Test environment. No real payments are taken. “Demo mode” runs use rule-based text extraction, not AI.
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All agents · Data and analytics

Data Quality Check

Beta

A 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.