TABLE · NO INSTALL
read xlsx
Read an Excel .xlsx workbook (by URL) into rows — every sheet, or one you name. Returns cell values (not formula text), dates as YYYY-MM-DD instead of Excel serial numbers, and keeps leading zeros so ID/postcode columns are not silently mangled. Says plainly which sheet it used, which sheets are hidden, and where merged cells left blanks, instead of guessing for you. One URL. No install, no API key, free quota included.
Call it
curl "https://ainetcafe.com/t/read_xlsx?...params"Response contains a hosted file URL. Free anonymous quota; beyond it $0.003/call (pay per call, or pair for a bigger free tier).
Also callable via MCP and the Python SDK.
Same family
clean_table — Tidy a messy CSV: drop duplicate rows, trim whitespace, unify blank values, remove empty rows/columns, split one column into several, transpose rows/columns, or reshape a wide table into a long one (the format analysis tools want)
merge_tables — Merge several CSVs into one
write_xlsx — Build an Excel
reconcile_ledger — Reconcile two ledgers (e
diff_tables — Compare two tables row by row on a key column and report what differs — rows only in A, only in B, and rows present in both whose other columns disagree (with the exact column and both values)
merge_tables — Merge several CSVs into one
write_xlsx — Build an Excel
reconcile_ledger — Reconcile two ledgers (e
diff_tables — Compare two tables row by row on a key column and report what differs — rows only in A, only in B, and rows present in both whose other columns disagree (with the exact column and both values)