Tools
Anomaly Detector
Surfaces rows in a structured dataset that fall outside expected patterns, each with a reason.
Module
Tools
where it lives
What it does
Surfaces rows in a structured dataset that fall outside expected patterns, each with a reason
Accepts numeric or tabular content and returns the rows that fall outside expected patterns: spikes, drops, missing sequences, and statistical outliers. Each flagged row arrives with a plain-language reason drawn from the data. Works on time series, transaction logs, sensor readings, or any structured dataset with a baseline to compare against.
When you’d reach for it
- ▸Scanning a batch of technician timesheets for hours logged well outside the typical range for that job type.
- ▸Reviewing utility consumption readings across a portfolio of units to surface unusual spikes between billing cycles.
- ▸Running a feed of vendor invoices through outlier detection to catch duplicate amounts or line items that deviate from historical averages.
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