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Synthetic Video Deepfake Scanner
x402
Synthetic Video Deepfake Scanner is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.4/call, status unknown (last checked 2026-10-18).
Analyzes video content to detect synthetic or deepfake manipulation using AI-based forensic techniques
Price / call$0.4
Success—
StatusUnknown
How this service works
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Output
Returns a structured result indicating whether the submitted video is detected as synthetic or deepfake content, including an authenticity assessment, confidence score, and potentially specific manipulation indicators such as face-swap detection or AI-generation flags.
Example use cases
Verify viral video before sharing
“I found this video going viral online and want to make sure it's real before I repost it — can you run it through the deepfake scanner and tell me if it's authentic or AI-generated?”
Screen user-submitted video content
“We're receiving user-uploaded videos on our platform and need to check this one for deepfake manipulation before approving it for publication — can you analyze it?”
Detect face-swap in interview footage
“Someone sent me what looks like an interview video of a public figure, but it feels off — can you scan it to see if the face has been swapped or the video is synthetically generated?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/synthetic-video-deepfake-scanner-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify whether a video is authentic or synthetically generated/deepfaked, especially in content moderation, journalism fact-checking, or trust-and-safety workflows. Prefer this over general image analysis tools when the target is specifically video-format deepfake or face-manipulation detection.
Side effects
- Invalid or unreadable video data returns an error
- Unsupported video format may result in processing failure
- Very short or low-resolution clips may produce low-confidence results
- Network timeout for large video payloads
- Ambiguous results for lightly-manipulated content near detection thresholds
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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