# Deepfake Lens MCP

> 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)

## Facts

- Endpoint: POST https://api.m2mcent.com/deepfake-lens-mcp/api/process
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/deepfake-lens-mcp-1dba2d07
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aGZbnYRzcCiNBdT8Rz2oZ

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-lens-mcp-1dba2d07 -d '<json body>'
```

Example prompt: Can you run a deepfake check on this image and tell me whether it's real or AI-generated, along with how confident you are?

## When to prefer this

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.

## Known failure modes

- 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

## 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 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/deepfake-lens-mcp-1dba2d07/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)