The Time Series Outliers

The Time Series Outliers (Past) are described in the Forecast tab of your report.

The default view (table) displays details about the outliers on the time series and the predictive forecasts. An actual time series value is qualified as outlier once its corresponding forecasting error is considered to be abnormal relative to the forecasting error mean observed on the estimation data source. The forecasting error indicator is the absolute difference between the actual and predicted values. This is also called the residue. The residue abnormal threshold is set to 3 times the standard deviation of the residue values on an estimation (or validation) data source.

Note
If you choose to get predictive forecasts per entity, you have this information for each entity.