Docs Xlsx To Json

Last 30 days

Uptime

100%

Response time

277 ms typical, 844 ms slowest 5%

Last check

3 h ago

Next check

any minute now

How to call it

# bash or zsh: see the payment challenge (nothing is charged)
curl -g -i -X POST 'https://tanod.dev/v1/docs/xlsx-to-json' \
  -H 'content-type: application/json' \
  --data-raw '{"url":"https://tanod.dev/samples/sales-sample.xlsx"}'

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Ftanod.dev%2Fv1%2Fdocs%2Fxlsx-to-json
const res = await pay("https://tanod.dev/v1/docs/xlsx-to-json", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: "{\"url\":\"https://tanod.dev/samples/sales-sample.xlsx\"}",
});
console.log(await res.json());

Example input

{
  "url": "https://tanod.dev/samples/sales-sample.xlsx"
}

Example output

{
  "format": "json",
  "input_bytes": 5425,
  "note": "Cells are strings exactly as the workbook stores them; a formula cell is the value last computed by a spreadsheet application (empty if the file was never opened in one). Trailing empty cells and rows are dropped. CSV output is one file per sheet, UTF-8 with CRLF, and a cell that could be read as a formula is prefixed with an apostrophe (OWASP) so a spreadsheet cannot run it.",
  "operation": "xlsx-to-json",
  "sheet_count": 2,
  "sheets": [
    {
      "columns": 4,
      "name": "Sales",
      "row_count": 3,
      "rows": [
        [
          "region",
          "q1",
          "q2",
          "total"
        ],
        [
          "North",
          "1204",
          "1311",
          "2515"
        ],
        [
          "South",
          "980",
          "1015",
          "1995"
        ]
      ],
      "truncated": false
    },
    {
      "columns": 2,
      "name": "Notes",
      "row_count": 1,
      "rows": [
        [
          "prepared",
          "2026-10-09"
        ]
      ],
      "truncated": false
    }
  ],
  "sheets_read": 2,
  "untrusted_content": true
}

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