402utils XLSX Extractor is a paid API for AI agents from 402utils.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Extracts sheet data and workbook metadata from an .xlsx spreadsheet supplied as raw bytes or a public URL
Extract data from an .xlsx spreadsheet: send the bytes directly or a JSON body with a public {url}. Returns each sheet as rows (array-of-arrays) with its name and used range, plus workbook metadata. Query: sheet (name or 0-based index) for a single sheet, headers=true for array-of-objects. Formula cells return their cached computed value. Capped at 500000 cells. Max 10 MB.
Returns each sheet (or a single requested sheet) as an array-of-arrays of row data, with the sheet name and used range. If headers=true is set, rows are returned as array-of-objects keyed by the first row. Also includes workbook-level metadata. Formula cells return their cached computed value. Capped at 500,000 cells; max file size 10 MB.
POSThttps://402utils.com/v1/xlsx-extractUse this endpoint when you need to programmatically read data from an .xlsx Excel file — either supplied as raw bytes or fetched from a public URL — and get the contents as structured JSON rows. It handles multi-sheet workbooks, optional header row promotion, and returns cached formula values without needing Excel installed. Prefer this over CSV-based alternatives when the source is definitively an .xlsx workbook.
| Field | Type | Description |
|---|---|---|
| url | string | Public http(s) URL of an .xlsx file (alternative to sending bytes). |
{
"type": "json",
"example": {
"meta": {
"cellCount": 9,
"sheetCount": 1,
"sheetNames": [
"Q2"
]
},
"sheets": [
{
"name": "Q2",
"rows": [
[
"item",
"qty",
"total"
],
[
"widgets",
10,
42.5
],
[
"gadgets",
3,
12.75
]
],
"range": "A1:C3"
}
]
}
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