Anomaly Autopsy is the only FinOps engine that goes all the way — from "your bill went up" to "here's the GitHub PR that would have prevented it." Causal, not correlational. Actionable, not "interesting."
Statistical change-point detection on every cost stream — cloud, LLM, SaaS — every 60 seconds. False-positive rate is held below 0.5%.
Causal inference finds the offending commit, query, model swap, or config drift. No more "the bill went up, idk why."
Writes the exact code change that would have prevented the spike — usually a 1–8 line diff against the offending file in your repo.
Opens a GitHub PR with the diff, posts a Slack receipt, and tags the engineer who owns the file. Auto-revert ready if the fix regresses.
Cause: Retry-on-error loop in agent.py:142 was hitting `gpt-4o` without backoff.
Fix: Added exponential backoff + max-retry=3. PR #4421.
Cause: PR #3982 bumped `db.t3.large` → `db.r6i.xlarge` for a test, never reverted.
Fix: Suggested rightsize back to `db.t3.large`. PR #4438 (approved by team lead).
Cause: Dashboard auto-refresh kept the `ANALYTICS_LG` warehouse warm Fri night → Mon morning.
Fix: Set auto-suspend = 60s on idle. Allocated cost to "dashboards" tag.
CloudHealth tells you the bill went up. Datadog shows you a latency chart. Kubecost gives you a Pareto by namespace. None of them write the fix.CARTIE does — because writing the fix is the only thing that actually saves money.
< 11s
Spike → PR
92%
Auto-fix accepted by engineer
0.4%
False-positive rate
14-day free trial · no credit card · connect AWS / Azure / GCP read-only · we'll show you 3 spikes from your last 30 days, with PRs ready to merge.
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