# Oil Pipeline Leak Detection MCP

> Oil Pipeline Leak Detection MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.4/call, status unknown (last checked 2026-10-15).

Analyzes oil pipeline data to detect, assess, or report potential leak events using an MCP-compatible agentic endpoint.

## Facts

- Endpoint: POST https://api.m2mcent.com/oil-pipeline-leak-mcp/api/process?utm_source=zero.xyz
- Price: $0.4/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/oil-pipeline-leak-detection-mcp-3ab708ae
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PP5DwcwFPvqMwVWLKC2iy

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 oil-pipeline-leak-detection-mcp-3ab708ae -d '<json body>'
```

Example prompt: Can you analyze this pipeline sensor data for any signs of a leak or anomaly: 'pressure_drop=12.3psi, flow_rate=0.87, segment=A-14, timestamp=2024-06-10T08:32:00Z'?

## When to prefer this

Choose this endpoint when you need automated, AI-driven analysis of oil pipeline sensor or telemetry data specifically for leak detection. It is suited for agentic workflows where pipeline monitoring data is available as a string payload and a rapid integrity assessment is needed without standing up custom ML infrastructure.

## Known failure modes

- Malformed or missing 'data' field returns a validation error
- Unrecognized data format may result in an unparseable response
- Insufficient sensor data may yield inconclusive detection results
- Network timeout if processing takes longer than expected
- Payment failure (x402) if USDC balance is insufficient

## 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 result indicating whether a leak or anomaly was detected in the submitted pipeline data, likely including a status flag, confidence level, affected segment, and recommended action or severity level.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/oil-pipeline-leak-detection-mcp-3ab708ae/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)