# Model Explainability Auditor MCP

> Model Explainability Auditor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-09-15).

Audits and explains AI/ML model decisions, providing interpretability analysis and explainability reports for model outputs.

## Facts

- Endpoint: POST https://api.m2mcent.com/model-explainability-auditor-mcp/api/process
- Price: $0.3/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/model-explainability-auditor-mcp-d1e14f74
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aZCrieYVkoFpzPSPFYfQR

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 model-explainability-auditor-mcp-d1e14f74 -d '<json body>'
```

Example prompt: Can you run an explainability audit on this model output data and tell me why the model made these decisions, including which features were most important?

## When to prefer this

Choose this endpoint when you need to audit, explain, or interpret AI/ML model decisions for purposes such as regulatory compliance, bias investigation, stakeholder transparency, or debugging unexpected predictions. It is particularly suited for agentic workflows requiring model governance or responsible AI checks.

## Known failure modes

- Invalid or malformed data string returns a parsing or validation error
- Empty data input may return an empty or null analysis
- Opaque model data with insufficient feature information may yield low-confidence explanations
- Unsupported model formats or data structures may result in processing failure
- Timeout for very large or complex model datasets

## 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

An explainability audit report detailing model decision rationale, feature importance rankings, interpretability metrics, and findings about how the model arrived at its outputs, suitable for compliance, debugging, or transparency review.

## 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/model-explainability-auditor-mcp-d1e14f74/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)