Foundational Time Series Model Multi Series Anomaly Detector (Beta)

Based on the provided data, this endpoint detects the anomalies in the historical perdiod of multiple time series at once. It takes a JSON as an input containing information like the series frequency and historical data. (See below for a full description of the parameters.) The response contains a flag indicating if the date has a anomaly and also provides the prediction interval used to define if an observation is an anomaly.Get your token for private beta at https://dashboard.nixtla.io.