# M2MCent NLP Metadata Predictor MCP

> M2MCent NLP Metadata Predictor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.030691/call, status unknown (last checked 2026-10-10).

Runs an NLP metadata prediction job against a provided dataset and returns a boolean report result

## Facts

- Endpoint: POST https://api.m2mcent.com/nlp-metadata-predictor-mcp-543/api/execute?utm_source=zero.xyz
- Price: $0.030691/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-nlp-metadata-predictor-mcp-53cbc191
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SMpkbEKNcEN1qqEKqF28h

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 m2mcent-nlp-metadata-predictor-mcp-53cbc191 -d '<json body>'
```

Example prompt: Run an NLP metadata prediction on this dataset string and tell me whether the report comes back true or false: 'product reviews corpus Q1 2024'.

## When to prefer this

Choose this endpoint when you need a fast, low-cost boolean NLP metadata prediction verdict on a dataset string, particularly within an x402-enabled agentic pipeline on Base L2 that requires gasless USDC micropayments. It is best suited for lightweight classification or validation checks rather than deep semantic analysis.

## Known failure modes

- Missing 'dataset' field returns a validation error
- Empty string dataset may return false or an error
- Malformed JSON request body causes a 400-level error
- Network timeout on large dataset strings
- x402 payment failure prevents execution and returns 402

## 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 'report' field containing a boolean value — true or false — indicating the NLP metadata prediction outcome for the submitted dataset.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/m2mcent-nlp-metadata-predictor-mcp-53cbc191/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)
