Method: projects.datasets.evaluateSlice

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Evaluate an explicit slice from a loaded DataSet.

HTTP request


The URL uses gRPC Transcoding syntax.

Path parameters



Required. Loaded DataSet to be queried in the format of "projects/{project}/datasets/{dataset}"

Request body

The request body contains data with the following structure:

JSON representation
  "pinnedDimensions": [
      object (PinnedDimension)
  "detectionTime": string,
  "timeseriesParams": {
    object (TimeseriesParams)
  "forecastParams": {
    object (ForecastParams)

object (PinnedDimension)

Required. Dimensions with pinned values that specify the slice for which we will fetch the time series.


string (Timestamp format)

Required. This is the point in time that we want to probe for anomalies.

See documentation for QueryDataSetRequest.detectionTime.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".


object (TimeseriesParams)

Parameters controlling how we will build the time series used to predict the detectionTime value for this slice.


object (ForecastParams)

Parameters that control the time series forecasting models, such as the sensitivity of the anomaly detection.

Response body

If successful, the response body contains an instance of EvaluatedSlice.

Authorization Scopes

Requires the following OAuth scope:


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.