Endpoint · inferenceGETot-intel-api.onrender.com /ot/xai/root-cause-localization ?top_k=5&window=%5B%7B%22sensor_id%22%3A%22LIT_301%22%2C%22values%22%3A%5B3.1%2C3.0%2C3.2%2C8.9%5D%7D%5D
Ranks which sensors most likely drove a reported anomaly by z-score deviation from each sensor baseline, given a caller-supplied telemetry window.
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Ranks which sensors most likely drove a reported anomaly by z-score deviation from each sensor baseline, given a caller-supplied telemetry window. Pass window=<JSON array, max 20>: [{sensor_id, values[], baseline_mean?, baseline_stddev?}], optional top_k (default 5), anomaly_event_id. Fully deterministic, no LLM, no trained model. Statistical approximation inspired by Oswal et al. 2025 kernel-SHAP/TCAE work — not a reimplementation of it.Overview
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