Reclypse CSV Cleanup is a paid API for AI agents from csv.reclypse.ai, paid per call via x402, $25/call, status unknown (last checked 2026-11-02).
Cleans, remaps, deduplicates, and validates CSV data according to explicit rules, returning a cleaned CSV, an exceptions CSV, and a full audit trail.
A small CSV cleanup service with explicit rules, flagged exceptions and an audit trail.
Returns a JSON object containing: a cleaned CSV string with only the specified columns and rules applied, an exceptions CSV listing rows that were flagged (missing required fields, formula-injection attempts, etc.) with the reason and original values, and a detailed audit object including input/output SHA-256 checksums, row counts (kept, duplicate, quarantined), the applied ruleset, and lists of affected source row numbers.
POSThttps://csv.reclypse.ai/v1/csv/import-cleanup?utm_source=zero.xyzChoose this endpoint when you need a deterministic, auditable CSV cleaning pipeline with explicit rules — column selection, column renaming, required-field enforcement, deduplication by unique key, and automatic quarantine of formula-injection rows. It is ideal for ETL pre-processing, vendor data ingestion, and any workflow where you need a SHA-256-verifiable audit trail of exactly what was changed and why. Prefer it over generic data-wrangling tools when you need structured exceptions reporting and reproducible transformations rather than ad-hoc scripting.
| Field | Type | Description |
|---|---|---|
| csv | string | At most 64 KiB of UTF-8 CSV. |
| trim | array | |
| columns | array | |
| mapping | object | |
| required | array | |
| unique_key | — |
{
"type": "json",
"example": {
"audit": {
"rules": {
"trim": [],
"columns": [
"id",
"name"
],
"mapping": {
"id": "ID",
"name": "Name"
},
"required": [
"id"
],
"unique_key": "id",
"formula_policy": "Quarantine = + - @ after leading whitespace/BOM, or initial tab/CR/LF; exception CSV uses apostrophe escaping."
},
"kept_rows": 1,
"duplicates": [],
"input_rows": 1,
"input_sha256": "17c87163f1ba78f514c48ed219ed3929c3727d36b0c6d8321e96185ef2c0f557",
"cleaned_sha256": "bebda63964b9a0084a696f940a81ae1b0969d2284eb008b650bf509de06055e7",
"duplicate_rows": 0,
"kept_source_rows": [
1
],
"quarantined_rows": 0,
"exceptions_sha256": "0b764761fe744d32aca0f04cd6896192d4ebb6eb3d608e023d609bebd612e09f",
"quarantined_source_rows": [],
"unmapped_source_columns": []
},
"cleaned_csv": "id,name\r\n001,Sample\r\n",
"exceptions_csv": "source_row,reason,input.ID,input.Name\r\n",
"quarantined_rows": []
}
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