Anomaly Finder Client
VerifiedDetects anomalies automatically in time series data.
What is Anomaly Finder Client?
The Anomaly Finder Client provides automated anomaly detection for time series data through two modes: whole-series detection and last-point detection.
It enables business customers to discover incidents in their data and construct logic flows for root cause analysis.
Endpoints
2 operations exposed by this API (v2.0).
/timeseries/entire/detect— Find anomalies for the entire series in batch./timeseries/last/detect— Detect anomaly status of the latest point in time series.What you can build with Anomaly Finder Client
Infrastructure monitoring
Developers feed server CPU, memory, and network metrics into the API to automatically flag unusual spikes or drops that may indicate outages or attacks.
Financial fraud detection
Payment platforms send transaction volume time series to detect sudden deviations that could represent fraudulent activity in real time.
IoT predictive maintenance
Sensor data from industrial equipment is analyzed to spot anomalies that precede failures, allowing maintenance teams to intervene early.
Get started with Anomaly Finder Client
- 1Create an Azure account and provision an Anomaly Finder resource in the portal
- 2Copy the endpoint URL and API key from the resource overview
- 3Format your time series data as JSON arrays of timestamps and values
- 4POST the payload to either the entire-series or latest-point detection endpoint
- 5Parse the returned anomaly scores and boundaries in your application
Anomaly Finder Client: pros & cons
Pros
- +Offers both full-series and latest-point detection modes
- +Models are trained automatically on the provided data
- +Simple HTTPS JSON interface with Azure ecosystem integration
Cons
- –Requires an Azure subscription and associated costs
- –Only supports univariate time series
- –Authentication setup must be read from separate docs
Frequently asked questions
An Azure service that detects anomalies in time series data using models trained on the full series or preceding points.
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