# AI Safety Sentiment Aggregator MCP

> AI Safety Sentiment Aggregator MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.677212/call, status unknown (last checked 2026-10-22).

Analyzes an image and returns a boolean safety/sentiment report indicating whether the content passes AI safety checks

## Facts

- Endpoint: POST https://api.m2mcent.com/ai-safety-sentiment-aggregator-mcp-772/api/execute?utm_source=zero.xyz
- Price: $0.677212/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ai-safety-sentiment-aggregator-mcp-e4f1254c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_eVYc0cH0PASxBrsppeaWB

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 ai-safety-sentiment-aggregator-mcp-e4f1254c -d '<json body>'
```

Example prompt: Can you check whether this image passes AI safety screening — just give me a pass or fail?

## When to prefer this

Choose this endpoint when you need a fast, low-cost boolean safety verdict on an image and do not require detailed classification labels or confidence scores. Best suited for automated pipelines that need a simple pass/fail gate before publishing or storing images, and when paying per-call via x402 USDC is acceptable.

## Known failure modes

- Missing or invalid image input returns a 400 error
- Image format unsupported may result in processing failure
- Payment failure via x402 protocol results in 402 response blocking execution
- Ambiguous or low-resolution images may produce unreliable boolean outputs
- Service unavailability returns 5xx 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 'report' boolean field — true indicates the image passes the safety/sentiment check, false indicates it does not.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "image"
 ],
 "properties": {
  "image": {
   "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/ai-safety-sentiment-aggregator-mcp-e4f1254c/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)
