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Coinslot JSON↔CSV Converter
x402
Coinslot JSON↔CSV Converter is a paid API for AI agents from coinslot.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Converts an array of JSON objects to CSV (with nested keys flattened to dot-path column headers) or converts a CSV string back to an array of JSON objects.
Price / call$0.002
Success—
StatusUnknown
How this service works
Convert an array of JSON objects to CSV (nested keys become dot-path columns) or CSV back to JSON. POST { direction: 'json-to-csv'|'csv-to-json', data }.
Output
For json-to-csv: a CSV string where each JSON object becomes a row and nested keys are flattened to dot-path column headers (e.g. address.city). For csv-to-json: an array of JSON objects parsed from the CSV rows, with column headers as keys.
Example use cases
Export database records to spreadsheet
“I have an array of user records from our database as JSON — each has nested fields like profile.age and profile.location. Can you convert them to CSV so I can open it in Excel? Here's the data: [{"name":"Alice","profile":{"age":30,"location":"NYC"}},{"name":"Bob","profile":{"age":25,"location":"LA"}}]”
Import CSV file into JSON pipeline
“I've got a CSV string from a data export and I need it as a JSON array so I can process it in my app. Can you convert this CSV to JSON for me? The CSV is: "name,age,city\nAlice,30,NYC\nBob,25,LA"”
Flatten nested API response for reporting
“I'm getting back a JSON array from an API where each object has nested keys like metrics.clicks and metrics.views. Convert it to CSV with dot-path column names so I can drop it into our reporting tool: [{"campaign":"summer","metrics":{"clicks":500,"views":2000}},{"campaign":"winter","metrics":{"clicks":300,"views":1500}}]”
Technical details
Endpoint
POSThttps://coinslot.dev/api/convertWhen to prefer
Choose this endpoint when you need a simple, stateless JSON↔CSV conversion that correctly handles nested object keys via dot-path flattening, without setting up a local library or runtime. Ideal for agents processing data pipelines, generating spreadsheet exports from API responses, or ingesting CSV uploads into JSON workflows.
Side effects
- Invalid direction value (not 'json-to-csv' or 'csv-to-json') returns an error
- Malformed JSON array (not an array of objects) causes a parse error
- Malformed CSV string (inconsistent columns, unclosed quotes) causes a parse error
- Empty data input may return an empty result or error
- Deeply nested objects may produce very long dot-path column names
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| data | — | Array of objects (json-to-csv) or CSV string (csv-to-json) |
| direction | string |
Tags
x402
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