DataRobot

DataRobot Insights API

Use the endpoints described below to generate and interpret insights for specific models.

GitHub OpenAPI

Operations 146

DELETE /api/v2/dataSlices/ Data slices bulk deletion #
POST /api/v2/dataSlices/ Request #
DELETE /api/v2/dataSlices/{dataSliceId}/ Delete a data slice by data slice ID #
GET /api/v2/dataSlices/{dataSliceId}/ Retrieve a Data Slice by data slice ID #
GET /api/v2/dataSlices/{dataSliceId}/sliceSizes/ Returns the number of rows available after applying a data slice by data slice… #
POST /api/v2/dataSlices/{dataSliceId}/sliceSizes/ Compute the number of rows available after applying a data slice by data slice… #
POST /api/v2/insights/confusionMatrix/ Request calculation of Confusion Matrix chart #
GET /api/v2/insights/confusionMatrix/models/{entityId}/ The list of paginated Confusion Matrix chart insights by entity ID #
POST /api/v2/insights/featureEffects/ Request calculation of Feature Effects #
GET /api/v2/insights/featureEffects/models/{entityId}/ The list of paginated Feature Effects insights by entity ID #
POST /api/v2/insights/featureImpact/ Request calculation of Feature Impact #
GET /api/v2/insights/featureImpact/models/{entityId}/ The list of paginated Feature Impact insights by entity ID #
POST /api/v2/insights/liftChart/ Request calculation of Lift chart #
GET /api/v2/insights/liftChart/models/{entityId}/ The list of paginated lift chart insights by entity ID #
POST /api/v2/insights/residuals/ Request calculation of Residuals chart #
GET /api/v2/insights/residuals/models/{entityId}/ The list of paginated Residuals insights by entity ID #
POST /api/v2/insights/rocCurve/ Request calculation of ROC curve #
GET /api/v2/insights/rocCurve/models/{entityId}/ The list of paginated ROC curve insights by entity ID #
POST /api/v2/insights/shapDistributions/ Request calculation of SHAP Distributions #
GET /api/v2/insights/shapDistributions/models/{entityId}/ The list of paginated SHAP Distributions insights by entity ID #
POST /api/v2/insights/shapImpact/ Request calculation of SHAP Impact #
GET /api/v2/insights/shapImpact/models/{entityId}/ The list of paginated SHAP Impact insights by entity ID #
POST /api/v2/insights/shapMatrix/ Request calculation of SHAP Matrix #
GET /api/v2/insights/shapMatrix/models/{entityId}/ The list of paginated SHAP Matrix insights by entity ID #
POST /api/v2/insights/shapPreview/ Request calculation of SHAP Preview #
GET /api/v2/insights/shapPreview/models/{entityId}/ The list of paginated SHAP Preview insights by entity ID #
DELETE /api/v2/insights/{insightName}/models/{entityId}/ Delete insights by insightname #
GET /api/v2/multilabelInsights/{multilabelInsightsKey}/histogram/ Retrieve multicategorical feature histogram by multilabelinsightskey #
GET /api/v2/multilabelInsights/{multilabelInsightsKey}/pairwiseManualSelections/ Get all label lists by multilabelinsightskey #
POST /api/v2/multilabelInsights/{multilabelInsightsKey}/pairwiseManualSelections/ Save a list of manually selected labels by multilabelinsightskey #
DELETE /api/v2/multilabelInsights/{multilabelInsightsKey}/pairwiseManualSelections/{manualSelectionListId}/ Delete the label list by multilabelinsightskey #
PATCH /api/v2/multilabelInsights/{multilabelInsightsKey}/pairwiseManualSelections/{manualSelectionListId}/ Update the label list name by multilabelinsightskey #
GET /api/v2/multilabelInsights/{multilabelInsightsKey}/pairwiseStatistics/ Retrieve pairwise statistics by multilabelinsightskey #
GET /api/v2/projects/{projectId}/anomalyAssessmentRecords/ Retrieve anomaly assessment records by project ID #
DELETE /api/v2/projects/{projectId}/anomalyAssessmentRecords/{recordId}/ Delete the anomaly assessment record by project ID #
GET /api/v2/projects/{projectId}/anomalyAssessmentRecords/{recordId}/explanations/ Retrieve anomaly assessment record by project ID #
GET /api/v2/projects/{projectId}/anomalyAssessmentRecords/{recordId}/predictionsPreview/ Retrieve predictions preview by project ID #
GET /api/v2/projects/{projectId}/biasVsAccuracyInsights/ List Bias vs Accuracy insights by project ID #
GET /api/v2/projects/{projectId}/dataSlices/ List paginated Data Slices by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/accuracyOverTimePlots/ Retrieve the data by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/accuracyOverTimePlots/metadata/ Retrieve the metadata by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/accuracyOverTimePlots/preview/ Retrieve the preview by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/anomalyOverTimePlots/ Retrieve anomaly over time plots by ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/anomalyOverTimePlots/metadata/ Retrieve metadata by ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/anomalyOverTimePlots/preview/ Retrieve preview by ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/backtestStabilityPlot/ Retrieve a plot displaying the stability of the datetime model across by… #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/datasetAccuracyOverTimePlots/{datasetId}/ Retrieve the Accuracy Over Time (AOT) chart data by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/datasetAccuracyOverTimePlots/{datasetId}/metadata/ Retrieve the metadata of the Accuracy Over Time (AOT) chart by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/datasetAccuracyOverTimePlots/{datasetId}/preview/ Retrieve a preview of the Accuracy Over Time (AOT) chart by project ID #
POST /api/v2/projects/{projectId}/datetimeModels/{modelId}/datetimeTrendPlots/ Computes Datetime Trend plots by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/featureEffects/ Retrieve Feature Effects by project ID #
POST /api/v2/projects/{projectId}/datetimeModels/{modelId}/featureEffects/ Add a request by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/featureEffectsMetadata/ Retrieve Feature Effects metadata for each backtest by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/forecastDistanceStabilityPlot/ Retrieve a plot displaying the stability of the time series model across by… #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/forecastVsActualPlots/ Retrieve forecast vs actual plots by ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/forecastVsActualPlots/metadata/ Retrieve metadata by ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/forecastVsActualPlots/preview/ Retrieve preview by ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/multiclassFeatureEffects/ Retrieve feature effects by project ID #
POST /api/v2/projects/{projectId}/datetimeModels/{modelId}/multiclassFeatureEffects/ Compute feature effects by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/multiseriesHistograms/ Retrieve the histograms by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/multiseriesScores/ List the scores per individual series by project ID #
POST /api/v2/projects/{projectId}/datetimeModels/{modelId}/multiseriesScores/ Request the computation of per-series scores by project ID #
GET /api/v2/projects/{projectId}/datetimeModels/{modelId}/multiseriesScores/file/ Retrieve the CSV file by project ID #
GET /api/v2/projects/{projectId}/externalScores/ The list of scores on prediction datasets by project ID #
POST /api/v2/projects/{projectId}/externalScores/ Compute model scores by project ID #
GET /api/v2/projects/{projectId}/featureAssociationFeaturelists/ List all featurelists with feature association matrix availability flags by… #
GET /api/v2/projects/{projectId}/featureAssociationMatrix/ Retrieve pairwise feature association statistics by project ID #
POST /api/v2/projects/{projectId}/featureAssociationMatrix/ Compute the feature association matrix by project ID #
GET /api/v2/projects/{projectId}/featureAssociationMatrixDetails/ Retrieval by project ID #
GET /api/v2/projects/{projectId}/features/{featureName}/frequentValues/ Retrieve the frequent values information by project ID #
POST /api/v2/projects/{projectId}/geometryFeaturePlots/ Create a map of one location feature by project ID #
GET /api/v2/projects/{projectId}/geometryFeaturePlots/{featureName}/ Retrieve a map of one location feature by project ID #
GET /api/v2/projects/{projectId}/imageActivationMaps/ List all Image Activation Maps by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/anomalyAssessmentInitialization/ Calculate the anomaly assessment insight by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/anomalyInsightsFile/ Retrieve a CSV file of the raw data displayed by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/anomalyInsightsTable/ Retrieve a table of the raw data displayed by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/clusterInsights/ Retrieve Cluster Insights by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/clusterInsights/ Compute Cluster Insights by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/clusterInsights/download/ Download Cluster Insights result by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/confusionCharts/ Retrieve all available confusion charts by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/confusionCharts/{source}/ Retrieve the confusion chart data by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/confusionCharts/{source}/classDetails/ Calculates and sends frequency of class in distributed among other classes by… #
GET /api/v2/projects/{projectId}/models/{modelId}/confusionCharts/{source}/metadata/ Retrieve metadata by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/crossClassAccuracyScores/ List Cross Class Accuracy scores by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/crossClassAccuracyScores/ Start Cross Class Accuracy calculations by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/dataDisparityInsights/ Get Cross Class Data Disparity results by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/dataDisparityInsights/ Start insight calculations by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetConfusionCharts/ List of Confusion Charts objects on external datasets by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetConfusionCharts/{datasetId}/ Retrieve Confusion Chart objects on external datasets by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetConfusionCharts/{datasetId}/classDetails/ Calculate and sends frequency of class in distributed among other classes by… #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetConfusionCharts/{datasetId}/metadata/ Retrieve metadata by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetLiftCharts/ Retrieve List of Lift chart data on prediction datasets by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetMulticlassLiftCharts/ Retrieve List of Multiclass Lift chart data on prediction datasets by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetResidualsCharts/ The list of residuals chart objects by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/datasetRocCurves/ List of ROC curve objects on prediction datasets for a project with filtering… #
GET /api/v2/projects/{projectId}/models/{modelId}/fairnessInsights/ List calculated Per Class Bias insights by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/fairnessInsights/ Create fairness insights by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/featureEffects/ Retrieve feature effects by ID #
POST /api/v2/projects/{projectId}/models/{modelId}/featureEffects/ Create feature effects by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/featureEffectsMetadata/ Retrieve Feature Effects metadata by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/featureImpact/ Retrieve feature impact scores by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/featureImpact/ Create feature impact by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/featureLists/{datasetId}/clusterInsights/ Retrieve cluster insights by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/imageActivationMaps/ Retrieve Image Activation Maps by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/imageActivationMaps/ Request the computation of image activation maps by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/labelwiseRocCurves/{source}/ Retrieve labelwise ROC curves by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/liftChart/ Retrieve all available lift charts by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/liftChart/{source}/ Retrieve the lift chart data by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/multiclassFeatureEffects/ Retrieve multiclass feature effects by ID #
POST /api/v2/projects/{projectId}/models/{modelId}/multiclassFeatureEffects/ Create multiclass feature effects by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/multiclassFeatureImpact/ Retrieve multiclass feature impact by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/multiclassLiftChart/ Retrieve multiclass lift chart by ID #
GET /api/v2/projects/{projectId}/models/{modelId}/multiclassLiftChart/{source}/ Retrieve the multiclass lift chart data by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/multilabelLiftCharts/{source}/ Retrieve labelwise lift charts by project ID #
DELETE /api/v2/projects/{projectId}/models/{modelId}/predictionExplanationsInitialization/ Delete an existing PredictionExplanationsInitialization by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/predictionExplanationsInitialization/ Retrieve the current PredictionExplanationsInitialization by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/predictionExplanationsInitialization/ Create a new prediction explanations initialization by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/residuals/ Retrieve all residuals charts by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/residuals/{source}/ Retrieve the residuals chart data by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/rocCurve/ Retrieve all available ROC curves by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/rocCurve/{source}/ Retrieve the ROC curve data by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/shapImpact/ Retrieve Feature Impact for a model by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/shapImpact/ Create SHAP-based Feature Impact by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/wordCloud/ Retrieve word cloud data by project ID #
GET /api/v2/projects/{projectId}/multicategoricalInvalidFormat/ Retrieve multicategorical data quality log by project ID #
GET /api/v2/projects/{projectId}/multicategoricalInvalidFormat/file/ Get file by project ID #
GET /api/v2/projects/{projectId}/payoffMatrices/ List all payoff matrices by project ID #
POST /api/v2/projects/{projectId}/payoffMatrices/ Create a payoff matrix by project ID #
DELETE /api/v2/projects/{projectId}/payoffMatrices/{payoffMatrixId}/ Delete a payoff matrix by project ID #
PUT /api/v2/projects/{projectId}/payoffMatrices/{payoffMatrixId}/ Update a payoff matrix by project ID #
POST /api/v2/projects/{projectId}/predictionExplanations/ Create a new PredictionExplanations object ( by project ID #
GET /api/v2/projects/{projectId}/predictionExplanations/{predictionExplanationsId}/ Retrieve stored Prediction Explanations by project ID #
GET /api/v2/projects/{projectId}/predictionExplanationsRecords/ List PredictionExplanationsRecord objects by project ID #
DELETE /api/v2/projects/{projectId}/predictionExplanationsRecords/{predictionExplanationsId}/ Delete saved Prediction Explanations by project ID #
GET /api/v2/projects/{projectId}/predictionExplanationsRecords/{predictionExplanationsId}/ Retrieve a PredictionExplanationsRecord object by project ID #
GET /api/v2/projects/{projectId}/ratingTableModels/ List rating table models by project ID #
POST /api/v2/projects/{projectId}/ratingTableModels/ Create new models by project ID #
GET /api/v2/projects/{projectId}/ratingTableModels/{modelId}/ Retrieve a rating table model by project ID #
GET /api/v2/projects/{projectId}/ratingTables/ List rating tables by project ID #
POST /api/v2/projects/{projectId}/ratingTables/ Upload a modified rating table file by project ID #
GET /api/v2/projects/{projectId}/ratingTables/{ratingTableId}/ Retrieve rating table information by project ID #
PATCH /api/v2/projects/{projectId}/ratingTables/{ratingTableId}/ Update an uploaded rating table by project ID #
GET /api/v2/projects/{projectId}/ratingTables/{ratingTableId}/file/ Retrieve the rating table file by project ID #
GET /api/v2/projects/{projectId}/shapMatrices/ List SHAP matrix records by project ID #
POST /api/v2/projects/{projectId}/shapMatrices/ Calculate a matrix with SHAP-based prediction explanations scores by project ID #
GET /api/v2/projects/{projectId}/shapMatrices/{shapMatrixId}/ Return matrix with SHAP-based prediction explanations scores by project ID #

Specifications

⚙
OpenAPI
https://artifacts.apis.io/datarobot/openapi/datarobot-insights-api-openapi.yml

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OpenAPI Specification

datarobot-insights-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  contact:
    email: support@datarobot.com
    name: DataRobot Support
    url: https://support.datarobot.com
  description: DataRobot's Public facing API
  license:
    name: DataRobot Tool and Utility Agreement
    url: https://www.datarobot.com/wp-content/uploads/2021/07/DataRobot-Tool-and-Utility-Agreement.pdf
  title: Public Insights API
  version: 2.49.0
  x-datarobot-release-version: Latest
servers:
- url: https://app.datarobot.com/
security:
- BearerAuth: []
tags:


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# Full source: https://artifacts.apis.io/datarobot/openapi/datarobot-insights-api-openapi.yml