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Schema Conformity — String Normalisation + Numeric Row Ordering
x402
Schema Conformity — String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Normalises string fields and orders rows numerically for schema conformity records (valid_records, checked_records), producing two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a string normalisation report showing how string fields (row_id, dataset_group, date) have been normalised, and (2) a numeric row ordering report showing rows ranked/sorted by the selected numeric field (valid_records or checked_records). No external lookups or live data — purely local analytical processing of the supplied rows.
Example use cases
Audit data pipeline conformity records
“I have 80 schema conformity records from our data pipeline with date, dataset_group, valid_records, and checked_records columns — can you normalise the string fields and order the rows numerically by valid_records, and give me both reports?”
Sort and clean quality check dataset
“Here are 120 rows of quality check data with row IDs, groups, and checked_records values — please run string normalisation and numeric row ordering on them using checked_records as the field, and return the two analysis reports.”
Prepare conformity rows for downstream reporting
“I need to prep my schema conformity batch of 30 rows for a downstream report — run string normalisation and numeric ordering on the valid_records field across all rows and give me the two local analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and numeric row ordering applied together to schema conformity records (up to 200 rows) in a single low-cost call. Ideal when you want two bundled local analytical reports without any live lookups, external API calls, or AI-generated predictions — purely deterministic processing of supplied data.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Empty rows array (minItems: 1 not met) — error response
- Invalid field enum value (must be valid_records or checked_records) — bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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