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Deepfake Lens MCP
x402
Deepfake Lens MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Analyzes media content to detect whether it has been synthetically generated or manipulated (deepfake detection)
Price / call$0.05
Success—
StatusUnknown
How this service works
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Output
Returns a detection verdict indicating whether the submitted media content is synthetic, manipulated, or authentic, typically including a confidence score and potentially specific manipulation indicators or region-level flags.
Example use cases
Verify viral social media photo
“This photo is going viral and people are claiming it's real — can you run a deepfake detection on it and tell me the likelihood it's been AI-generated or manipulated?”
Screen job applicant headshot
“I received this headshot from a remote job applicant and I want to make sure it's a real photo of a real person — can you check if it's a deepfake?”
Authenticate video evidence
“We have a video clip that's being submitted as evidence in a dispute — can you analyze it for signs of synthetic generation or manipulation so I know if it's authentic?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/deepfake-lens-mcp/api/processWhen to prefer
Choose this endpoint when you need programmatic, per-call deepfake or AI-generated media detection integrated into an agentic workflow, especially when you require pay-per-use pricing without a subscription commitment. Best suited for spot-checking individual media items at $0.05 per call rather than bulk batch processing pipelines.
Side effects
- Unsupported media format or encoding causing processing failure
- Input data string is empty or malformed, returning a validation error
- Media file too large or too long for processing within latency constraints
- Ambiguous or low-confidence result for borderline synthetic content
- Network or service timeout for slow upstream processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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