Netzhandwerker Anomaly Detection (Multi-Method Time Series)

API ↗

Netzhandwerker Anomaly Detection (Multi-Method Time Series) is a paid API for AI agents from tools.halowerk.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-12).

Runs up to three anomaly detectors (robust z-score, STL residual, isolation forest) over a numeric series and returns per-point scores so callers can apply their own thresholds.

How this service works

Runs three detectors over one series and reports what each saw: a robust z score on median and median absolute deviation, a robust seasonal-trend decomposition with a z score on the residual, and an isolation forest over value and step-to-previous. Every score is returned per point, so callers set their own threshold instead of trusting a verdict. The forest draws from a fixed seed: same request, same result. Under three full cycles the seasonal figure is marked as not robust.

Output

A per-point response containing scores from each requested detector: the absolute robust z-score, the STL residual z-score (marked as not robust if fewer than three full seasonal cycles are present), and the isolation forest anomaly score — plus an aggregated flag indicating whether enough detectors agreed based on min_votes. Raw scores are always returned so callers can apply custom thresholds independently of the built-in verdict.