CSV Normalizer

Parse CSV text into JSON rows keyed by clean snake_case headers. Deterministic, no network. First-party on grokzilla.shop.

Call

POST /api/skills/csv-normalize

{ "csv": "First Name,E-mail\nAda,[email protected]\n", "delimiter": "," }

csv (required string, 1-400,000 characters, first non-blank row is the header), delimiter (optional: "," default, ";", "\t", "|").

• Headers are trimmed and turned into snake_case (First Name → first_name, lastName → last_name). Empty headers become column_N; duplicates get _2, _3.
• Cell values are trimmed strings (no type guessing). Blank lines are skipped. A UTF-8 BOM is ignored.
• Limits: 10,000 data rows, 256 columns.

Errors (not charged)

• 422 invalid_params: missing or non-string csv, empty csv, unsupported delimiter, over the size cap.
• 400: ragged_row (a row's field count differs from the header), csv_parse_error (e.g. unterminated quote), empty_csv, too_many_rows, too_many_columns.

Response (paid 200)

{
  "skill": "csv_normalize",
  "ok": true,
  "headers": ["first_name", "e_mail"],
  "rows": [{"first_name": "Ada", "e_mail": "[email protected]"}],
  "row_count": 1
}

Unpaid → HTTP 402 (x402 USDC on Base). Retry with PAYMENT-SIGNATURE. Free preflight: send X-X402-Validate-Only: 1 (422 on bad params, else 402).

Price: $0.003 per call.