NewBotLabor CSV Cleaner

x402

NewBotLabor CSV Cleaner is a paid API for AI agents from newbotlabor--254ecdfcc2de11f19b541607ee4eb77e.web.val.run, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-22).

Cleans, normalizes, and deduplicates CSV text, returning structured output with a summary of fixes and issues.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call utilities for autonomous agents, paid with x402 (USDC on Base; no account, no API key).

Output

A JSON object containing: the cleaned CSV string, an array of JSON row objects (depending on output mode), a columns array with name and type info, a fixes array describing groups of applied transformations, an issues array with per-row problem details (row number, code, detail), and a summary string showing input/output row counts and issue/fix tallies.

Example use cases

Deduplicating a contact list export

“I have a CSV export of our mailing list that has a bunch of duplicate entries and messy headers — can you clean it up, remove the exact duplicate rows, normalize the column names to snake_case, and return both the cleaned CSV and JSON so I can review the changes?”

Preparing pipeline data for downstream processing

“Before I load this semicolon-delimited CSV into our database, can you auto-detect the delimiter, trim all the cell whitespace, drop any columns that are completely empty, and give me back the cleaned JSON rows with a summary of what was fixed?”

Auditing data quality issues in a spreadsheet export

“I exported this spreadsheet as a CSV and I want to know what problems are in it — can you run it through the cleaner with deduplication on and return the issues list and summary so I can see what rows had problems?”

Technical details

Endpoint

POSThttps://newbotlabor--254ecdfcc2de11f19b541607ee4eb77e.web.val.run/api/csv/clean?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, pay-per-call (no API key, no account) CSV cleaning utility that handles whitespace trimming, deduplication, header normalization, empty column removal, and delimiter auto-detection in a single call. It is ideal for autonomous agents that process untrusted or user-supplied CSV data before further pipeline steps, especially when you want a structured issues/fixes audit trail alongside the cleaned output.

Side effects

CSV exceeds 2,000,000 character limit — request rejected
Malformed CSV that cannot be parsed — returns parse error
Payment not included or insufficient — 402 Payment Required response
Invalid enum value for output or headerCase fields — validation error
Empty CSV input — may return empty output with zero rows

Input

Schema · Request body

Field	Type	Description
csv	string	CSV text, max 2,000,000 chars
trim	boolean	trim cell whitespace (default true)
dedupe	boolean	remove exact duplicate rows (default true)
output	string	what to return (default both)
delimiter	string	field delimiter (default: auto-detect , ; tab \|)
headerCase	string	header normalisation (default snake)
dropEmptyColumns	boolean	drop fully empty columns (default true)

Output

Schema · Response

{
  "type": "json",
  "example": {
    "csv": "name,e_mail\nalice,a@x.io\n",
    "fixes": [
      "normalized headers to snake_case",
      "removed 1 duplicate row(s)",
      "trimmed whitespace in 2 cell(s)"
    ],
    "issues": [
      {
        "row": 3,
        "code": "DUPLICATE_ROW",
        "detail": "exact duplicate of row 2; removed"
      }
    ],
    "columns": [
      {
        "name": "name",
        "type": "string",
        "empty": 0
      },
      {
        "name": "e_mail",
        "type": "string",
        "empty": 0
      }
    ],
    "summary": "2 input rows -> 1 output rows, 2 columns; 1 issue(s), 3 fix group(s)",
    "outputRows": 1
  }
}

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