Project Anomaly Finder was an experimental lab that helped monitor data over time and detect anomalies with machine learning that adapted to unique data by automatically applying a statistical model regardless of industry, scenario, or data volume.
Project Anomaly Finder has now been graduated as part of the Azure Cognitive Service – Anomaly Detector in preview.
Through an API, the Anomaly Detector Preview ingests time-series data of all types and selects the best-fitting detection model for your data to ensure high accuracy. You can customize the service to detect any level of anomaly and deploy it wherever you need it most.
For more information, please visit Cognitive Services – Anomaly Detector