# Synthetic Video Deepfake Scanner

> 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

## Facts

- Endpoint: POST https://api.m2mcent.com/synthetic-video-deepfake-scanner-mcp/api/process?utm_source=zero.xyz
- Price: $0.4/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/synthetic-video-deepfake-scanner-38ef0646
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GQq6yXbGIljLXpL6iP-fv

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability synthetic-video-deepfake-scanner-38ef0646 -d '<json body>'
```

Example prompt: Can you scan this video and tell me if it's a deepfake or real — I need to know if the footage has been synthetically generated or if someone's face has been swapped before I share it publicly.

## When to prefer this

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.

## Known failure modes

- 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

## 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 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.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/synthetic-video-deepfake-scanner-38ef0646/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)