Sample Report · Granular tier · Real audit run, not a mockup
80% of downtime from 6.5% of incidents — and a 7% chance of a 6h+ outage
The full-depth OpsLab audit on the same anonymized bank incident dataset (2022 — 802 incidents, 343 days), with the deeper statistical modules unlocked. Every number is computed by OpsLab's deterministic engine, then independently red-teamed by a second AI model — never guessed.
- Pareto concentration: Gini = 0.896 — same headline as Base, now paired with the risk modelling below.
- Heavy-tail outage risk (extreme value theory): ξ = 1.098 (heavy-tailed) — a 7.1% chance that any given incident runs past 6 hours, and 25.9% past 1 hour. This is the kind of tail risk averages hide.
- Independent verification: a second AI model checks the first model's narrative against the raw statistics before anything reaches the report — disagreements get flagged, not smoothed over.
Curious what the lighter tier looks like? See the Base sample report →