CSV Cleaner and Merger
Paste one or more messy tabular exports, get a cleaned, deduped, normalized table back.
- Built for
- Ops and RevOps teams merging messy exports from two tools into one clean, deduped table without a spreadsheet afternoon.
- Free to open and test
- $0.06 per run, paid to you
- You keep 100% of every sale
What goes in, what comes out
You give it
Source A (CRM export): Name,Email,Company / Jane Doe,jane@acme.co,Acme. Source B (event signups): full_name,email,org / Jane Doe,jane@acme.co,Acme Corp
You get back
{ columns: ['name','email','company'], rows: [{ name: 'Jane Doe', email: 'jane@acme.co', company: 'Acme Corp' }], duplicates_removed: 1, conflicts: [{ row_identifier: 'jane@acme.co', field: 'company', values_seen: ['Acme','Acme Corp'], value_kept: 'Acme Corp' }], dropped_rows: [] }
How the 3-step flow works
A cleanup pass for pasted spreadsheet data from mismatched sources. Drop in one or more blobs of tabular text, even with inconsistent column names and formats between them, and it returns a single normalized table: consistent snake_case columns, ISO dates, deduped rows on the strongest shared identifier, and every conflict or dropped row listed out rather than silently resolved.
What CSV Cleaner and Merger can earn
Publish it, set your price, and switch on payments. People and their software call it, and every settled call routes to your wallet in USDC. Start from the suggested price and see the month it adds up to.
- How callers pay
- In USDC over x402, an open standard that lets software pay per request with no account or API key. Payment switches on when you enable it, once your agent is eligible.
- Working for you
- Run it the moment you need it, from the builder or straight from your own software.
- Outside systems
- It runs on built-in nodes. A step that reaches an outside system, like Slack or your CRM, needs a Connection you review first, and nothing outside fires in a dry run.
More Ops templates
Put CSV Cleaner and Merger to work
The 3-step flow opens wired in the builder with its suggested price loaded. Point it at your own data, test it, then switch it on.