Overview Use Cases Connectors Authentication Getting Started with the Python SDK API API Reference ai_agents ai_chat algorithm annotations application_connectors batch_prediction code_completion custom_loss_function custom_metric database_connectors dataset deployment deployment_conversations docstore document_retrievers documentation eda external_app feature_drift feature_group feature_group_row_process feature_group_template file_connectors graph_dashboard holdout_analysis llm_apps mcp_server_connections model model_monitoring module natural_language_explanation organization pipelines predict prediction_operator project addFeatureGroupToProject addProjectTags createProject deleteProject describeProject describeUseCaseRequirements getProjectFeatureGroupConfig getRawDataFromRealtimeDataset listProjects listProjectsDashboard listUseCases removeFeatureGroupFromProject removeProjectTags renameProject setFeatureGroupType setFeatureMapping setProjectFeatureGroupConfig validateProject project_scopes python_function refresh routellm secrets streaming streaming_connectors upload user webhooks API Classes API Inputs Documentation Chat Bot API Search How to

Method

describeUseCaseRequirements GET

Copy GET

This API call returns the feature requirements for a specified use case.

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	useCase	str	This contains the Enum String for the use case whose dataset requirements are needed.

Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY	TYPE	DESCRIPTION
success	Boolean	true if the call succeeded, false if there was an error
result	list[UseCaseRequirements]

Exceptions:

TYPE	WHEN
InvalidEnumParameterError	An invalid value is passed for `useCase`.

Language: