Data Cleanup Flows

Data Cleanup Flows helps standardize CSV/JSON files before analysis. It catches duplicates, empty values, and inconsistent labels so Claude reasoning stays reliable.

Balanced tokens

Intermediate

Stable

Desktop

Code

API

MCP

GitHub

Token efficiency+7-9% during prep

Cleanup prompts cost extra upfront, then reduce repeated correction loops.

What problem it solves

Low-quality input data that causes bad Claude outputs.

When to use

Analysts using scraped exports
Ops teams merging multiple sources

When to avoid

You already have clean structured datasets

Use cases

Pre-analysis sanitization

Prepare reliable datasets for Claude insights.

Messy spreadsheetsConflicting labels

Example workflow

1Import raw export
2Select cleanup profile
3Run normalization pass
4Feed cleaned dataset into analysis prompt

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