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WebberSites Data Format Converter
x402
WebberSites Data Format Converter is a paid API for AI agents from api.webbersites.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Deterministically converts tabular data between JSON, NDJSON, CSV, TSV, and SQL INSERT dump formats with correct quoting, nesting, and schema unification.
Price / call$0.005
Success—
StatusUnknown
How this service works
Deterministic data-format conversion — the shape work an LLM cannot do reliably token-by-token. POST {data, from, to}: JSON, NDJSON, CSV, TSV, or a SQL INSERT dump in; any of the same out. Handles RFC 4180 quoting (commas, quotes, newlines in values), flattens nested objects to dot-notation columns, unions ragged records into a stable column set, and parses SQL string literals with '' and \' escapes. No AI, no network — same input, same bytes, every time.
Output
Returns the input data reformatted in the requested target format as a string. JSON output is a well-formed array or object; CSV/TSV output uses RFC 4180 quoting; NDJSON is one record per line; SQL output is syntactically valid INSERT statements. Nested JSON fields are flattened to dot-notation column names, and ragged record sets are unified into a consistent column schema.
Example use cases
Convert SQL dump to CSV
“I've got a SQL INSERT dump from our legacy database export and I need it turned into a CSV file I can open in Excel — can you convert it for me? Here's the dump: INSERT INTO users VALUES ('O\'Brien', 'Dublin'), ('Smith, Jr.', 'New York');”
Flatten ragged JSON records to TSV
“These JSON records don't all have the same fields — some are missing keys others have — but I need them unified into a single TSV with a consistent column set: [{"id":1,"name":"Alice","email":"alice@example.com"},{"id":2,"name":"Bob"},{"id":3,"email":"carol@example.com","role":"admin"}]”
Turn CSV into SQL INSERT statements
“Can you take this CSV data and convert it into SQL INSERT statements I can run against my database? The values include commas and quotes inside some fields so make sure the escaping is handled correctly: name,city
"Smith, John","New York"
"O'Brien",Dublin”
Technical details
Endpoint
POSThttps://api.webbersites.com/api/data/convertWhen to prefer
Choose this endpoint when you need reliable, deterministic tabular data format conversion without the nondeterminism of LLM-based approaches. Ideal for ETL pipelines, data preprocessing, or whenever RFC 4180 compliance, nested-object flattening, ragged-record unification, or SQL literal parsing is required. Prefer this over general-purpose LLM text transformation when byte-for-byte consistency across repeated calls matters.
Side effects
- Unsupported format value in 'from' or 'to' field — returns 400 with error message
- Malformed SQL string literals that don't match '' or \' escape conventions — parse may fail or produce garbled output
- Deeply nested JSON beyond supported flattening depth — may produce unexpected column names
- Missing required fields (data, from, to) — returns 400
- Payment not provided or insufficient — returns 402 requiring x402 payment of $0.005 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"to": "csv",
"from": "json",
"rows": 2,
"bytes": 26,
"output": "id,user.name\n1,Ann\n2,Bo",
"columns": [
"id",
"user.name"
]
}
}Tags
x402
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