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Cluster Protocol Audio Transcription
x402
Cluster Protocol Audio Transcription is a paid API for AI agents from api.clusterprotocol.ai, paid per call via x402, $0.006/call, status unknown (last checked 2026-11-03).
Transcribes an uploaded audio file into text using a specified model such as Whisper Large v3
Price / call$0.006
Success—
StatusUnknown
How this service works
Liberation Engine for Internet Capital Market
Output
A JSON object containing a 'text' field with the full transcription of the audio file as a plain string.
Example use cases
Meeting recording transcription
“I have an audio recording of our team meeting — can you transcribe it to text using whisper-large-v3 so I can share the notes with everyone?”
Multilingual podcast to text
“Transcribe this Spanish-language podcast audio file using whisper-large-v3 with language set to 'es' so I can read the content.”
Interview transcription for journalism
“I've got a voice interview recorded as an audio file — please transcribe it to text using the Whisper large v3 model so I can write my article.”
Technical details
Endpoint
POSThttps://api.clusterprotocol.ai/v1/audio/transcriptions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need reliable speech-to-text transcription powered by Whisper large v3, especially within a crypto-native or x402 payment workflow. It is ideal for agents that need to pay per call in USDC without managing subscription keys, or when integrating transcription into an automated pipeline on the Cluster Protocol network.
Side effects
- Unsupported audio format returns an error
- Audio file too large may result in timeout or rejection
- Invalid or unsupported model name causes a bad request error
- Missing required 'file' or 'model' fields returns a validation error
- Incorrect language code may result in degraded transcription quality
- Payment failure (x402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | — |
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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