# Deepfake Sentinel MCP

> Deepfake Sentinel MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-16).

Detects and flags deepfake content in submitted media or data using AI-based analysis

## Facts

- Endpoint: POST https://api.m2mcent.com/deepfake-sentinel-mcp/api/process?utm_source=zero.xyz
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/deepfake-sentinel-mcp-af4d86ad
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hjFRRs0vxYk2wip7fvDeM

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 deepfake-sentinel-mcp-af4d86ad -d '<json body>'
```

Example prompt: Can you check whether this image is a deepfake or real — here's the base64-encoded data: [data]? I need a verdict and confidence score before sharing it publicly.

## When to prefer this

Choose this endpoint when you need to verify whether a specific piece of media (image, video, or audio) has been synthetically generated or manipulated, particularly in contexts requiring automated, per-call deepfake screening integrated into an agentic workflow. Best for pipelines that need a fast, pay-per-use verdict without maintaining your own model infrastructure.

## Known failure modes

- Invalid or malformed base64 data returns a 400 error
- Unsupported media format may result in processing failure
- Very large payloads may timeout or be rejected
- Ambiguous or low-resolution input may yield low-confidence results
- Network or payment authorization failure returns 402 or 5xx

## 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 an authenticity verdict indicating whether the submitted content is a deepfake or genuine, along with a confidence score and potentially specific indicators of manipulation such as face-swap artifacts, GAN fingerprints, or inconsistency signals.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/deepfake-sentinel-mcp-af4d86ad/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)