# Model Hallucination Probability Oracle MCP

> Model Hallucination Probability Oracle MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-10-12).

Estimates the probability that a given model output contains hallucinations or fabricated information

## Facts

- Endpoint: POST https://api.m2mcent.com/model-hallucination-probability-oracle-mcp/api/process?utm_source=zero.xyz
- Price: $0.08/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/model-hallucination-probability-oracle-mcp-6a9346fc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gzEBeQdDl1wytLJl7sCaL

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 model-hallucination-probability-oracle-mcp-6a9346fc -d '<json body>'
```

Example prompt: Can you check this AI-generated answer for hallucination risk and tell me the probability that it contains fabricated information: 'The Eiffel Tower was built in 1802 by Napoleon Bonaparte as a monument to the French Revolution.'

## When to prefer this

Use this endpoint when you need a quick, automated signal on whether AI-generated text is likely to contain hallucinations before surfacing it to users or downstream systems. Prefer it over manual review when operating at scale in LLM pipelines, content moderation workflows, or RAG validation layers where factual reliability is critical.

## Known failure modes

- Empty or missing 'data' field returns an error
- Extremely long inputs may be truncated or rejected
- Non-English or low-resource language text may yield lower accuracy scores
- Ambiguous or highly technical content may produce uncertain probability estimates
- Network timeout on slow upstream inference

## 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 hallucination probability score indicating the likelihood that the submitted text contains fabricated, incorrect, or unsupported claims generated by an AI model, enabling downstream filtering or flagging decisions.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/model-hallucination-probability-oracle-mcp-6a9346fc/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)