{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"deepgram","slug":"deepgram","name":"Deepgram","type":"api","url":"https://deepgram.com","page_url":"https://unfragile.ai/deepgram","categories":["voice-audio"],"tags":[],"pricing":{"model":"usage-based","free":true,"starting_price":"$0.0043/min"},"status":"active","verified":false},"capabilities":[{"id":"deepgram__cap_0","uri":"capability://data.processing.analysis.real.time.streaming.speech.to.text.with.ultra.low.latency.turn.detection","name":"real-time streaming speech-to-text with ultra-low latency turn detection","description":"Converts live audio streams to text via WebSocket protocol using Flux English or Flux Multilingual models optimized for conversational speech. Implements automatic turn-taking detection to identify speaker transitions in real-time, enabling natural voice agent interactions without explicit end-of-speech markers. Processes continuous audio streams with sub-100ms latency targets for conversational responsiveness.","intents":["Build a voice agent that understands when the user has finished speaking and responds naturally","Transcribe live phone calls or video conferences with minimal delay","Create interactive voice applications that react to speech in real-time"],"best_for":["Voice agent developers building conversational AI systems","Real-time communication platforms (video conferencing, telephony)","Interactive voice application builders requiring sub-second latency"],"limitations":["Flux English model limited to English language only; Flux Multilingual supports only 10 languages (EN, ES, DE, FR, HI, RU, PT, JA, IT, NL)","WebSocket concurrency limits: 150 for Free tier, 225 for Growth tier, custom for Enterprise","Turn detection optimized for conversational speech; may misfire on pauses or background noise","No documented maximum stream duration or automatic reconnection logic"],"requires":["API key for Deepgram authentication","WebSocket client library (native browser WebSocket or SDK wrapper)","Audio input device or stream source with PCM audio format","Network connection with stable latency for real-time processing"],"input_types":["audio stream (PCM, WAV, or codec-encoded via WebSocket)","live microphone input","streaming audio from telephony systems"],"output_types":["JSON transcript objects with word-level timing","speaker identification metadata","confidence scores per word"],"categories":["data-processing-analysis","real-time-streaming"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_1","uri":"capability://data.processing.analysis.batch.speech.to.text.transcription.with.speaker.diarization.and.smart.formatting","name":"batch speech-to-text transcription with speaker diarization and smart formatting","description":"Processes pre-recorded audio files via REST API using Nova-3 Monolingual or Nova-3 Multilingual models to generate full transcripts with speaker identification, automatic punctuation, capitalization, and readability enhancements. Supports multi-channel audio for automatic speaker attribution. Returns structured JSON with word-level timing, confidence scores, and speaker labels for each utterance.","intents":["Transcribe recorded meetings, interviews, or podcasts with automatic speaker labels","Convert audio files to searchable, formatted text with proper punctuation and capitalization","Extract speaker-attributed quotes from multi-speaker recordings for analysis or compliance"],"best_for":["Content creators and podcasters needing accurate transcripts with speaker attribution","Enterprise compliance and legal teams processing recorded communications","Researchers and analysts working with interview or focus group recordings"],"limitations":["Maximum file size and duration not documented; batch processing latency unknown","Speaker diarization accuracy depends on audio quality and speaker overlap; no documented error rates","Nova-3 Multilingual supports 45+ languages but requires single language per request (no automatic language switching within file)","Smart formatting (punctuation, capitalization) is rule-based post-processing; may fail on technical jargon or domain-specific terminology"],"requires":["API key for Deepgram authentication","Pre-recorded audio file in supported format (specific codecs not documented)","HTTP client for REST API calls","Audio file must be accessible via file upload or URL"],"input_types":["audio files (WAV, MP3, OGG, FLAC, or other formats)","multi-channel audio for speaker diarization","audio URLs for remote file processing"],"output_types":["JSON transcript with word-level timing and confidence","speaker diarization labels (Speaker 1, Speaker 2, etc.)","formatted text with punctuation and capitalization","metadata including language, duration, and processing time"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_10","uri":"capability://automation.workflow.self.hosted.and.cloud.deployment.options.with.data.residency.control","name":"self-hosted and cloud deployment options with data residency control","description":"Deepgram offers both cloud-hosted API and self-hosted deployment options, allowing organizations to run speech-to-text and text-to-speech models on their own infrastructure. Self-hosted deployments provide data residency guarantees and eliminate data transmission to Deepgram's servers, addressing privacy and compliance requirements.","intents":["Deploy Deepgram models on-premises for data privacy and compliance (HIPAA, GDPR, etc.)","Maintain full control over model inference and avoid cloud vendor lock-in","Process sensitive audio data without transmitting to external servers"],"best_for":["Healthcare, legal, and financial services organizations with strict data residency requirements","Enterprises with on-premises infrastructure and security policies","Organizations processing highly sensitive or regulated data"],"limitations":["Self-hosted deployment requirements not documented (hardware specs, OS support, container format)","Licensing model for self-hosted deployments unknown; likely different from cloud pricing","Support and SLA for self-hosted deployments not documented","Model updates and version management for self-hosted deployments unclear","Specific regions and data residency options for cloud deployment not documented"],"requires":["On-premises infrastructure (hardware specs unknown)","Container runtime (Docker, Kubernetes, etc.) or native binary support","Network connectivity for model updates and licensing verification","Enterprise contract with Deepgram for self-hosted licensing"],"input_types":["audio streams or files","text input for TTS"],"output_types":["transcripts and synthesis results","same as cloud API"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_11","uri":"capability://automation.workflow.free.tier.with.200.credit.and.no.expiration","name":"free tier with $200 credit and no expiration","description":"Deepgram offers a free tier providing $200 in usage credits with no expiration date, allowing developers to experiment with all API features without payment. Free tier includes concurrency limits (50 STT REST, 150 STT WebSocket, 45 TTS, 10 Audio Intelligence) but no per-minute or per-hour request rate limits. No credit card required for signup.","intents":["Prototype and test Deepgram APIs without financial commitment","Evaluate model quality and accuracy before purchasing","Build small-scale applications or hobby projects with zero cost"],"best_for":["Individual developers and hobbyists","Startups evaluating Deepgram before committing to paid plans","Students and researchers prototyping voice AI applications"],"limitations":["Concurrency limits may be restrictive for production applications: 50 concurrent STT REST requests, 150 WebSocket connections","Audio Intelligence limited to 10 concurrent requests","No documented SLA or uptime guarantee for free tier","$200 credit may be insufficient for sustained production use","No documented credit expiration policy; unclear if credits expire after inactivity"],"requires":["Deepgram account (email signup, no credit card required)","API key generation from account dashboard"],"input_types":["any supported audio format or text input"],"output_types":["same as paid tiers"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_12","uri":"capability://automation.workflow.pay.as.you.go.and.growth.plan.pricing.with.volume.discounts","name":"pay-as-you-go and growth plan pricing with volume discounts","description":"Deepgram offers two primary pricing models: pay-as-you-go with per-minute rates for STT and TTS, and Growth plan with annual pre-paid credits offering up to 20% discount. Pricing varies by model (Flux vs. Nova-3) and processing mode (streaming vs. batch). Enterprise plans available with custom pricing and concurrency limits.","intents":["Choose pricing model that matches application usage patterns and budget","Estimate costs for voice AI applications at scale","Optimize spending through volume discounts on annual commitments"],"best_for":["Startups and small companies with variable usage patterns (pay-as-you-go)","Established companies with predictable usage (Growth plan with annual commitment)","Enterprise organizations requiring custom SLAs and volume discounts"],"limitations":["TTS and Voice Agent API pricing not detailed; unclear if per-minute, per-character, or per-request","Audio Intelligence pricing not documented","Growth plan minimum commitment not documented; likely $4K+/year based on pricing tiers","Enterprise pricing requires sales engagement; no self-service option","Batch processing pricing structure mentioned but specific rates not provided"],"requires":["Deepgram account","Payment method (credit card for pay-as-you-go, contract for Growth/Enterprise)"],"input_types":["usage metrics (minutes of audio processed)"],"output_types":["monthly billing statement","usage dashboard and analytics"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_13","uri":"capability://tool.use.integration.web.based.playground.for.api.testing.and.exploration","name":"web-based playground for api testing and exploration","description":"Interactive web interface allowing developers to test Deepgram APIs without writing code. Supports uploading audio files, configuring model parameters, and viewing real-time transcription results with detailed metadata (confidence scores, timing, speaker attribution). Provides visual feedback and API request/response inspection for learning and debugging.","intents":["Quickly test Deepgram models with sample audio before integrating into applications","Explore model parameters and their effects on transcription quality","Debug transcription issues by inspecting detailed metadata and confidence scores"],"best_for":["Developers new to Deepgram evaluating model quality","Non-technical stakeholders demonstrating capabilities to decision-makers","QA teams testing transcription accuracy on specific audio samples"],"limitations":["Playground limited to testing; cannot be used for production transcription","Real-time streaming testing may be limited or unavailable in web interface","File upload size limits not documented","Playground may not expose all API parameters or advanced options"],"requires":["Web browser with modern JavaScript support","Deepgram account (optional; may have limited access without account)"],"input_types":["audio file upload","model and parameter selection via UI"],"output_types":["visual transcript display","confidence scores and metadata","API request/response JSON"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_14","uri":"capability://automation.workflow.concurrency.based.rate.limiting.with.tier.specific.quotas","name":"concurrency-based rate limiting with tier-specific quotas","description":"Rate limiting enforced via concurrent connection limits rather than requests-per-second, with different quotas for each API endpoint and pricing tier. STT streaming supports 150 concurrent WSS connections (Free), 225 (Growth); REST API supports 100 concurrent; TTS supports 45-60 concurrent; Audio Intelligence supports 10 concurrent. Enables predictable scaling for applications with variable request patterns.","intents":["Understand rate limits for your pricing tier before deploying to production","Design applications that respect concurrency limits without exceeding quotas","Plan capacity for peak concurrent usage scenarios"],"best_for":["Teams deploying voice agents with predictable concurrent user counts","Batch processing systems that can parallelize within concurrency limits","Applications with variable request patterns (concurrency-based limits more flexible than RPS)"],"limitations":["Concurrency limits are per-endpoint — no global rate limit pool","No burst capacity or temporary overages allowed","Upgrading to Growth tier requires annual commitment ($4,000+ minimum)","Enterprise tier concurrency limits not documented"],"requires":["API key from Deepgram","Understanding of your application's peak concurrent usage"],"input_types":["concurrent API requests"],"output_types":["rate limit headers in API responses (format not documented)"],"categories":["automation-workflow","rate-limiting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_15","uri":"capability://automation.workflow.tiered.pricing.with.free.pay.as.you.go.growth.and.enterprise.options","name":"tiered pricing with free, pay-as-you-go, growth, and enterprise options","description":"Four-tier pricing model: Free tier with $200 credit (no expiration), Pay-As-You-Go with per-minute pricing ($0.0058-$0.0165/min for STT depending on model), Growth tier with annual commitment ($4,000+ minimum, up to 20% discount), and Enterprise tier with custom pricing. Enables organizations to start free and scale to enterprise volumes with predictable costs.","intents":["Start using Deepgram for free without credit card to evaluate the service","Scale from free to pay-as-you-go as usage grows","Commit to annual Growth plan for volume discounts on predictable workloads"],"best_for":["Startups and individual developers evaluating Deepgram with free tier","Small teams with variable usage patterns (pay-as-you-go)","Enterprises with predictable high-volume usage (Growth or Enterprise)"],"limitations":["Free tier credit has no expiration but may be revoked if account is inactive","Growth tier requires annual commitment — no monthly option","TTS and Audio Intelligence pricing not itemized separately","Enterprise pricing requires sales contact — no transparent pricing"],"requires":["Deepgram account (free signup, no credit card required for free tier)"],"input_types":["pricing tier selection"],"output_types":["usage-based billing"],"categories":["automation-workflow","pricing-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_2","uri":"capability://data.processing.analysis.automatic.language.detection.and.multilingual.transcription","name":"automatic language detection and multilingual transcription","description":"Automatically identifies the language spoken in audio and transcribes it using Nova-3 Multilingual model supporting 45+ languages, or uses Flux Multilingual for real-time streaming across 10 languages. For streaming conversations, Flux Multilingual can handle language switching within a single session without requiring manual language specification or model switching.","intents":["Transcribe international calls or meetings without knowing the language in advance","Build multilingual voice agents that adapt to user language automatically","Process global customer support recordings in multiple languages with a single API call"],"best_for":["Global enterprises with multilingual customer bases","International communication platforms (video conferencing, customer support)","Multilingual voice agent developers"],"limitations":["Flux Multilingual limited to 10 languages (EN, ES, DE, FR, HI, RU, PT, JA, IT, NL); Nova-3 supports 45+ but specific language list not documented","Language detection accuracy depends on audio duration and clarity; no documented minimum audio length for reliable detection","Nova-3 Multilingual requires single language per request (no automatic switching); Flux Multilingual supports mid-conversation language switching but only for 10 languages","Automatic language detection adds latency; specific overhead not documented"],"requires":["API key for Deepgram authentication","Audio input in one of the supported languages","For streaming: WebSocket connection and Flux Multilingual model selection","For batch: REST API call with Nova-3 Multilingual model"],"input_types":["audio stream (WebSocket for real-time)","pre-recorded audio file (REST API for batch)","live microphone input"],"output_types":["detected language code (ISO 639-1 or similar)","transcript in detected language","confidence score for language detection","word-level timing and speaker attribution"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_3","uri":"capability://data.processing.analysis.domain.specific.transcription.accuracy.via.keyterm.prompting","name":"domain-specific transcription accuracy via keyterm prompting","description":"Biases transcription toward domain-specific terminology by accepting a list of keywords or phrases that should be prioritized during decoding. The model adjusts its language model weights to favor these terms, improving accuracy for technical jargon, proper nouns, product names, or industry-specific vocabulary that might otherwise be misrecognized.","intents":["Transcribe medical or legal recordings with accurate domain terminology","Improve recognition of product names, brand names, or technical jargon in customer support calls","Ensure proper nouns and company-specific terminology are correctly transcribed"],"best_for":["Healthcare, legal, and financial services organizations with domain-specific vocabulary","Technical support and customer service teams handling specialized products","Enterprise transcription systems requiring high accuracy on proprietary terminology"],"limitations":["Keyterm list size limit not documented; performance impact of large term lists unknown","Biasing mechanism may reduce accuracy on out-of-domain terms or create false positives","Requires manual curation of keyterm list; no automatic term extraction or suggestion","Effectiveness depends on audio quality and speaker clarity; may not overcome severe audio degradation"],"requires":["API key for Deepgram authentication","Pre-defined list of domain-specific keywords or phrases","Audio input (streaming or batch)","Knowledge of domain terminology to construct effective keyterm list"],"input_types":["audio stream or file","keyterm list (format and size limits not documented)"],"output_types":["transcript with improved domain terminology accuracy","word-level confidence scores","speaker attribution and timing"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_4","uri":"capability://data.processing.analysis.custom.speech.to.text.models.trained.on.proprietary.datasets","name":"custom speech-to-text models trained on proprietary datasets","description":"Deepgram offers custom model training for organizations with proprietary audio data, domain-specific vocabulary, or unique acoustic environments. Custom models are trained on client-provided datasets to optimize accuracy for specific use cases, languages, or speaker populations. Pricing and training timeline available through enterprise sales.","intents":["Achieve highest possible accuracy for specialized domains (medical, legal, technical) with proprietary terminology","Optimize transcription for specific accents, dialects, or speaker populations","Build proprietary voice AI capabilities with models trained on internal data"],"best_for":["Enterprise organizations with large proprietary audio datasets","Specialized industries (healthcare, law, finance) with unique vocabulary and compliance requirements","Companies seeking competitive advantage through custom-trained models"],"limitations":["Pricing and availability require enterprise sales engagement; no self-service option","Training timeline not documented; likely weeks to months depending on dataset size","Minimum dataset size and quality requirements not publicly documented","Model versioning and update policies unknown; unclear how to handle model drift over time"],"requires":["Enterprise contract with Deepgram","Large proprietary audio dataset (minimum size unknown)","Transcribed labels or ground truth for training data","Domain expertise to curate and validate training data"],"input_types":["audio files with transcription labels","domain-specific vocabulary lists","speaker metadata (accent, dialect, demographics)"],"output_types":["custom trained model (deployment method unknown)","model performance metrics and benchmarks","API endpoint for custom model inference"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_5","uri":"capability://text.generation.language.text.to.speech.synthesis.with.streaming.audio.output","name":"text-to-speech synthesis with streaming audio output","description":"Converts text input to natural-sounding speech using Deepgram's Speak model, supporting multiple voices and languages. Implements streaming output via WebSocket or HTTP chunked transfer, enabling real-time audio playback without waiting for full synthesis completion. Supports continuous text stream processing for applications that generate text incrementally (e.g., LLM outputs).","intents":["Generate voice output for voice agents that respond to user input in real-time","Stream synthesized speech to users as text is generated by an LLM","Create accessible audio versions of text content with natural-sounding voices"],"best_for":["Voice agent developers building conversational AI with natural speech output","Accessibility-focused applications requiring text-to-speech","Real-time communication platforms (video conferencing, customer support)"],"limitations":["Available voices and languages not documented; specific voice options unknown","Maximum text length per request not documented","Pricing structure for TTS not detailed (per-character, per-request, or per-minute unknown)","Audio output format and quality options not documented","Streaming latency and buffering behavior not specified"],"requires":["API key for Deepgram authentication","Text input (format and encoding not specified)","WebSocket client or HTTP client for streaming","Audio playback capability on client side"],"input_types":["text string","streaming text stream (for incremental synthesis)","voice selection parameter","language specification"],"output_types":["audio stream (format not documented)","chunked audio data via WebSocket or HTTP","metadata (synthesis duration, voice info)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_6","uri":"capability://tool.use.integration.unified.voice.agent.orchestration.combining.stt.llm.routing.and.tts","name":"unified voice agent orchestration combining stt, llm routing, and tts","description":"Voice Agent API provides a single endpoint that orchestrates speech-to-text transcription, routes to external LLMs or internal logic, and synthesizes responses back to speech. Handles conversation state management, turn-taking, interruption detection, and automatic language detection within a single WebSocket connection. Abstracts away the complexity of coordinating multiple models and managing real-time audio streams.","intents":["Build a complete voice agent without managing separate STT, LLM, and TTS pipelines","Create conversational AI that handles interruptions and natural turn-taking automatically","Deploy multilingual voice agents that adapt to user language in real-time"],"best_for":["Voice agent developers seeking rapid prototyping and deployment","Teams without deep expertise in audio processing or real-time systems","Applications requiring natural conversation flow with automatic turn management"],"limitations":["LLM routing mechanism not documented; unclear how external LLMs are integrated or if only Deepgram-hosted LLMs are supported","Pricing structure for Voice Agent API not detailed; likely combines STT + TTS + LLM orchestration costs","Concurrency limits: 45 for Free tier, 60 for Growth tier, custom for Enterprise","Interruption handling behavior not specified; unclear how aggressive interruption detection is","State management and conversation history handling not documented"],"requires":["API key for Deepgram authentication","WebSocket client for real-time communication","Audio input/output capability","Optional: external LLM API key if using non-Deepgram LLM"],"input_types":["audio stream (live microphone or telephony)","LLM configuration (model, system prompt, parameters)","conversation context or history"],"output_types":["audio response stream","transcript of user input","LLM response text","conversation metadata (language, speaker info)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_7","uri":"capability://data.processing.analysis.post.transcription.sentiment.analysis.and.topic.detection","name":"post-transcription sentiment analysis and topic detection","description":"Audio Intelligence API analyzes transcribed speech to extract emotional tone (sentiment analysis) and identify subject matter (topic detection). These analyses are performed on transcripts after speech-to-text processing, providing structured metadata about conversation content and speaker emotion. Supports batch processing of multiple transcripts.","intents":["Analyze customer support calls to identify sentiment and satisfaction levels","Automatically categorize conversations by topic for routing or analysis","Extract emotional insights from interviews, focus groups, or user research recordings"],"best_for":["Customer experience and quality assurance teams analyzing support interactions","Market research and user research teams processing interview recordings","Enterprise analytics platforms requiring conversation intelligence"],"limitations":["Sentiment analysis operates on transcripts, not raw audio; accuracy depends on transcription quality","Topic detection specificity not documented; unclear if it returns predefined categories or open-ended topics","Concurrency limits: 10 for Free tier, 10 for Growth tier (same as Free), custom for Enterprise","Pricing for Audio Intelligence not documented","No real-time streaming support; batch processing only"],"requires":["API key for Deepgram authentication","Transcript text (from Deepgram STT or external source)","HTTP client for REST API calls"],"input_types":["transcript text","audio file (if running STT + Intelligence together)"],"output_types":["sentiment score (scale not documented)","sentiment label (positive, negative, neutral, etc.)","detected topics (format not documented)","topic confidence scores"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_8","uri":"capability://tool.use.integration.deepgram.cli.with.28.built.in.api.commands.and.mcp.server.integration","name":"deepgram cli with 28 built-in api commands and mcp server integration","description":"Command-line interface providing direct access to all Deepgram API endpoints without writing code. Includes 28 pre-built commands for STT, TTS, and Audio Intelligence operations. Implements a Model Context Protocol (MCP) server, enabling AI agents and LLMs to invoke Deepgram capabilities as structured tools with schema-based function calling.","intents":["Test Deepgram APIs quickly from the command line without writing client code","Integrate Deepgram into AI agent workflows via MCP protocol","Automate batch transcription or TTS jobs via shell scripts or CI/CD pipelines"],"best_for":["Developers prototyping or testing Deepgram APIs","AI agent builders using MCP-compatible frameworks (Claude, etc.)","DevOps and automation engineers building transcription pipelines"],"limitations":["CLI command set limited to 28 operations; may not expose all API parameters or advanced options","MCP server integration requires MCP-compatible client; not all LLM frameworks support MCP","CLI authentication mechanism not documented (environment variables, config files, etc.)","Error handling and retry logic in CLI not documented"],"requires":["Deepgram CLI installed (installation method and supported platforms not documented)","API key configured (via environment variable or config file)","For MCP: MCP-compatible AI agent framework or LLM client"],"input_types":["command-line arguments","audio files or URLs","text input for TTS","configuration parameters"],"output_types":["JSON transcript or synthesis result","structured tool schema for MCP clients","command-line formatted output (text, JSON, etc.)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__cap_9","uri":"capability://tool.use.integration.multi.sdk.support.across.python.javascript.net.go.and.java","name":"multi-sdk support across python, javascript, .net, go, and java","description":"Deepgram provides native SDKs for five major programming languages, each implementing the full API surface (STT, TTS, Audio Intelligence, Voice Agent). SDKs handle authentication, request/response serialization, WebSocket connection management, and error handling. Abstracts API details while maintaining language-specific idioms and conventions.","intents":["Integrate Deepgram into applications built in Python, JavaScript, .NET, Go, or Java","Reduce development time by using pre-built client libraries instead of raw HTTP/WebSocket calls","Leverage language-specific features (async/await, type safety, dependency injection) for Deepgram integration"],"best_for":["Development teams using Python, JavaScript, .NET, Go, or Java as primary languages","Organizations with polyglot codebases requiring Deepgram integration across multiple languages","Developers seeking type-safe, idiomatic API clients"],"limitations":["SDK versions and maintenance status not documented; unclear which versions are current or deprecated","SDK feature parity not documented; unclear if all SDKs support all API features equally","No official SDKs for Ruby, PHP, Rust, or other languages","SDK documentation quality and completeness not specified"],"requires":["Language runtime (Python 3.x, Node.js 14+, .NET 6+, Go 1.16+, Java 11+)","SDK package installed via package manager (pip, npm, NuGet, go get, Maven)","API key for authentication"],"input_types":["audio streams or files","text input for TTS","configuration objects"],"output_types":["language-specific objects (classes, dataclasses, structs)","JSON serializable responses","async streams for real-time processing"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"deepgram__headline","uri":"capability://voice.audio.enterprise.speech.to.text.and.text.to.speech.api","name":"enterprise speech-to-text and text-to-speech api","description":"Deepgram provides an enterprise-grade API for speech-to-text and text-to-speech, leveraging advanced deep learning models for high accuracy and real-time processing, ideal for applications requiring transcription and audio generation.","intents":["best speech-to-text API","text-to-speech API for real-time applications","enterprise audio transcription solutions","AI-powered voice recognition services","top audio intelligence APIs"],"best_for":["real-time transcription","audio content creation","voice-enabled applications"],"limitations":[],"requires":[],"input_types":["audio files","text input"],"output_types":["transcribed text","audio output"],"categories":["voice-audio"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":59,"verified":false,"data_access_risk":"high","permissions":["API key for Deepgram authentication","WebSocket client library (native browser WebSocket or SDK wrapper)","Audio input device or stream source with PCM audio format","Network connection with stable latency for real-time processing","Pre-recorded audio file in supported format (specific codecs not documented)","HTTP client for REST API calls","Audio file must be accessible via file upload or URL","On-premises infrastructure (hardware specs unknown)","Container runtime (Docker, Kubernetes, etc.) or native binary support","Network connectivity for model updates and licensing verification"],"failure_modes":["Flux English model limited to English language only; Flux Multilingual supports only 10 languages (EN, ES, DE, FR, HI, RU, PT, JA, IT, NL)","WebSocket concurrency limits: 150 for Free tier, 225 for Growth tier, custom for Enterprise","Turn detection optimized for conversational speech; may misfire on pauses or background noise","No documented maximum stream duration or automatic reconnection logic","Maximum file size and duration not documented; batch processing latency unknown","Speaker diarization accuracy depends on audio quality and speaker overlap; no documented error rates","Nova-3 Multilingual supports 45+ languages but requires single language per request (no automatic language switching within file)","Smart formatting (punctuation, capitalization) is rule-based post-processing; may fail on technical jargon or domain-specific terminology","Self-hosted deployment requirements not documented (hardware specs, OS support, container format)","Licensing model for self-hosted deployments unknown; likely different from cloud pricing","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.548Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=deepgram","compare_url":"https://unfragile.ai/compare?artifact=deepgram"}},"signature":"ZTb1rcjsbn+xab9ozpPtSI47kS+lTNN4EoCpr/CEm1F1W2TcATCcXGd7pE+AaOTVnrVUP1L/nuuEXAaToXO8Cw==","signedAt":"2026-06-15T03:49:54.782Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/deepgram","artifact":"https://unfragile.ai/deepgram","verify":"https://unfragile.ai/api/v1/verify?slug=deepgram","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}