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onboard_dataset — Register a dataset for semantic querying. Pass column names, inline records, or raw CSV. The engine profiles roles automatically and starts

list_datasets — List registered datasets and their current model tier. Use search plus compact mode for low-token discovery, then poll status or use the pri

get_dataset_status — Get live training status and model tier for a specific dataset. model_tier: 'none' = deterministic only, 'base' = generic model, 'schema' =

retrain_dataset — Re-trigger semantic training for a dataset. Use after schema changes, alias updates, or to force a fresh model build.

connect_data — High-level data onboarding flow. Use this instead of advanced connector/source tools for normal users. Connect data once, pick the table/fil

list_data — List visible datasets for the current user. Use search plus compact mode first for low-token dataset discovery, then get_data_schema on the

get_data_summary — Get the low-token dataset selection summary for a saved dataset_id. Use this after list_data(search=..., compact=true) before paying for the

get_data_schema — Get a saved dataset plus its schema and relationship metadata by dataset_id.