Search the Eurostat catalogue (8,933 datasets) by keyword. Returns matching datasets with codes, descriptions, period coverage, and theme breadcrumbs. Use this to discover dataset codes before calling eurostat_get_dataset_info or eurostat_query_dataset. Results are limited to datasets and predefined tables — folders are excluded.
Navigate the Eurostat theme tree. Without theme_code returns the 11 top-level theme folders (Economy, Population, Transport, etc.) — the practical starting points. With a theme_code returns its immediate children: subtheme folders and datasets in that branch. Use this for structured discovery when you know the domain but not the dataset code, or to drill down from a broad topic to a specific dataset. Pair with eurostat_search_datasets for keyword-based discovery.
Fetch metadata for a Eurostat dataset: dimensions with valid values, time range, observation count, and last-update date. Call this before eurostat_query_dataset to discover what dimension codes are valid (unit, na_item, geo, etc.). Returns up to 10 sample values per dimension for orientation; use eurostat_get_dimension_values to list the full set for large dimensions.
List all valid values for a specific dimension in a Eurostat dataset (e.g., all unit codes for nama_10_gdp, all geo codes for a regional dataset). Use this when eurostat_get_dataset_info returns more values than the 10-item sample, or to confirm exact codes before querying. For the "geo" dimension, use geo_level to filter by NUTS hierarchy (country, nuts1, nuts2, nuts3). Invalid dimension_value codes passed to eurostat_query_dataset silently return no data; use this tool to verify codes first.
Fetch statistical data from a Eurostat dataset with dimension filters. Returns decoded observations with dimension codes and labels, numeric values, and status flags (e.g., "p" = provisional, "e" = estimated). Call eurostat_get_dataset_info first to discover valid dimension codes and values. Apply filters to keep the result set manageable — large unfiltered queries may trigger an async response error. Use filters.geo for specific country/region codes, or geo_level for NUTS hierarchy filtering (mutually exclusive). Use last_n_periods for the N most recent periods without knowing the end date.