# Data Poisoning Detector MCP

> Data Poisoning Detector MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.22/call, status unknown (last checked 2026-09-15).

Analyzes input data to detect signs of data poisoning attacks or adversarial manipulation in datasets or model training inputs

## Facts

- Endpoint: POST https://api.m2mcent.com/data-poisoning-detector-mcp/api/process
- Price: $0.22/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-poisoning-detector-mcp-5268c38c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bDh6mSH2AcGdjSFij3rxJ

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-poisoning-detector-mcp-5268c38c -d '<json body>'
```

Example prompt: Can you scan this dataset for data poisoning or adversarial manipulation? Here's the data: 'label,feature1,feature2\n0,0.1,0.2\n1,99.9,0.1\n0,0.2,0.3'

## When to prefer this

Use this endpoint when you need to programmatically verify that a dataset or training corpus has not been tampered with through data poisoning techniques before using it in machine learning pipelines. Prefer this over manual inspection when dealing with untrusted third-party data sources, automated data pipelines, or when building AI safety and integrity guardrails into an agentic workflow.

## Known failure modes

- Empty or malformed data string returns validation error
- Extremely large data payloads may time out or be rejected
- Non-string or unsupported data formats may cause parsing failures
- Payment failure (402) if USDC balance is insufficient
- Ambiguous or benign anomalies may produce false positives

## 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 assessment of whether the submitted data contains signs of data poisoning, adversarial manipulation, label flipping, or backdoor injection, likely including a verdict, confidence level, and details about detected anomalies or suspicious patterns.

## 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/data-poisoning-detector-mcp-5268c38c/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)