# Spam Intent Classifier MCP

> Spam Intent Classifier MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-16).

Classifies whether a given text input carries spam intent, returning a classification result with confidence signals.

## Facts

- Endpoint: POST https://api.m2mcent.com/spam-intent-classifier-mcp/api/process?utm_source=zero.xyz
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/spam-intent-classifier-mcp-a3cf70d6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IiQCrgPrWw0tgLKKrOYUr

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 spam-intent-classifier-mcp-a3cf70d6 -d '<json body>'
```

Example prompt: Can you check if this message is spam: 'Congratulations! You've been selected to claim your free iPhone — click here now to redeem your prize before it expires!'?

## When to prefer this

Use this endpoint when you need a dedicated, pay-per-call spam intent classifier without managing your own ML infrastructure. Prefer it over general-purpose LLM prompting for spam detection when you want a consistent, specialized signal, especially in automated pipelines processing user-generated content, form submissions, or incoming messages at scale.

## Known failure modes

- Empty or missing 'data' field returns a validation error
- Extremely short or ambiguous inputs may yield low-confidence classifications
- Non-English text may reduce classification accuracy if the model is English-optimized
- Very long inputs may be truncated or rejected
- Rate limiting or payment failure (x402) if USDC balance is insufficient

## 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 classification indicating whether the submitted text is spam or not spam, typically including a label and a confidence score reflecting how strongly the model believes the input carries spam intent.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/spam-intent-classifier-mcp-a3cf70d6/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)