What is Project Anomaly Finder
The Anomaly Finder API helps you to monitor data over time and detect anomalies with machine learning that adapts to your unique data by automatically applying a statistical model regardless of industry, scenario, or data volume. Using a time series as input, the API returns whether or not a data point is detected as an anomaly, determines the expected value, and measures deviation. As a prebuilt AI service, Project Anomaly Finder doesn't require any machine learning expertise beyond understanding how to use a RESTful API. This makes development simple and versatile since it works with any time series data and can also be built into streaming data systems. Currently an experimental Lab, we hope that in the future Project Anomaly Finder will be useful in a broad range of use cases – for instance, financial tools for managing fraud, theft, changing markets, and potential business incidents, or monitoring IoT device traffic while preserving anonymity. This solution can also be monetized as part of a service for end-customers to understand changes in data, spending, return on investment, or user activity. Try out the Project Anomaly Finder API and gain deeper understanding of your data. See the selected sample charts below on what you can build with the API.