TABLE · NO INSTALL
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). Returns the cleaned CSV plus an exact report of what changed (row counts before/after, cells trimmed per column) so the result can be checked without re-reading the file. One URL. No install, no API key, free during the beta.
Try it right here
No install, no key, no signup — this runs the same endpoint an agent calls. Free during the beta, subject to fair capacity limits.
Call it
curl "https://ainetcafe.com/t/clean_table?...params"Response contains a hosted file URL. All calls are temporarily free during the beta; fair capacity limits apply.
Also callable via MCP and the Python SDK.
Same family
merge_tables — Merge several CSVs into one
dedupe_entities — Find records in a supplier/customer/store list that are probably the SAME entity under different names — "北京星辰科技有限公司" vs "星辰科技(北京)" — by cross-checking name similarity against hard identifiers: tax ID (统一社会信用代码, checksum-verified), phone, domain, bank account, address
match_transactions — Match bank statement lines to ledger/invoice entries when there is NO shared key — by amount, date window, reference numbers found inside free-text descriptions, and fuzzy counterparty names ("北京XX科技" vs "XX科技(北京)")
read_xlsx — Read an Excel
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)
dedupe_entities — Find records in a supplier/customer/store list that are probably the SAME entity under different names — "北京星辰科技有限公司" vs "星辰科技(北京)" — by cross-checking name similarity against hard identifiers: tax ID (统一社会信用代码, checksum-verified), phone, domain, bank account, address
match_transactions — Match bank statement lines to ledger/invoice entries when there is NO shared key — by amount, date window, reference numbers found inside free-text descriptions, and fuzzy counterparty names ("北京XX科技" vs "XX科技(北京)")
read_xlsx — Read an Excel
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)