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Synthex Forge Schema Cleanup Utility
x402
Synthex Forge Schema Cleanup Utility is a paid API for AI agents from x402.synthexforge.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-23).
Cleans and normalizes messy CSV or structured object data into a well-formed schema, returning a cleaned result for downstream processing.
Price / call$0.05
Success—
StatusUnknown
How this service works
Synthex Forge x402 Receive: 41 paid verification, attestation and governance endpoints (Ed25519 + SHA-256 signed artifacts) plus free verify/public-key/standard sibling routes. Paid routes answer HTTP 402 with an x402 v2 `payment-required` envelope (atomic USDC on Base mainnet, chain ID 8453). Free routes are declared with `security: []` per the x402scan discovery spec.
Output
Returns a JSON response with an 'ok' boolean indicating success, along with the cleaned and normalized version of the input CSV or data object ready for downstream use.
Example use cases
ETL pipeline data sanitization
“Before we load this CSV export from our CRM into the warehouse, can you clean it up and fix any schema inconsistencies using the schema cleanup endpoint?”
Normalize API response payload
“I've got a raw JSON object from a third-party API with irregular field names and missing keys — can you send it through the schema cleanup tool to get a consistent structure back?”
Fix malformed user-uploaded CSV
“A user just uploaded a CSV file with mixed delimiters and broken headers — can you clean it up so we can parse it properly?”
Technical details
Endpoint
POSThttps://x402.synthexforge.com/v1/utils/schema-cleanup?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a paid, cryptographically-governed (Ed25519 + SHA-256) schema cleanup with verifiable attestation on Base mainnet — ideal for compliance-sensitive or audit-trail-required data pipelines. Prefer this over generic ETL tools when your workflow requires signed artifacts and x402 payment accountability.
Side effects
- Malformed CSV with unparseable structure may return a validation error
- Missing both 'csv' and 'data' fields results in a 400 bad request
- Payment not included or insufficient USDC triggers HTTP 402 payment-required response
- Extremely large payloads may time out or be rejected
- Invalid JSON in the 'data' field causes a parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| data | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true
}
}Tags
x402
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