Verify every claim — before you sign up.

For saturation and exhaustion, Epok projects the breach from its live trajectory and pages with an ETA and confidence — while you can still act, not after it fires.

During an incident — for known failure shapes, matched from your runbooks and built-in playbooks — Epok recommends the fix that restores service first, and flags the guard that matters, like when a rollback won't recover it. We recommend; you execute.

Epok commits a verdict only at measured confidence — and when the evidence is thin, it says so and tells you what to check next instead of guessing confidently. Confidence is scored against real outcomes, not asserted.

Subscription tiers based on monthly volume across every signal. Never per-host, per-event, or per-unique-field — send anything without a cardinality tax.

Stream live logs and trace spans and search the last hour without waiting on a query.

Point any shipper at one URL — schemaless storage, no field mapping.

Operators acknowledge with comment + timeout; escalation pauses on ack and re-fires when the timeout expires. Unacked criticals re-page on a configurable cadence. Bulk-ack for burst incidents. Activity log per action.

Similar errors are collapsed into one alert using semantic similarity. Patterns that re-appear after going quiet don't re-page; they update the existing alert.

Logs, metrics, traces, infrastructure, RUM and replay correlated on one canvas: RCA · triggering chart · notification status · cascade timeline · causal graph · deep RCA · postmortem · architecture context — no tab-hopping.

Natural-language search compiles to a query through a 42-test safety validator, then executes.

Every AI claim is backed by a clickable link to the log line, span, metric, playbook step, or architecture fact that produced it. No invented evidence — every reference is validated before render.