Drop a trace file. Get decoded signals, timeline plots, and anomaly flags — automatically. The same engine that powers Wayne's incident analysis.
Apply DBCs in one click. Drop a CAN trace, blf, or ASC file; get every frame resolved into named signals, units, and engineering values. The decode is cached and addressable via the API.
Plot any combination of signals on the same timeline. Compare RPM, coolant temp, DPF pressure, and exhaust gas temp on one view — see correlations the raw frames hide.
Standard deviation, rolling-window outliers, and an ML model trained on fleet-wide trace history. Anomalies are flagged with confidence and a context window — not raised as bare alerts.
Every flagged anomaly becomes a context fragment Wayne can reason over. "What was happening at t = 11.4s on truck FT4-309?" gets a real answer, grounded in the actual decoded signals.