Anomaly Detection Sentinel MCP

x402

Anomaly Detection Sentinel MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-12).

Analyzes input data to detect anomalies, outliers, or unexpected patterns using a sentinel-style monitoring approach

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a structured result indicating whether anomalies were detected in the submitted data, along with flagged data points, anomaly scores or indicators, and contextual details about the nature of the detected irregularities.

Example use cases

IoT sensor spike detection

“I've got a stream of temperature readings from my factory floor sensors — can you run anomaly detection on this data and tell me if any readings look abnormal? Data: '72.1,71.8,72.3,71.9,142.5,72.0,71.7'”

Financial transaction fraud flagging

“Please analyze these transaction amounts and flag anything that looks like an outlier or potential fraud: '120.50, 98.30, 115.20, 4500.00, 103.80, 99.10'”

Application log error pattern detection

“Here are my application log error counts per hour over the last 24 hours — can you detect any anomalies that might indicate an incident? Data: '5,4,6,5,3,5,4,87,6,5,4,3'”

Technical details

Endpoint

POSThttps://api.m2mcent.com/anomaly-detection-sentinel-mcp/api/process?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a fast, pay-per-call anomaly detection service for string-encoded data, particularly in agentic workflows where you want to programmatically flag outliers without setting up dedicated ML infrastructure. Best suited for one-off or low-frequency anomaly checks rather than continuous high-volume streaming.

Side effects

Empty or malformed data string returns an error response
Non-numeric or unparseable data may fail detection
Extremely small datasets may yield unreliable anomaly scores
Service unavailability may return HTTP 402 or 5xx errors
Payment failure via x402 protocol results in request rejection

Output

Schema · Response

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

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