A pull request review that costs $26 isn't a billing problem, it's a signal that something in the agent logic is broken. Without transaction-level visibility, that failure runs silently until it shows up aggregated in a monthly cost report with no actionable detail attached.
This video shows how Revenium’s Traces view catches these failures early, before they compound. We use our own SDLC as the example with real data from a real workflow, not a synthetic demo. Filter transactions by percentile anomaly (P99, P95, P75) to surface outliers in cost, latency, or agent turn count. Drill into any transaction for full attribution and the individual LLM calls that composed the total cost. The same filters surface high agent turn counts in multi-agent systems, a reliable indicator of loops between agents that are easy to miss in logs and expensive to leave running.
Beyond the UI: every transaction is API-addressable. The pattern our production customers use is feeding P99 transactions directly into their own AI for automated root cause analysis, closing the feedback loop without manual review.
