Profile your CSV. Prove its quality.
Inspect every column, rank deterministic quality findings, test required, type, unique, range, pattern and allowed-value rules, then export a reproducible audit — all in your browser.
Inspect every column, rank deterministic quality findings, test required, type, unique, range, pattern and allowed-value rules, then export a reproducible audit — all in your browser.
A profile describes what is in a file; a contract proves whether it meets your expectations. This workspace keeps those jobs separate, shows every denominator, and preserves the row-level evidence behind each failure.
Inspect inferred types, completeness, distributions, exact duplicates, mixed values and IQR outliers locally.
Choose a business key and edit required, type, unique, range, pattern and allowed-value rules.
Download aggregate HTML or Markdown, full profile statistics, or a disclosed row-level issue ledger.
Observed signals stay separate from explicit failures, so a surprising value is not silently called wrong.
Exact duplicates, missingness, mixed value shapes, case variants, concentration and IQR outliers with visible calculations.
Save data-free column rules, arm one before a file loads, and rerun the same checks on the next export.
Test a single or composite key, then see every affected row when keys are blank or repeated.
Aggregate reports exclude raw values; the complete issue CSV discloses exactly when failing values are included.