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Schema Conformity — String Normalisation + Numeric Interval Filter
x402
Schema Conformity — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Normalises string fields and applies a numeric interval filter to schema conformity records (valid_records, checked_records), returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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
Returns two independent analytical reports: one covering string normalisation of the specified fields across submitted rows, and one covering a numeric interval filter applied to the chosen field (valid_records or checked_records) within the given minimum–maximum bounds. Covers up to 200 input rows, processed locally with no external lookups or live data.
Example use cases
Data quality pipeline pre-check
“I've got 150 schema conformity records from our ETL pipeline — can you normalize the string fields and filter checked_records to only those between 0 and 1000, so I can see which rows are within a valid range?”
Audit of valid record counts by group
“Run string normalisation and a numeric interval filter on my dataset — I want to focus on the valid_records field for values between 5 and 200, and my rows are tagged with dataset groups like 'finance' and 'ops' from dates in late 2026.”
Spot-check conformity metrics before reporting
“Before I finalize my data quality report, can you normalize string fields and filter valid_records between 50 and 10000 on these 80 schema conformity rows so I can catch any outliers or formatting issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-026?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical processing of schema conformity data — specifically when you want both string normalisation and numeric interval filtering in a single call for up to 200 rows. It is ideal for data quality pipelines where you need to clean string representations and isolate records within a specific numeric range of valid_records or checked_records, without any live lookup or external data enrichment.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Minimum value greater than maximum value may produce empty filter results
- Missing required fields (row_id, valid_records, checked_records) causes row rejection
- Field enum value not one of 'valid_records' or 'checked_records' causes parameter error
- Null numeric values in the filtered field may be excluded from interval results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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