TODO_TAGS_REVIEW

Time-Series Anomaly Detector

Rolling-window z-score and STL-style seasonal decomposition anomaly detection on synthetic payment volume time series. Control chart (UCL/LCL 3σ), trend/seasonal/residual panel decomposition, anomaly flag table with severity, naïve ARIMA-lite 30-period forecast. Chains from SIM-03 (Basel RWA Scenario Modeler). Feeds RCA-01 (FRTB IMA). DORA Art.17 monitoring / EBA GL/2021/03 operational risk / PSD2 Art.96 fraud reporting.

Tool URL: https://ainumbers.co/chaingraph/ml-03-timeseries-anomaly-detector.html AP2/Policy Mandate export: yes

post/v1/tools/detect_timeseries_anomalies

Request

  • Base URL: https://ainumbers.co
  • URL: https://ainumbers.co/v1/tools/detect_timeseries_anomalies
  • Auth: none declared

Request body

nAnomaliesnumber required
nPeriodsnumber required
seasonPeriodnumber required
seednumber required
trendTypeunknown required
windowSizenumber required
zThresholdnumber required

Response

Successful tool execution result

anomalies_flaggedinteger
flag_ratenumber
high_severity_flagsinteger
max_abs_z_scorenumber
medium_severity_flagsinteger
n_periodsinteger
verdictstring

Changes

No recorded changes to this operation across all 1 revision of this API.