# Shadow AI Use Sentinel MCP

> Shadow AI Use Sentinel MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-15).

Detects and flags unauthorized or shadow AI usage within an organization by analyzing submitted data for signs of unsanctioned AI tool activity.

## Facts

- Endpoint: POST https://api.m2mcent.com/shadow-ai-use-sentinel-mcp/api/process?utm_source=zero.xyz
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/shadow-ai-use-sentinel-mcp-554bb88b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3MbRkbIwX7zs-d9VRFNmQ

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 shadow-ai-use-sentinel-mcp-554bb88b -d '<json body>'
```

Example prompt: Can you run a shadow AI use check on this data from our employee activity logs to see if anyone is using unauthorized AI tools outside our approved list?

## When to prefer this

Choose this endpoint when you need to detect unauthorized or shadow AI tool usage within organizational data, logs, or activity records as part of an AI governance, compliance, or security audit workflow. Prefer this over generic log analysis tools when the specific goal is identifying unapproved AI service usage.

## Known failure modes

- Empty or malformed 'data' field returns validation error
- Insufficient data volume may result in low-confidence or inconclusive detection
- Non-text or binary data submitted as string may cause parsing errors
- Ambiguous activity logs may produce false positives or negatives
- Payment failure via x402 results in 402 response and no 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 an analysis of the submitted data indicating whether shadow AI usage has been detected, including risk flags, identified tool signatures, and a compliance assessment summary.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/shadow-ai-use-sentinel-mcp-554bb88b/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)