{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"cartesia","slug":"cartesia","name":"Cartesia","type":"api","url":"https://cartesia.ai","page_url":"https://unfragile.ai/cartesia","categories":["voice-audio"],"tags":[],"pricing":{"model":"usage-based","free":true,"starting_price":"$0.65/hr"},"status":"active","verified":false},"capabilities":[{"id":"cartesia__cap_0","uri":"capability://text.generation.language.ultra.low.latency.streaming.text.to.speech.with.state.space.model.architecture","name":"ultra-low-latency streaming text-to-speech with state-space model architecture","description":"Generates speech from text input using state-space model (SSM) architecture optimized for real-time streaming, delivering time-to-first-audio in 40-90ms depending on model variant (Sonic-Turbo: 40ms, Sonic-3: 90ms). Streams audio chunks progressively to client as text is processed, enabling interactive voice agent applications with near-instantaneous speech output. Uses character-level pricing (1 credit per character) with support for 42 languages and dynamic voice control parameters.","intents":["Build voice agents that respond to user input with minimal perceptible latency","Create interactive gaming or real-time media applications requiring instant speech synthesis","Develop conversational AI systems where speech generation latency is a critical UX factor","Stream high-throughput speech generation for multiple concurrent users without blocking"],"best_for":["Voice agent developers building real-time conversational systems","Gaming studios implementing dynamic NPC dialogue","Interactive media platforms (streaming, live events) requiring sub-100ms speech latency","Teams building telephony or voice-based customer service agents"],"limitations":["Maximum input length per request not documented; character-level pricing suggests potential cost scaling for very long texts","Streaming model requires persistent connection; not suitable for simple batch-and-forget use cases","Time-to-first-audio of 40-90ms assumes optimal network conditions; actual latency varies with client network and audio buffer size","No documented maximum concurrent streaming sessions per API key; concurrency limits enforced at tier level (2-15 concurrent TTS requests depending on plan)"],"requires":["API key from Cartesia (obtain via cartesia.ai dashboard)","Network connection supporting WebSocket or HTTP streaming","Client capable of handling streaming audio chunks (browser Web Audio API, native audio library, or SDK)","Minimum plan: Free tier (2 concurrent requests, 20K credits/month) or higher"],"input_types":["text (UTF-8 encoded, character-based pricing)","text with emotion control tokens (e.g., '[excited]', '[sad]')","text with laughter tokens (e.g., '[laughter]')","text with acronym/initialism hints for pronunciation control"],"output_types":["streaming audio chunks (format not specified in docs, likely PCM or MP3)","time-to-first-audio metric (milliseconds)","total generation duration"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_1","uri":"capability://text.generation.language.emotion.and.prosody.control.in.speech.synthesis","name":"emotion and prosody control in speech synthesis","description":"Enables fine-grained control over emotional tone and prosodic characteristics of generated speech through inline text tokens and voice parameters. Supports explicit emotion markers like '[excited]' and '[sad]' embedded in input text, allowing dynamic emotional expression within a single speech generation request. Works in conjunction with voice selection and voice localization to modulate pitch, pace, and emotional coloring of output audio.","intents":["Create emotionally expressive voice agents that respond with appropriate tone to user sentiment","Generate dialogue for games or interactive media with character-specific emotional delivery","Build customer service agents that convey empathy or urgency through voice tone","Produce audiobook or narrative content with varied emotional expression across scenes"],"best_for":["Game developers building character-driven dialogue systems","Conversational AI teams implementing empathetic voice agents","Content creators producing audiobooks or narrative media with emotional nuance","Customer experience teams building emotionally-aware support agents"],"limitations":["Supported emotions not exhaustively documented; only '[excited]' and '[sad]' shown in examples","Emotion control mechanism (token-based vs parameter-based) not fully specified","No documented way to blend multiple emotions or control emotion intensity/strength","Emotion rendering quality depends on underlying voice model; some voices may express emotions more convincingly than others"],"requires":["API key from Cartesia","Text input with embedded emotion tokens (format: '[emotion_name]')","Sufficient credits (1 credit per character of input text)"],"input_types":["text with emotion tokens embedded (e.g., 'I am [excited] to announce...')","voice selection parameter (voice ID)","optional voice localization parameter for accent/regional variation"],"output_types":["streaming audio with modulated prosody and emotional tone","audio characteristics: pitch variation, pace modulation, voice quality changes reflecting emotion"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_10","uri":"capability://automation.workflow.credit.based.usage.pricing.with.character.level.granularity","name":"credit-based usage pricing with character-level granularity","description":"Implements credit-based pricing model where TTS generation costs 1 credit per character of input text, with additional credits for advanced features (voice cloning, localization, infilling). Credits are allocated monthly based on subscription tier (Free: 20K, Pro: 100K, Startup: 1.25M, Scale: 8M, Enterprise: custom) and do not roll over between months. This granular pricing model enables transparent cost prediction and prevents surprise bills.","intents":["Predict and control API costs based on input text volume","Allocate budgets across multiple voice agent deployments","Optimize content generation strategies based on credit costs","Scale voice agent usage predictably as business grows"],"best_for":["Cost-conscious teams wanting transparent, predictable API pricing","Startups with limited budgets needing to control spending","Enterprise teams allocating budgets across multiple projects","Content platforms with variable generation volume"],"limitations":["Credits do not roll over between months; unused credits are forfeited","No documented way to purchase additional credits mid-month if tier limit is exceeded","Character-level pricing means longer texts cost proportionally more; no bulk discounts documented","Advanced features (voice cloning, localization, infilling) have separate credit costs; total cost can be unpredictable for complex operations","No documented way to monitor credit usage in real-time or set spending alerts"],"requires":["Subscription plan (Free, Pro, Startup, Scale, or Enterprise)","API key from Cartesia","Sufficient credits for intended usage (1 credit per character for TTS)"],"input_types":["text input (character count determines credit cost)","feature selection (voice cloning, localization, infilling add additional credits)"],"output_types":["credit usage metrics","remaining credit balance","cost breakdown by feature"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_11","uri":"capability://tool.use.integration.pre.built.integrations.with.voice.agent.and.rtc.platforms","name":"pre-built integrations with voice agent and rtc platforms","description":"Provides native integrations with popular voice agent frameworks (Pipecat, Rasa), real-time communication platforms (LiveKit, Tencent RTC, Twilio), and specialized voice agent services (Thoughtly, Vision Agents by Stream). Integrations handle authentication, streaming audio transport, and request/response marshaling, enabling developers to use Cartesia TTS/STT without building custom API clients.","intents":["Quickly integrate Cartesia TTS/STT into existing voice agent frameworks","Build voice agents using Pipecat or Rasa with minimal custom code","Deploy voice agents on LiveKit or Twilio infrastructure with Cartesia audio","Use Cartesia with specialized voice agent services (Thoughtly, Vision Agents)"],"best_for":["Developers using Pipecat, Rasa, or other supported frameworks","Teams deploying on LiveKit, Twilio, or Tencent RTC infrastructure","Rapid prototyping teams wanting to minimize integration effort","Developers unfamiliar with Cartesia API wanting pre-built integration patterns"],"limitations":["Integration availability not documented; unclear which frameworks/platforms have official integrations vs community-built","Integration maturity and maintenance status not documented","Integration feature coverage not documented; may not support all Cartesia capabilities","Custom integration required for unsupported frameworks or platforms","Integration updates may lag behind Cartesia API updates"],"requires":["API key from Cartesia","Supported framework or platform (Pipecat, Rasa, LiveKit, Twilio, Tencent RTC, Thoughtly, Vision Agents)","Framework/platform API credentials and configuration"],"input_types":["framework/platform-specific configuration","text input (for TTS) or audio input (for STT)"],"output_types":["audio output (for TTS) or text output (for STT)","framework/platform-specific response format"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_12","uri":"capability://automation.workflow.agent.credit.system.for.voice.agent.deployments","name":"agent credit system for voice agent deployments","description":"Provides separate credit allocation for voice agent deployments through 'agent credits' distinct from model credits. Agent credits are prepaid amounts (Free: $1, Pro: $5, Startup: $49, Scale: $299, Enterprise: custom) that fund voice agent operations, enabling separate cost tracking and budget management for agent-based systems vs direct API usage. Mechanism for converting agent credits to API calls is not documented.","intents":["Track and manage costs separately for voice agent deployments vs direct API usage","Allocate budgets to different voice agent projects or teams","Prepay for voice agent operations with predictable monthly costs","Monitor voice agent spending independently from other API usage"],"best_for":["Teams running multiple voice agent projects with separate budgets","Organizations wanting to track voice agent costs separately from other API usage","Startups with limited budgets wanting predictable monthly voice agent costs","Enterprise teams allocating costs to different departments or projects"],"limitations":["Agent credit mechanism not documented; unclear how agent credits convert to API calls","Relationship between agent credits and model credits unclear; may be separate pools or shared","No documented way to monitor agent credit usage or set spending alerts","Agent credit allocation is fixed per tier; no way to purchase additional agent credits mid-month","Agent credit rollover policy not documented; unclear if unused credits roll over"],"requires":["Subscription plan with agent credits (Free: $1, Pro: $5, Startup: $49, Scale: $299, Enterprise: custom)","API key from Cartesia","Voice agent deployment using Cartesia TTS/STT"],"input_types":["voice agent configuration","agent credit allocation"],"output_types":["agent credit usage metrics","remaining agent credit balance","cost breakdown by agent"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_2","uri":"capability://text.generation.language.instant.and.professional.voice.cloning.with.credit.based.training","name":"instant and professional voice cloning with credit-based training","description":"Supports two voice cloning modes: Instant Voice Cloning (IVC) requiring zero training credits, and Professional Voice Cloning (PVC) requiring 1M credits for one-time training plus 1.5 credits per character of generated speech. IVC uses speaker embedding extraction from reference audio to immediately synthesize speech in that voice without training. PVC trains a custom voice model on reference samples for higher quality and consistency, suitable for production voice agent deployments.","intents":["Clone a specific person's voice for brand consistency in voice agents or customer service","Create custom voice personas for games, virtual assistants, or interactive media without hiring voice actors","Generate speech in a user's own voice for personalized notifications or messages","Build voice agent systems with consistent, recognizable brand voice"],"best_for":["Enterprise voice agent teams requiring consistent brand voice across deployments","Game studios creating multiple character voices without voice actor hiring","Personalization-focused applications (e.g., custom notifications in user's voice)","Teams with existing voice talent wanting to scale voice generation without re-recording"],"limitations":["PVC training cost (1M credits) is substantial; at 1 credit per character, equivalent to 1M characters of standard TTS generation","IVC quality not documented; likely lower fidelity than PVC due to lack of training","Reference audio requirements for voice cloning not specified (duration, quality, format, language)","No documented way to update or fine-tune a cloned voice after initial training","Voice cloning may have legal/ethical implications for voice rights; no documented policies on consent or usage restrictions"],"requires":["API key from Cartesia","Reference audio sample(s) of target voice (format, duration, quality requirements unknown)","For IVC: minimal credits (1 credit per character of generated speech)","For PVC: 1M credits for training + 1.5 credits per character of generated speech; minimum plan: Startup tier (1.25M credits/month) or higher"],"input_types":["reference audio file (format unknown; likely WAV, MP3, or similar)","text input for speech generation in cloned voice","voice cloning mode selection (IVC vs PVC)"],"output_types":["streaming audio in cloned voice","voice ID or reference for future use of cloned voice","training status (for PVC)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_3","uri":"capability://text.generation.language.laughter.and.non.speech.vocalization.synthesis","name":"laughter and non-speech vocalization synthesis","description":"Generates laughter and other non-speech vocalizations (e.g., sighs, gasps) by embedding special tokens like '[laughter]' directly in input text. The synthesis engine recognizes these tokens and generates appropriate audio vocalizations that integrate seamlessly with surrounding speech, enabling natural conversational dynamics in voice agents and interactive media.","intents":["Create more natural, human-like voice agent responses that include laughter or emotional vocalizations","Generate dialogue for games or interactive media with realistic conversational filler sounds","Build voice agents that can express amusement, surprise, or other emotions through vocalizations","Produce audiobook or narrative content with natural speech patterns including laughter"],"best_for":["Voice agent developers building conversational systems with high naturalness requirements","Game dialogue writers creating character interactions with emotional authenticity","Content creators producing audiobooks or podcasts with natural speech patterns","Customer service teams building empathetic voice agents"],"limitations":["Supported vocalizations not exhaustively documented; only '[laughter]' explicitly shown","No control over laughter intensity, duration, or style (e.g., nervous laugh vs genuine laugh)","Vocalization quality depends on underlying voice model; some voices may produce more convincing laughter than others","Vocalizations are generated as part of streaming output; no separate vocalization-only API"],"requires":["API key from Cartesia","Text input with vocalization tokens (format: '[vocalization_name]')","Sufficient credits (1 credit per character of input text, including tokens)"],"input_types":["text with vocalization tokens embedded (e.g., 'That's funny [laughter]')","voice selection parameter","optional emotion or prosody parameters"],"output_types":["streaming audio with synthesized laughter or vocalizations integrated into speech","continuous audio stream without gaps between speech and vocalizations"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_4","uri":"capability://text.generation.language.voice.localization.and.accent.control","name":"voice localization and accent control","description":"Enables regional accent and localization control for synthesized speech through voice localization parameters, allowing the same voice to be rendered with different regional accents or pronunciation patterns. Implemented as a one-time 225-credit cost per localization variant, suggesting a voice model fine-tuning or adaptation approach. Supports 42 languages with localization variants available for each.","intents":["Adapt voice agents to regional markets with appropriate accents and pronunciation","Create multilingual voice agents with consistent voice identity across languages","Generate dialogue for games or media set in specific geographic regions with authentic accents","Build customer service agents that match customer regional expectations"],"best_for":["Global voice agent teams deploying to multiple regional markets","Game studios creating immersive worlds with region-specific character voices","Multilingual content platforms requiring voice consistency across languages","Customer service teams serving geographically diverse customer bases"],"limitations":["Voice localization cost (225 credits per variant) is significant; must be paid once per voice-language-accent combination","Supported accent variants not documented; unclear which languages/accents are available","No documented way to customize accent intensity or blend multiple accents","Localization variants are pre-trained; no real-time accent adaptation based on input parameters","Language support (42 languages) documented for TTS, but which languages support which accents is unclear"],"requires":["API key from Cartesia","225 credits per voice localization variant (one-time cost)","Voice selection parameter","Target language and accent selection","Minimum plan: Free tier (20K credits/month) can afford ~88 localizations, but Startup tier (1.25M credits/month) recommended for production use"],"input_types":["voice ID","target language code","target accent/region code","text input in target language"],"output_types":["streaming audio in target language with localized accent","voice localization ID for future reference"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_5","uri":"capability://text.generation.language.text.infilling.and.partial.regeneration","name":"text infilling and partial regeneration","description":"Enables regeneration of specific portions of previously generated speech without re-synthesizing the entire utterance. Infilling works by accepting a partial text input and regenerating only the specified section, with a one-time 300-credit cost plus 1 credit per character of infill text. Useful for correcting errors, updating dynamic content, or adjusting specific phrases without full re-synthesis latency.","intents":["Correct errors in previously generated speech without full re-synthesis","Update dynamic content (e.g., names, numbers) in pre-generated speech templates","Optimize latency for voice agents by reusing pre-generated speech segments and only regenerating changed portions","Build interactive systems where users can edit specific phrases in generated speech"],"best_for":["Voice agent systems with dynamic content (e.g., personalized names, numbers, dates)","Interactive media platforms allowing user editing of generated speech","High-throughput systems optimizing for latency by reusing cached speech segments","Content creation tools where users need to tweak specific phrases without full re-generation"],"limitations":["Infilling mechanism not documented; unclear how system identifies which portion to regenerate","One-time 300-credit cost per infilling operation is substantial; cost-benefit unclear for small edits","No documented way to specify exact boundaries of infill region; likely requires character offsets or special markers","Infilled audio must seamlessly blend with existing audio; quality of blending not documented","Infilling only works with previously generated speech; cannot infill arbitrary audio"],"requires":["API key from Cartesia","Reference to previously generated speech (ID or cached audio)","Partial text input specifying infill content","300 credits for infilling operation + 1 credit per character of infill text","Minimum plan: Free tier (20K credits/month) can afford ~66 infilling operations, but Startup tier recommended for production"],"input_types":["reference to previous speech generation (ID or cached audio)","partial text input for infill region","infill region boundaries (character offsets or markers)"],"output_types":["streaming audio with infilled portion integrated","full regenerated speech or only infilled segment (unclear from docs)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_6","uri":"capability://text.generation.language.context.aware.acronym.and.initialism.pronunciation","name":"context-aware acronym and initialism pronunciation","description":"Automatically handles pronunciation of acronyms and initialisms by analyzing surrounding context to determine correct pronunciation (e.g., 'NASA' as word vs 'N-A-S-A' spelled out). The system infers pronunciation intent from context without requiring explicit markup, enabling natural speech synthesis for technical or specialized content containing frequent acronyms.","intents":["Generate speech for technical documentation or specialized content with frequent acronyms","Create voice agents for industries with heavy acronym usage (e.g., healthcare, finance, military)","Produce audiobooks or content with natural acronym pronunciation without manual markup","Build systems that automatically handle acronym pronunciation without user intervention"],"best_for":["Technical content creators and documentation teams","Voice agents for specialized domains (healthcare, finance, legal, military)","Audiobook production platforms with technical content","Automated content-to-speech systems requiring minimal manual intervention"],"limitations":["Context-aware pronunciation mechanism not documented; unclear how system determines correct pronunciation","No way to override automatic pronunciation for ambiguous acronyms","Pronunciation accuracy depends on surrounding context; may fail for acronyms in unusual contexts","No documented list of supported acronyms or pronunciation rules","Context-aware processing may add latency compared to simple character-by-character synthesis"],"requires":["API key from Cartesia","Text input with acronyms in natural context (no special markup required)","Sufficient credits (1 credit per character)"],"input_types":["text with acronyms and initialisms in natural context","optional context hints (domain, industry, or acronym definitions)"],"output_types":["streaming audio with context-appropriate acronym pronunciation","pronunciation metadata (if available)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_7","uri":"capability://text.generation.language.streaming.speech.to.text.transcription.with.dynamic.chunking","name":"streaming speech-to-text transcription with dynamic chunking","description":"Provides real-time speech-to-text transcription via Ink-Whisper model using streaming audio input with dynamic chunking strategy. Audio is processed in variable-length segments optimized for transcription accuracy and latency, enabling continuous transcription of live audio streams without buffering entire utterances. Priced at $0.13 per hour of audio transcribed, supporting multiple languages and handling telephony artifacts.","intents":["Build voice agents that transcribe user speech in real-time for processing","Create live transcription systems for meetings, calls, or broadcasts","Implement speech-to-text for telephony systems with automatic artifact handling","Develop conversational AI systems with low-latency speech understanding"],"best_for":["Voice agent developers building conversational systems with speech input","Meeting transcription and note-taking platforms","Telephony and call center systems requiring real-time transcription","Live event platforms (streaming, conferences) with transcription requirements"],"limitations":["Supported languages for Ink-Whisper not documented; unclear if all 42 TTS languages are supported","Dynamic chunking mechanism not specified; unclear how chunk boundaries are determined","Latency of Ink-Whisper not documented; only TTS latency metrics provided","Telephony artifact handling capabilities not detailed (e.g., which artifacts are handled)","No documented maximum audio duration per session or streaming timeout"],"requires":["API key from Cartesia","Streaming audio input (format not specified; likely PCM, WAV, or similar)","Sufficient credits; pricing: $0.13 per hour of audio","Network connection supporting streaming audio upload"],"input_types":["streaming audio chunks (format unknown)","audio sample rate (unknown)","language code (optional; auto-detection may be supported)"],"output_types":["streaming transcription text (partial and final)","confidence scores (if available)","language detection (if auto-detection enabled)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_8","uri":"capability://text.generation.language.multi.language.text.to.speech.synthesis.across.42.languages","name":"multi-language text-to-speech synthesis across 42 languages","description":"Supports text-to-speech synthesis across 42 languages with consistent voice quality and emotional control across all languages. Each language can be synthesized with the same voice (if voice cloning is used) or language-specific voices, enabling multilingual voice agent deployments with consistent brand identity. Language support includes major languages (English, Spanish, French, German, Mandarin, Hindi, etc.) and regional variants.","intents":["Build multilingual voice agents serving global customer bases","Create multilingual games or interactive media with consistent voice identity","Generate multilingual content (e.g., product announcements, customer service) with single voice","Develop localization pipelines that automatically synthesize content in multiple languages"],"best_for":["Global companies building multilingual voice agents","Game studios creating multilingual games with consistent voice talent","Content platforms serving international audiences","Localization service providers automating voice content generation"],"limitations":["Supported languages list not provided; only '42 languages' mentioned with Hindi as example","Language detection not documented; unclear if system auto-detects language or requires explicit specification","Quality consistency across languages not documented; some languages may have lower quality voices","Regional variants within languages not documented (e.g., Brazilian Portuguese vs European Portuguese)","Character encoding and special character handling not documented"],"requires":["API key from Cartesia","Text input in target language (UTF-8 encoded)","Language code specification (format unknown; likely ISO 639-1 or similar)","Sufficient credits (1 credit per character, regardless of language)"],"input_types":["text in target language (UTF-8 encoded)","language code (ISO 639-1 or similar)","voice selection (language-specific or cloned voice)","optional emotion and prosody parameters"],"output_types":["streaming audio in target language","language metadata (confirmed language, detected language if auto-detection used)"],"categories":["text-generation-language","audio-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__cap_9","uri":"capability://automation.workflow.concurrent.request.management.with.tier.based.rate.limiting","name":"concurrent request management with tier-based rate limiting","description":"Enforces concurrent TTS request limits based on subscription tier (Free: 2, Pro: 3, Startup: 5, Scale: 15, Enterprise: custom), preventing resource exhaustion and ensuring fair resource allocation across users. Concurrency limits are enforced at the API key level, with requests queued or rejected if limit is exceeded. This architecture enables predictable performance and cost control for multi-user deployments.","intents":["Manage API usage and costs by controlling concurrent request volume","Ensure predictable performance for voice agent deployments by limiting concurrent load","Scale voice agent infrastructure by upgrading to higher-tier plans with increased concurrency","Prevent accidental resource exhaustion from runaway client code"],"best_for":["Teams deploying voice agents with predictable concurrent user load","Cost-conscious developers wanting to control API spending through concurrency limits","Production systems requiring guaranteed performance characteristics","Multi-tenant platforms allocating resources fairly across customers"],"limitations":["Concurrency limit enforcement mechanism not documented; unclear if requests are queued or rejected","No documented way to monitor current concurrency usage or remaining capacity","Concurrency limits are per API key; no per-user or per-tenant limits within a single API key","No documented burst capacity or temporary concurrency increases","Upgrading plan tier may require API key rotation or account changes"],"requires":["API key from Cartesia","Subscription plan (Free, Pro, Startup, Scale, or Enterprise)","Client code respecting concurrency limits (manual queuing or SDK-level handling)"],"input_types":["concurrent TTS requests (number depends on plan tier)"],"output_types":["request acceptance/rejection status","queue position (if requests are queued)","concurrency usage metrics (if available)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"cartesia__headline","uri":"capability://voice.audio.real.time.multimodal.tts.and.stt.platform","name":"real-time multimodal tts and stt platform","description":"Cartesia is a real-time multimodal intelligence platform that provides low-latency text-to-speech and speech-to-text services, ideal for voice agents, gaming, and interactive media applications requiring instant speech generation.","intents":["best real-time TTS API","TTS for gaming applications","low-latency speech generation service","speech-to-text for interactive media","best API for voice agents"],"best_for":["voice agents","gaming","interactive media"],"limitations":[],"requires":[],"input_types":["text","audio"],"output_types":["audio stream","text"],"categories":["voice-audio"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["API key from Cartesia (obtain via cartesia.ai dashboard)","Network connection supporting WebSocket or HTTP streaming","Client capable of handling streaming audio chunks (browser Web Audio API, native audio library, or SDK)","Minimum plan: Free tier (2 concurrent requests, 20K credits/month) or higher","API key from Cartesia","Text input with embedded emotion tokens (format: '[emotion_name]')","Sufficient credits (1 credit per character of input text)","Subscription plan (Free, Pro, Startup, Scale, or Enterprise)","Sufficient credits for intended usage (1 credit per character for TTS)","Supported framework or platform (Pipecat, Rasa, LiveKit, Twilio, Tencent RTC, Thoughtly, Vision Agents)"],"failure_modes":["Maximum input length per request not documented; character-level pricing suggests potential cost scaling for very long texts","Streaming model requires persistent connection; not suitable for simple batch-and-forget use cases","Time-to-first-audio of 40-90ms assumes optimal network conditions; actual latency varies with client network and audio buffer size","No documented maximum concurrent streaming sessions per API key; concurrency limits enforced at tier level (2-15 concurrent TTS requests depending on plan)","Supported emotions not exhaustively documented; only '[excited]' and '[sad]' shown in examples","Emotion control mechanism (token-based vs parameter-based) not fully specified","No documented way to blend multiple emotions or control emotion intensity/strength","Emotion rendering quality depends on underlying voice model; some voices may express emotions more convincingly than others","Credits do not roll over between months; unused credits are forfeited","No documented way to purchase additional credits mid-month if tier limit is exceeded","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":0.75,"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":"2026-05-24T12:16:21.547Z","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=cartesia","compare_url":"https://unfragile.ai/compare?artifact=cartesia"}},"signature":"Q80QoQdWfBZ9KBvaIDjtrE0qUviine/QT0jSq+ZQHPogMTI7bGZRFRPB7NkI0J7qAbceyH4iDSjuOsy4LBuRCA==","signedAt":"2026-06-21T20:13:06.599Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/cartesia","artifact":"https://unfragile.ai/cartesia","verify":"https://unfragile.ai/api/v1/verify?slug=cartesia","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"}}