- HTTP request
 - Path parameters
 - Request body
 - Response body
 - Authorization scopes
 - IAM Permissions
 - Examples
 
Evaluate an explicit slice from a loaded DataSet.
HTTP request
POST https://timeseriesinsights.googleapis.com/v1/{dataset=projects/*/locations/*/datasets/*}:evaluateSlice
The URL uses gRPC Transcoding syntax.
Path parameters
| Parameters | |
|---|---|
dataset | 
                
                   
 Required. Loaded DataSet to be queried in the format of "projects/{project}/locations/{location}/datasets/{dataset}"  | 
              
Request body
The request body contains data with the following structure:
| JSON representation | 
|---|
{ "pinnedDimensions": [ { object (  | 
                
| Fields | |
|---|---|
pinnedDimensions[] | 
                  
                     
 Required. Dimensions with pinned values that specify the slice for which we will fetch the time series.  | 
                
detectionTime | 
                  
                     
 Required. This is the point in time that we want to probe for anomalies. See documentation for  A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples:   | 
                
timeseriesParams | 
                  
                     
 Parameters controlling how we will build the time series used to predict the   | 
                
forecastParams | 
                  
                     
 Parameters that control the time series forecasting models, such as the sensitivity of the anomaly detection.  | 
                
omitTimeseries | 
                  
                     
 If true, the history timeseries will be omitted from the response.  | 
                
Response body
If successful, the response body contains an instance of EvaluatedSlice.
Authorization scopes
Requires the following OAuth scope:
https://www.googleapis.com/auth/cloud-platform
For more information, see the Authentication Overview.
IAM Permissions
Requires the following IAM permission on the dataset resource:
timeseriesinsights.datasets.evaluate
For more information, see the IAM documentation.