Verified by Fetch Hive
For analysts, product managers, and operators who need to triage surprising movements in dated counts or rates. Paste a time series and metric context; the agent uses Python to compare observations with weekday-aware baselines, quantify and rank anomalies, and return clearly labeled hypotheses and practical checks rather than asserting a root cause.
How it works
Paste dated counts or rates with metric context. The agent uses code to compare observations against earlier matching weekdays, quantify unusual movements, and return a ranked triage table with tentative explanations and checks to run.
Good for
Analysts, product managers, and operators investigating metric swings.
What runs, step by step

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