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Wealth Agent Data Clean
x402
Wealth Agent Data Clean is a paid API for AI agents from wealth-agent.wealthagent-app.workers.dev, paid per call via x402, $0.0025/call, status unknown (last checked 2026-10-19).
Cleans tabular data (CSV/TSV/JSON) by removing duplicates, trimming whitespace, and stripping empty rows
Price / call$0.0025
Success—
StatusUnknown
How this service works
Cleans a CSV/TSV/JSON table: removes duplicate and empty rows, trims whitespace, and returns the cleaned CSV with before/after quality checks and per-column stats. Call it before analysing or importing messy tabular data. Input: {"data": "<csv text>"}.
Output
Returns a JSON object with ok status, a cleaned CSV string, the kind of operation performed, a human-readable summary (e.g. '3 rows -> 2 rows'), and a changes object detailing cells_trimmed, duplicates_removed, and empty_rows_removed counts.
Example use cases
Deduplicate customer list before CRM import
“I have a CSV of customer records exported from our old system with lots of duplicate rows and extra spaces — can you clean it up and remove the duplicates before I import it into the CRM? Here's the data: id,name,email\n1, Alice ,alice@example.com\n2,Bob,bob@example.com\n1, Alice ,alice@example.com”
Sanitize survey responses for analysis
“These survey results came in as a JSON array and they're messy — there are blank entries and some rows appear twice. Can you clean the data and give me a summary of what changed? [{"q1":"yes","q2":""},{"q1":"no","q2":"maybe"},{"q1":"yes","q2":""}]”
Prepare product catalog TSV for bulk upload
“I've got a TSV of product names and prices that has some empty lines and duplicate entries from a merge — can you clean it up and return a tidy CSV? name\tprice\nWidget A\t9.99\nWidget B\t14.99\n\nWidget A\t9.99”
Technical details
Endpoint
GEThttps://wealth-agent.wealthagent-app.workers.dev/api/x402/data-clean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, paid micro-service to clean tabular data (CSV, TSV, or JSON arrays) by removing duplicates, trimming whitespace, and dropping empty rows — especially in automated pipelines where data arrives dirty from merges or exports. It is best suited for datasets under 60,000 characters where the output format (CSV) is acceptable.
Side effects
- Input data exceeds 60,000 character limit — returns error
- Invalid or unrecognizable format when auto-detection fails — returns error
- Malformed JSON array input — returns error
- Payment not processed (paid_not_delivered status) — deliverable is null
- Empty input data — may return unchanged empty result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"status": "delivered",
"resource": "data-clean",
"deliverable": {
"csv": "name,price\nA,100\nB,",
"kind": "data-clean",
"changes": {
"cells_trimmed": 0,
"duplicates_removed": 1,
"empty_rows_removed": 0
},
"summary": "3 rows -> 2 rows"
}
}
}Tags
x402
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