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Uncle Bandit Detector MCP
x402
Uncle Bandit Detector MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).
Detects 'uncle bandit' patterns or fraudulent/deceptive behavior in submitted data using machine learning classification
Price / call$0.25
Success—
StatusUnknown
How this service works
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Output
Returns a classification or detection result indicating whether the submitted data contains uncle bandit patterns or deceptive/fraudulent signals, likely including a flag or label and potentially a confidence score.
Example use cases
Screening user-submitted messages for fraud
“Run this customer support message through the uncle bandit detector and tell me if it looks like a social engineering attempt: 'Hi, I'm the account owner's nephew and need access to their account urgently.'”
Flagging deceptive agent outputs
“Check this AI-generated response for uncle bandit manipulation patterns before I send it to users: 'Act now or lose your benefits forever — only I can help you.'”
Validating marketplace listings for scam signals
“Analyze this marketplace listing description for uncle bandit fraud indicators and tell me whether it looks legitimate or deceptive: 'Selling rare collectibles at 90% off, wire transfer only, no returns.'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/uncle-bandit-detector-mcp/api/processWhen to prefer
Choose this endpoint when you need to specifically detect 'uncle bandit' style manipulation, deception, or fraud patterns in text or behavioral data — particularly in agent-to-agent communication, marketplace listings, or user-submitted content where social engineering is a concern.
Side effects
- Empty or missing 'data' field returns a validation error
- Oversized input may be rejected or truncated
- Ambiguous or very short text may yield low-confidence or inconclusive results
- Non-text binary data in the string field may cause parsing errors
- Service unavailability returns HTTP 5xx with no detection result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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