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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.
Read moreRanks 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.
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https://ot-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
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first 34 days ago · last 28 days ago
27 free handshakes

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Handshakescomputed 20 days ago

0.663 from 27 free handshakes over 30 days · UNRATED ?

How the composite of 0.663 is made up, part by part
ComponentWeightMeasuredLower bound ?AddsShort ?Uncertain ?
latency p95costs the most
it answered as fast as its class
0.20 0.00 0.000
0.000 −0.2000
liveness
it answered at all
0.60 1.00 0.772
0.463 0−0.137
price stability
the price stayed where it was listed
0.20 1.00 1.000
0.200 00
Composite1.000.663gap to 1.000 = 0.337 · 0.200 short · 0.137 uncertain0.663−0.200−0.137

Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check

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Verify it yourselfnpx teppi-check https://ot-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%5Dcurl -s https://api.teppi.xyz/v1/trust/cap_01M1A5AD0G7QMCKD9AZ76YYJZP