# LegalTech Fraud Detection Predictor

> LegalTech Fraud Detection Predictor is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.807719/call, status unknown (last checked 2026-10-13).

Analyzes a dataset string and returns a boolean fraud detection score for legal-tech applications

## Facts

- Endpoint: POST https://api.m2mcent.com/legaltech-fraud-detection-predictor-mcp-353/api/execute?utm_source=zero.xyz
- Price: $0.807719/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/legaltech-fraud-detection-predictor-411dab76
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PmRajPh0xrfDqkoEhQme4

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 legaltech-fraud-detection-predictor-411dab76 -d '<json body>'
```

Example prompt: Run fraud detection on this legal dataset and tell me whether it's flagged as fraudulent: '<serialized case record or transaction data here>'.

## When to prefer this

Use this endpoint when you need a fast, binary fraud classification on a legal-tech dataset and want to pay per-call via USDC on Base L2 without managing a subscription. Best suited for automated compliance pipelines that need a lightweight boolean signal rather than a detailed fraud report.

## Known failure modes

- Missing 'dataset' field returns a 400 validation error
- Malformed or non-string dataset value may cause processing failure
- Payment failure via x402 protocol results in 402 response before execution
- Service unavailability on the MCP node returns 5xx error
- Empty dataset string may return false negatives or 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 JSON object with a single boolean 'score' field: true indicates the dataset is flagged as fraudulent, false indicates it is not.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "dataset"
 ],
 "properties": {
  "dataset": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "score"
 ],
 "properties": {
  "score": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/legaltech-fraud-detection-predictor-411dab76/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)