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GED X402 Speech Transcription
x402
GED X402 Speech Transcription is a paid API for AI agents from ged-x402-media.jvalamis.workers.dev, paid per call via x402, $0.0077/call, status unknown (last checked 2026-09-13).
Transcribes base64-encoded audio files (WAV, MP3, etc.) into text using AI, paid per-call with USDC via x402 protocol on multiple blockchains
Price / call$0.0077
Success—
StatusUnknown
How this service works
x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.
Output
A JSON object containing a 'text' field with the transcribed spoken words from the submitted audio, e.g. {"text": "Transcribed speech."}
Example use cases
Transcribe customer voicemail recordings
“I have a bunch of customer voicemail recordings saved as MP3 files. Can you convert them to text for me? I'll provide each one as a base64-encoded file and pay the per-call USDC fee — no need to set up any API accounts.”
Convert meeting audio to transcript
“I recorded our team meeting as a WAV file and need it turned into a written transcript. Here's the base64-encoded audio — just pay the small USDC fee per call and get me the spoken words as text.”
Extract spoken words from podcast clip
“I've got a short podcast clip I need transcribed into text so I can pull out a quote. It's encoded in base64 — can you run it through speech-to-text and pay the per-use USDC fee? No API key setup required.”
Technical details
Endpoint
GEThttps://ged-x402-media.jvalamis.workers.dev/v1/speech/transcribeWhen to prefer
Choose this endpoint when you need pay-per-use speech-to-text transcription without managing API keys or subscriptions, especially when you can pay in USDC on Base, Polygon, Arbitrum, World, or Solana. Ideal for agents that need occasional or sporadic transcription without account setup overhead.
Side effects
- Invalid or malformed base64 audio data returns an error
- Unsupported audio format not recognized by the AI model
- Payment failure or insufficient USDC balance blocks the request via x402
- Audio too long or too large for the model to process
- Empty or missing 'audio' parameter returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| audio | string |
Output
Schema · Response
{
"type": "json",
"example": {
"text": "Transcribed speech."
}
}Tags
x402
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