# Data Observability MCP

> Data Observability MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-10-13).

Processes data observability tasks via MCP protocol, monitoring data pipeline health, quality, and lineage

## Facts

- Endpoint: POST https://api.m2mcent.com/data-observability-mcp/api/process?utm_source=zero.xyz
- Price: $0.08/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-observability-mcp-e082e2a5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JGH5y1pbPowCwjkWBnGHg

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 data-observability-mcp-e082e2a5 -d '<json body>'
```

Example prompt: Can you run data observability checks on this dataset and tell me if there are any quality issues, anomalies, or freshness problems: '{"table":"orders","row_count":14200,"null_rate":0.03,"last_updated":"2024-01-15"}'?

## When to prefer this

Choose this endpoint when you need to run automated data observability checks on pipeline or dataset payloads, especially for detecting anomalies, validating quality, or monitoring freshness without building custom monitoring infrastructure.

## Known failure modes

- Malformed or empty data string returns validation error
- Unparseable data format results in processing failure
- Timeout if data payload is extremely large
- Insufficient data context may produce low-confidence results

## 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 observability analysis of the submitted data, including data quality metrics, detected anomalies, freshness assessments, completeness scores, and any flagged issues within the pipeline or dataset.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-observability-mcp-e082e2a5/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)