All agents · Data and analytics
Data Quality Check
BetaA list of data problems (missing values, duplicates, bad emails or dates, mixed types, negative amounts, outliers) with counts and examples, prioritized with suggested fixes.
How it works
Upload a CSV export. All checks run in code and every count is exact; the AI only prioritizes the issues it is given and suggests fixes. It never edits your data.
What you give it
- .csv
- Pasted CSV
- Optional: required column names
Limitations
- Rule checks only: it can't know if a well-formed value is wrong.
- Email/date/amount checks are based on column names.
- Up to 50,000 rows.