The terms page draws its text by script and was not read. The Python and Node SDKs, the Pipecat adapter and the MCP repository are ISC (Copyright 2026 Giggy), the n8n node MIT", "b": "none", "name": "Licence" }, { "a": "none", "b": "0", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.GRQDigitalCapital/giggy-mcp", "b": "not listed", "name": "MCP registry" }, { "a": "2026-11-01", "b": "none", "name": "Last release" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "not read yet", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "couldn't be read", "name": "Arbitration or class-action waiver" } ], "faq": [ { "answer": "Giggy Speech to Text scores 54.5 (C) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 4 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation and transparency \u0026 trust.", "question": "Which is better for AI agents, Giggy Speech to Text or MiniMax Speech-to-Text?" }, { "answer": "Both need an API key.", "question": "Do Giggy Speech to Text and MiniMax Speech-to-Text need an API key?" }, { "answer": "Giggy Speech to Text has a hosted endpoint at https://api.giggy.ai/v1. No hosted endpoint is listed for MiniMax Speech-to-Text.", "question": "Can an agent call Giggy Speech to Text and MiniMax Speech-to-Text without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 57 against 33", "Payments \u0026 pricing, 30 against 20", "Maintenance \u0026 community, 69 against 6" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Agents and voice pipelines that need plain transcripts of recorded or live speech at a few cents an hour, or free for clips under 25 minutes, and can convert audio to 16 kHz mono WAV first.", "slug": "giggy-stt", "watchFor": "Recorded input must be PCM16 mono 16 kHz WAV, so MP3, M4A, stereo or other sample rates need converting before upload" }, { "aheadOn": [ "Schema \u0026 documentation, 82 against 68", "Transparency \u0026 trust, 63 against 30" ], "also": null, "goodFor": "Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.", "slug": "minimax-stt", "watchFor": "Files only, up to 500 seconds and 50 MB; live audio input isn't supported" } ], "history": null, "job": { "capability": "speech.stt", "name": "Speech-to-text" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-giggy-stt.json", "title": "Amazon Transcribe vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-minimax-stt.json", "title": "Amazon Transcribe vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-giggy-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-minimax-stt.json", 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Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-minimax-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.json", "title": "ElevenLabs Scribe Speech to Text API vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-minimax-stt.json", "title": "ElevenLabs Scribe Speech to Text API vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-gladia-stt.json", "title": "Giggy Speech to Text vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-gladia-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-google-speech-to-text.json", "title": "Giggy Speech to Text vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text.json", "title": "Giggy Speech to Text vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-ibm-watson-stt.json", "title": "Giggy Speech to Text vs IBM Watson Speech to Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-ibm-watson-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-inworld-stt.json", "title": "Giggy Speech to Text vs Inworld STT", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-inworld-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-mistral-voxtral-transcribe.json", "title": "Giggy Speech to Text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-openai-speech-to-text.json", "title": "Giggy Speech to Text vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-rev-ai-stt.json", "title": "Giggy Speech to Text vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-smallest-pulse-stt.json", "title": "Giggy Speech to Text vs Smallest.ai Pulse STT", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-smallest-pulse-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-soniox-stt.json", "title": "Giggy Speech to Text vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-speechmatics-stt.json", "title": "Giggy Speech to Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-minimax-stt.json", "title": "Gladia Speech-to-Text API + MCP vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-minimax-stt.json", "title": "Google Cloud Speech-to-Text vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.json", "title": "Groq Speech-to-Text vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/ibm-watson-stt-vs-minimax-stt.json", "title": "IBM Watson Speech to Text vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/ibm-watson-stt-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/inworld-stt-vs-minimax-stt.json", "title": "Inworld STT vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/inworld-stt-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-mistral-voxtral-transcribe.json", "title": "MiniMax Speech-to-Text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-openai-speech-to-text.json", "title": "MiniMax Speech-to-Text vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-rev-ai-stt.json", "title": "MiniMax Speech-to-Text vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-smallest-pulse-stt.json", "title": "MiniMax Speech-to-Text vs Smallest.ai Pulse STT", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-smallest-pulse-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-soniox-stt.json", "title": "MiniMax Speech-to-Text vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-speechmatics-stt.json", "title": "MiniMax Speech-to-Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-speechmatics-stt" } ], "panel": null, "scores": [ { "by": 3, "edge": "giggy-stt", "giggy-stt": 50, "key": "reliability", "minimax-stt": 47, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 14, "edge": "minimax-stt", "giggy-stt": 68, "key": "schema", "minimax-stt": 82, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 2, "edge": "minimax-stt", "giggy-stt": 68, "key": "ergonomics", "minimax-stt": 70, "name": "Agent ergonomics", "weight": 13 }, { "by": 24, "edge": "giggy-stt", "giggy-stt": 57, "key": "security", "minimax-stt": 33, "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "edge": "giggy-stt", "giggy-stt": 30, "key": "payments", "minimax-stt": 20, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 63, "edge": "giggy-stt", "giggy-stt": 69, "key": "maintenance", "minimax-stt": 6, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 33, "edge": "minimax-stt", "giggy-stt": 30, "key": "transparency", "minimax-stt": 63, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Giggy Speech to Text scores 54.5 (C) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 4 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation and transparency \u0026 trust. Both do speech-to-text.", "tasks": [ { "a": "$0.04 to $0.09", "b": "$0.38", "cheaper": "giggy-stt", "task": "Transcribe a one-hour meeting", "what": "60 minutes of recorded audio" } ], "tutorials": [], "verdicts": { "giggy-stt": "Fast transcription costs $0.04 an input audio hour and Batch is free up to 25 minutes, with published rate limits, Retry-After and a rule to check a generation before resubmitting. Input must be 16 kHz mono WAV, there are no timestamps or speaker labels, the status page covers text-to-speech only, and no company is named on pages we could read.", "minimax-stt": "MiniMax's ASR API has an OpenAPI file, typed error envelopes and a public price of $0.38 an hour, with diarisation and subtitle output. It takes files of up to 500 seconds only, allows 2 concurrent connections, has no free tier or status component, and no dated release." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/giggy-stt-vs-minimax-stt", "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-minimax-stt.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/giggy-stt-vs-minimax-stt.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/giggy-stt-vs-minimax-stt.min.md" }, "markdown": "Giggy Speech to Text scores 54.5 (C) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 4 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation and transparency \u0026 trust. Both do speech-to-text.\n\n- Giggy Speech to Text: grade C, 54.5/100, rank #903 of 1486. Markdown https://www.anchorterminal.com/tools/giggy-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/giggy-stt.json\n- MiniMax Speech-to-Text: grade D, 48.4/100, rank #1114 of 1486. Markdown https://www.anchorterminal.com/tools/minimax-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/minimax-stt.json\n- Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md\n- All 320 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md\n\n## Which one, for what\n\n### Giggy Speech to Text (C)\n\nGood for: Agents and voice pipelines that need plain transcripts of recorded or live speech at a few cents an hour, or free for clips under 25 minutes, and can convert audio to 16 kHz mono WAV first.\n\nAhead on:\n- Security \u0026 auth, 57 against 33\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 69 against 6\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Recorded input must be PCM16 mono 16 kHz WAV, so MP3, M4A, stereo or other sample rates need converting before upload\n\n### MiniMax Speech-to-Text (D)\n\nGood for: Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.\n\nAhead on:\n- Schema \u0026 documentation, 82 against 68\n- Transparency \u0026 trust, 63 against 30\n\nWatch for: Files only, up to 500 seconds and 50 MB; live audio input isn't supported\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Giggy Speech to Text +63\n\n- Giggy Speech to Text (69): Read as a model, on the lines deepgram-stt and cartesia-ink-stt use (recency 30, dated releases 10, deprecation notice 10, support 15, issues 10, SDKs 15, health 10). The Python and Node SDKs released 0.2.1 and the Pipecat adapter 0.3.3 on 1 November 2026, and the examples and MCP repositories changed on 3 November (30). Since 7 October the Node SDK has four tagged releases, the Python SDK six and the Pipecat adapter six, the STT ones from 12 October (10). No deprecation policy or dated notice. The legacy `https://giggy.ai/v1` origin and older SDK transports are kept 'for existing integrations' with no end date (2 of 10). No service changelog; the support and contact pages drew by script, and GitHub issues is the support URL in the plugin manifest (5 of 15). GitHub issues and reply times could not be read, since the GitHub API was not available to this session (0 of 10). Official SDKs current, `giggy` and `@giggy-ai/sdk` at 0.2.1 on PyPI and npm (15). CI workflows in five repositories and publish workflows, the n8n node through npm OIDC with provenance, and two runtime dependencies in each SDK; run results not seen (7 of 10). 30+10+2+5+0+15+7 = 69.\n- MiniMax Speech-to-Text (6): Read as a model. No dated release or change of `asr-1.0` was found on the model or API release notes or the status page (0). No dated ASR entries in the last 90 days (0). Support by email and Discord, not tested (6 of 15). No official SDK, and the MCP servers have no transcription tool (0 of 15). No package to judge (0 of 10). Total 6.\n\n### Transparency \u0026 trust: MiniMax Speech-to-Text +33\n\n- Giggy Speech to Text (30): Closed hosted service. The terms exist at /terms but draw by script and could not be read, so their clarity is unknown; the SDK, Pipecat and MCP repositories are ISC and the n8n node MIT (5 of 30). What could be read agrees with itself, no training on user data, an optional 12-hour retention flag, a seven-day window for Batch audio, and the EEA compute flag. The privacy policy, any DPA and a retention period for transcripts were not found or not readable (12 of 30). No deprecation policy or dated notices, only a statement that the legacy origin remains supported (3 of 20). No subprocessors or data locations are named; the EEA-adequate compute option implies processing outside the EEA by default without saying where (3 of 20). 5+12+3+3 = 23.\n- MiniMax Speech-to-Text (63): Closed API with clear terms under Singapore law naming Nanonoble Pte. Ltd., as on the other MiniMax listings (15 of 30). The terms and privacy policy agree that inputs may be used to improve services and that data sits in a United States data centre, with no retention period for audio (8 of 30). No deprecation notice or policy touches the ASR API (10 of 20, for the dated notices elsewhere on the API release notes). Data location stated as the United States and an EU representative named, with third parties only by category (10 of 20). Total 43.\n\n### Security \u0026 auth: Giggy Speech to Text +24\n\n- Giggy Speech to Text (57): Model reading of the checklist, with training and retention in place of the least-privilege and injection lines, as for deepgram-stt and cartesia-ink-stt. Keys prefixed `giggy_sk_` are shown once on creation or rotation, rejected immediately after revocation, limited to ten per space and tied to the space that made them, with REST budgets that Workspace members can set. No scopes or expiry were found. The key travels in a header only, with no query-string option documented (22 of 30). The workspace privacy guide states 'Giggy does not use user data to train models'. The privacy policy and terms draw by script and could not be read to confirm it (18 of 20). Requests can opt into 12-hour content retention and EEA-adequate compute, and a guide gives Batch audio a seven-day window, but no retention period for transcripts was found and results can vanish after an unstated 'retention cleanup' (9 of 15). Generation history per space and a request ID on errors; no audit log of key or admin actions was found (8 of 15). /.well-known/security.txt answered a client error, none of the six repositories has a SECURITY.md, and no disclosure policy, bug bounty or certification was found on the pages that rendered; the support page that may name a reporting route drew by script (0 of 20). 22+18+9+8+0 = 57.\n- MiniMax Speech-to-Text (33): Model reading of the checklist, with training and retention in place of the least-privilege and injection lines. Plain API keys from the console with no scopes found, and the docs say publicly leaked keys may be disabled, as on minimax-voice-cloning (20 of 30). The terms (effective 30 March 2026), as read for minimax-voice-cloning on 4 November, let MiniMax use input and generated content to operate, maintain, develop and improve its services, with no opt-out found, and the privacy policy rules out only training to profile or target consumers (5 of 20). No retention period for uploaded audio or transcripts was found (3 of 15). Each response carries a trace ID, with no audit log found (5 of 15). No security.txt, disclosure policy, bug bounty or certification found, as on the other MiniMax listings (0 of 20). Total 33.\n\n### Schema \u0026 documentation: MiniMax Speech-to-Text +14\n\n- Giggy Speech to Text (68): Model reading, with the API reference. The docs and llms.txt link an OpenAPI 3.1 file at https://api.giggy.ai/v1/openapi.json, but api.giggy.ai's robots.txt could not be read, so the file wasn't fetched. We credit only what the reference pages show of it, typed `mode` values, the privacy booleans and a typed error body, and there is no AsyncAPI file for the live socket (12 of 25). llms.txt and llms-full.txt (10). The docs say when to use each mode and transport, that MCP is not a live transport, that an OpenAI base-URL swap does not work for STT, and which options have no equivalent, more than most listings say about when not to use something (17 of 20). `mode` is an enum of three values and the input format is fixed, but `language` is a free code or name with no published list, and the MCP input schemas were read only from the repository's docs, not from the server (11 of 15). Examples in the SDK READMEs, the examples repository and a Postman collection, and an error table of ten statuses with `type`, `code`, `message`, `status`, `request_id` and `param` fields, though only one code value is named (11 of 15). Paths are under `/v1` and the SDK and Pipecat repositories keep CHANGELOG.md files, dated in two of them, but there is no service changelog (7 of 15). 12+10+17+11+11+7 = 68.\n- MiniMax Speech-to-Text (82): OpenAPI 3.1 for `/v1/speech_to_text`, with eight documented responses (25). llms.txt and a Markdown copy of every page (10). The guide says when to stream, when to use `verbose_json`, and that subtitles and diarisation can't be combined with streaming (15 of 20). Typed multipart fields with an enum for `response_format`, and file limits stated in prose (12 of 15). Python examples and an error table giving HTTP status, `error.type` and trigger for 400, 401, 402, 413, 422, 429 and 500 (15). Versioned `/v1` path, but neither release notes page mentions the ASR API, and the API notes stop at 28 October 2025 (5 of 15). Total 82.\n\n### Payments \u0026 pricing: Giggy Speech to Text +10\n\n- Giggy Speech to Text (30): No x402, MPP or L402 (0). Per-hour prices for Batch, Fast and Streaming and every credit pack published without a login (20). Free Batch transcription and Personal free credits topped up to 10,000 a month, but no page read says whether a card is needed, so half, as other listings read an unstated card requirement (10 of 20). A person signs up in a browser and creates the key there; no programmatic key route was found (0). 0+20+10+0 = 30.\n- MiniMax Speech-to-Text (20): No x402, MPP or L402 (0). $0.38 an hour published without a login (20). Speech to text is for paid accounts only (0). A person signs up in a browser and funds a balance (0). Total 20.\n\n## Score by category\n\n| Category | Weight | Giggy Speech to Text | MiniMax Speech-to-Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 47 | Giggy Speech to Text +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 68 | 82 | MiniMax Speech-to-Text +14 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 70 | MiniMax Speech-to-Text +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 33 | Giggy Speech to Text +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Giggy Speech to Text +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 69 | 6 | Giggy Speech to Text +63 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 30 | 63 | MiniMax Speech-to-Text +33 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **54.5 · C** | **48.4 · D** | |\n\n## Facts side by side\n\n| Fact | Giggy Speech to Text | MiniMax Speech-to-Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Giggy | MiniMax |\n| Hosted endpoint | `https://api.giggy.ai/v1` | no (local only) |\n| Transports | HTTP, SSE (legacy), websocket, Streamable HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary hosted service. The terms page draws its text by script and was not read. The Python and Node SDKs, the Pipecat adapter and the MCP repository are ISC (Copyright 2026 Giggy), the n8n node MIT | none |\n| Tools exposed | none | 0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.GRQDigitalCapital/giggy-mcp` | not listed |\n| Last release | 2026-11-01 | none |\n| Terms last updated | not read yet | couldn't be read |\n| Privacy policy last updated | not read yet | couldn't be read |\n| Customer content may train models | not read yet | couldn't be read |\n| Terms restrict automated access | not read yet | couldn't be read |\n| Terms restrict benchmarking | not read yet | couldn't be read |\n| Terms or service can change without notice | not read yet | couldn't be read |\n| Arbitration or class-action waiver | not read yet | couldn't be read |\n\n## What the same task costs\n\n| Task | Giggy Speech to Text | MiniMax Speech-to-Text |\n| --- | --- | --- |\n| Transcribe a one-hour meeting | $0.04 to $0.09 | $0.38 |\n\n## Verdicts\n\n**Giggy Speech to Text.** Fast transcription costs $0.04 an input audio hour and Batch is free up to 25 minutes, with published rate limits, Retry-After and a rule to check a generation before resubmitting. Input must be 16 kHz mono WAV, there are no timestamps or speaker labels, the status page covers text-to-speech only, and no company is named on pages we could read.\n\n**MiniMax Speech-to-Text.** MiniMax's ASR API has an OpenAPI file, typed error envelopes and a public price of $0.38 an hour, with diarisation and subtitle output. It takes files of up to 500 seconds only, allows 2 concurrent connections, has no free tier or status component, and no dated release.\n\n## Before you call either\n\n### Giggy Speech to Text\n\n1. Pass `mode=batch` explicitly for free transcription. Raw REST and MCP default to paid Fast when `mode` is omitted.\n2. Convert audio to PCM16 mono 16 kHz WAV first and send it as the raw body with `Content-Type: audio/wav`.\n3. Keep the `generation_uuid` from the 202 and poll `GET /v1/generations/{uuid}`. Never re-upload after a timeout or 504 before reading that generation.\n4. Fetch the transcript from the signed `generation.result.url` after completion, without the API key. It can disappear after retention cleanup.\n5. On the live WebSocket, replace earlier text with each cumulative `transcription` event and publish final text only after `input_complete`.\n\n### MiniMax Speech-to-Text\n\n1. Split recordings into pieces under 500 seconds before uploading, since longer audio returns 400\n2. Convert to mono 16 kHz or a compressed format to stay under 50 MB\n3. Use `verbose_json` for speakers and timestamps, and `json` only when streaming\n4. Treat 402 `insufficient_balance_error` as final and ask the user to top up\n5. Use `https://api.minimaxi.com` for a mainland China account\n\n## Questions\n\n### Which is better for AI agents, Giggy Speech to Text or MiniMax Speech-to-Text?\n\nGiggy Speech to Text scores 54.5 (C) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 4 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation and transparency \u0026 trust.\n\n### Do Giggy Speech to Text and MiniMax Speech-to-Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Giggy Speech to Text and MiniMax Speech-to-Text without installing anything?\n\nGiggy Speech to Text has a hosted endpoint at https://api.giggy.ai/v1. No hosted endpoint is listed for MiniMax Speech-to-Text.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/giggy-stt-vs-minimax-stt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/giggy-stt-vs-minimax-stt.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"giggy-stt\", \"b\": \"minimax-stt\"}`. From a terminal: `anchor compare giggy-stt minimax-stt`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/giggy-stt.json and https://www.anchorterminal.com/api/v1/tools/minimax-stt.json\n\n## Other comparisons with Giggy Speech to Text or MiniMax Speech-to-Text\n\n- [Amazon Transcribe vs Giggy Speech to Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-giggy-stt.md)\n- [Amazon Transcribe vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-minimax-stt.md)\n- [AssemblyAI Speech-to-Text (Universal) vs Giggy Speech to Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-giggy-stt.md)\n- [AssemblyAI Speech-to-Text (Universal) vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-minimax-stt.md)\n- [Azure AI Speech speech-to-text vs Giggy Speech to Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-giggy-stt.md)\n- [Azure AI Speech speech-to-text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-minimax-stt.md)\n- [Cartesia Ink vs Giggy Speech to Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-giggy-stt.md)\n- [Cartesia Ink vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-minimax-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Giggy Speech to Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-minimax-stt.md)\n- [ElevenLabs Scribe Speech to Text API vs Giggy Speech to Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.md)\n- [ElevenLabs Scribe Speech to Text API vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-minimax-stt.md)\n- [Giggy Speech to Text vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/giggy-stt-vs-gladia-stt.md)\n- [Giggy Speech to Text vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-google-speech-to-text.md)\n- [Giggy Speech to Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text.md)\n- [Giggy Speech to Text vs IBM Watson Speech to Text](https://www.anchorterminal.com/compare/giggy-stt-vs-ibm-watson-stt.md)\n- [Giggy Speech to Text vs Inworld STT](https://www.anchorterminal.com/compare/giggy-stt-vs-inworld-stt.md)\n- [Giggy Speech to Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/giggy-stt-vs-mistral-voxtral-transcribe.md)\n- [Giggy Speech to Text vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/giggy-stt-vs-openai-speech-to-text.md)\n- [Giggy Speech to Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/giggy-stt-vs-rev-ai-stt.md)\n- [Giggy Speech to Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/giggy-stt-vs-smallest-pulse-stt.md)\n- [Giggy Speech to Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-soniox-stt.md)\n- [Giggy Speech to Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-speechmatics-stt.md)\n- [Gladia Speech-to-Text API + MCP vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-minimax-stt.md)\n- [Google Cloud Speech-to-Text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-minimax-stt.md)\n- [Groq Speech-to-Text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.md)\n- [IBM Watson Speech to Text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/ibm-watson-stt-vs-minimax-stt.md)\n- [Inworld STT vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/inworld-stt-vs-minimax-stt.md)\n- [MiniMax Speech-to-Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/minimax-stt-vs-mistral-voxtral-transcribe.md)\n- [MiniMax Speech-to-Text vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/minimax-stt-vs-openai-speech-to-text.md)\n- [MiniMax Speech-to-Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/minimax-stt-vs-rev-ai-stt.md)\n- [MiniMax Speech-to-Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/minimax-stt-vs-smallest-pulse-stt.md)\n- [MiniMax Speech-to-Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/minimax-stt-vs-soniox-stt.md)\n- [MiniMax Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/minimax-stt-vs-speechmatics-stt.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Giggy Speech to Text vs MiniMax Speech-to-Text", "url": "" } ], "description": "Giggy Speech to Text scores 54.5 (C) to MiniMax Speech-to-Text's 48.4 (D) for speech-to-text. 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