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DeepVoice Guard MCP
x402
DeepVoice Guard MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-17).
Analyzes audio or voice data to detect deepfake or synthetically generated speech, providing authenticity verification and guard signals.
Price / call$0.05
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns a classification or detection result indicating whether the submitted voice/audio data is authentic or synthetically generated, likely including a confidence score or authenticity flag indicating deepfake probability.
Example use cases
Verify caller identity in fraud prevention
“I just received a suspicious phone call and saved the audio — can you run it through deepfake detection to tell me if the voice was AI-generated or real before I act on what the caller said?”
Screen user-submitted voice for authenticity
“A user just submitted a voice verification sample to our platform — can you analyze this audio data and flag it if it appears to be a synthesized or cloned voice rather than a genuine human recording?”
Audit podcast guest recording for manipulation
“We recorded an interview with a guest remotely and I want to make sure the audio wasn't spliced with AI-generated voice segments — please analyze this audio data and tell me if any deepfake synthesis is detected.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/deepvoice-guard-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify whether a voice recording is real or AI-generated, particularly in fraud prevention, identity verification, or content authenticity workflows. Prefer this over general audio analysis tools when the specific concern is deepfake or voice synthesis detection.
Side effects
- Malformed or empty 'data' string returns a validation error
- Non-audio data passed as string may produce unreliable results
- Very short audio clips may yield low-confidence or inconclusive results
- Unsupported audio encoding formats may cause processing failures
- Rate limiting or payment issues may result in 402 or 429 errors
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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