Convert a JSON array of objects into a clean RFC 4180 CSV: header row, CRLF records, corre
Convert a JSON array of objects into a clean RFC 4180 CSV: header row, CRLF records, correct quoting and quote-doubling. Nested objects flatten to dot-notation columns (a.b.c), arrays are JSON-encoded into their cell, and you can select and order columns explicitly. Delimiter: comma, semicolon, tab or pipe. Caps: 100,000 rows, 5 MB body, 20 MB CSV out. Returns text/csv ready for Excel, Google Sheets or a data pipeline.
2000 (raw units)
price
1
calls / 30d
1
unique payers
2026-09-18
updated
Provider
402utils.com · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0xc55A2D530b53CBaD1001e4AfD4720B7E71f9C291",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "2000",
"maxTimeoutSeconds": 60
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"body": {
"delimiter": ",",
"rows": [
{
"city": "Orléans",
"name": "Jeanne d'Arc",
"stats": {
"active": true,
"score": 9.5
}
},
{
"name": "José",
"tags": [
"vip",
"beta"
]
}
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": "name,city,stats.score,stats.active,tags\r\nJeanne d'Arc,Orléans,9.5,true,\r\nJosé,,,,\"[\"\"vip\"\",\"\"beta\"\"]\"\r\n",
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"description": "Either this object form, or the bare `rows` array itself as the whole JSON body (defaults then apply).",
"properties": {
"columns": {
"description": "Optional column selection and order (flattened dot-notation names). Unknown names produce empty cells. Omit to use the union of all flattened row keys in first-seen order.",
"items": {
"type": "string"
},
"type": "array"
},
"delimiter": {
"default": ",",
"description": "Field separator.",
"enum": [
",",
";",
"\t",
"|"
],
"type": "string"
},
"rows": {
"description": "1–100,000 plain JSON objects, one per CSV record. Nested objects flatten to dot-notation column names; arrays are JSON-encoded into their cell; null becomes an empty cell.",
"items": {
"type": "object"
},
"maxItems": 100000,
"minItems": 1,
"type": "array"
}
},
"required": [
"rows"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"contentMediaType": "text/csv",
"description": "The response body is the CSV file (Content-Type: text/csv; charset=utf-8, Content-Disposition: attachment; filename=\"data.csv\"). CRLF record separators, trailing CRLF included.",
"type": "string"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
}Use it
curl
curl "https://402utils.com/v1/json-to-csv" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://402utils.com/v1/json-to-csv");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://402utils.com/v1/json-to-csv")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/5902.json, and this resource appears in /discovery/resources and /discovery/search.