List tabular data files (CSV/TSV/JSON/NDJSON/Parquet/Excel) in a local directory, with sizes.

Return the schema, row/column counts, and per-column statistics (type, nulls, unique, min/max/mean/median, top values) for a local data file. Token-efficient; reads a sample for very large files.

Return the first N rows of a local data file as a Markdown table.

Run a read-only structured query over a local data file: filter (where), select columns, order_by, limit/offset, and group_by with aggregations (count/sum/avg/min/max). Returns a Markdown table. No SQL, no writes — the file is never modified.

Turn a local data file (optionally after a query) into ONE self-contained, fully-offline, interactive HTML explorer file on disk (sortable/filterable table + column stats + charts). Returns the path. The user can open it in any browser; data never leaves the machine and the file has zero external requests. Use this to hand the user a shareable, explorable artifact instead of a plain text table.

Compare two local data files (a git-style diff for data). Reports added/removed/changed/unchanged row counts (matched by --key when given), and optionally writes a self-contained offline HTML diff report. Both files stay local.