# Algorithmic Bias Scrubber MCP

> Algorithmic Bias Scrubber MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-16).

Analyzes and scrubs algorithmic bias from text or data inputs, returning a cleaned or bias-assessed version of the submitted content.

## Facts

- Endpoint: POST https://api.m2mcent.com/algorithmic-bias-scrubber-mcp/api/process?utm_source=zero.xyz
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/algorithmic-bias-scrubber-mcp-b0a634c3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kmu9yggx3PtMAZJcKmb5f

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 algorithmic-bias-scrubber-mcp-b0a634c3 -d '<json body>'
```

Example prompt: Can you run this AI-generated hiring recommendation through the algorithmic bias scrubber and give me back a cleaned, bias-free version? Here's the text: 'Candidates from top-tier universities with traditional backgrounds are strongly preferred.'

## When to prefer this

Choose this endpoint when you need automated detection and removal of algorithmic or language bias from text, model outputs, or decision strings — particularly in AI fairness, hiring, lending, or content moderation workflows. Prefer it over general-purpose LLM prompts for bias review when you need a consistent, payable, auditable pipeline step for bias scrubbing.

## Known failure modes

- Empty or missing 'data' field returns a validation error
- Excessively long input strings may be truncated or rejected
- Ambiguous or highly domain-specific text may produce incomplete bias detection
- Service unavailability returns HTTP 402 or 5xx if payment or upstream fails
- Non-string inputs in the data field may cause parsing errors

## 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 processed version of the submitted text or data with algorithmic bias detected, flagged, or removed. The response likely includes the scrubbed/cleaned output string and potentially annotations or explanations of identified biases.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/algorithmic-bias-scrubber-mcp-b0a634c3/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)