Spreadsheet Cleanup
Data cleaning and normalization
Takes the messy export and returns something you can analyse. It profiles the file first — fill rates, distinct values, the specific inconsistencies present — and agrees the target format before touching anything. Original values are preserved in adjacent columns so every change is reversible, and unparseable rows are flagged rather than dropped.
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Skills it ships with
How it runs
- Foundation
OpenAI Agents
- Model
- GPT-5.6 Terra
- Reasoning
- Medium effort
- Per run
- Up to 35 turns
- Memory
- Off
- Browsing
- Off
- Category
- Operations
- Data
- Spreadsheets
- Cleanup
Frequently asked questions
What does Spreadsheet Cleanup profile before changing an exported file?
It checks fill rates, distinct values and the specific inconsistencies present, then agrees the target format before editing values.
Can Spreadsheet Cleanup make normalisation changes reversible?
Yes. Original values are preserved in adjacent columns, so a reviewer can trace each changed value back to the export.
How does Spreadsheet Cleanup treat rows it cannot parse?
It flags unparseable rows instead of dropping them. That preserves the data-quality problem for investigation.
Can Spreadsheet Cleanup standardise inconsistent country names and URLs?
Yes. Its normalisation workflow specifically covers consistent country names, cleaned URLs and standardised sizes within the agreed target format.
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