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AppsDataRobot ToolsDatarobot Create Deployments Custom Metrics
DataRobot Tools

Datarobot Create Deployments Custom Metrics

Create a deployment custom metric for monitoring deployment or model-specific metrics. Use for numeric metrics (average, gauge, sum) or categorical metrics to track custom KPIs beyond standard monitoring.

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Use Datarobot Create Deployments Custom Metrics

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Inputs

  • namestring
    Required
    Name of the custom metric
  • typestring
    Required
    Type and aggregation character of the metric. For numeric metrics use average, gauge, or sum. For categorical metrics use categorical.
  • unitsstring
    Units or Y-axis label for numeric custom metrics (e.g., 'requests', 'seconds', 'errors'). Required for numeric metrics.
  • valueobject
    Reference to a column in a columnar dataset.
  • timeStepstring
    Time bucket size for aggregating metric values. Currently only 'hour' is supported.
  • timestampobject
    Configuration for timestamp spoofing when reading values from datasets.
  • categoriesarray
    Category definitions for categorical custom metrics. Required for categorical metrics. Maximum 25 categories.
  • descriptionstring
    Optional description of the custom metric (max 1000 characters)
  • sampleCountobject
    Reference to a column in a columnar dataset.
  • deploymentIdstring
    Required
    Unique identifier of the deployment to add the custom metric to. Use LIST_DEPLOYMENTS to find available deployment IDs.
  • baselineValuesarray
    Baseline values for numeric custom metrics (average, gauge, sum). Required for numeric metrics. Maximum 5 values.
  • directionalitystring
    Directionality of a numeric custom metric.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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