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Schema Conformity Analytics: Record Quality Audit, String Normalisation & Numeric Interval Filter
x402
Schema Conformity Analytics: Record Quality Audit, 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 2026-10-14).
Runs three local analytical reports on schema conformity data — record quality audit, string normalisation, and numeric interval filtering — for up to 200 rows of valid/checked record counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports covering: (1) a record quality audit flagging malformed or anomalous rows, (2) string normalisation results for text fields such as dataset_group, and (3) a numeric interval filter identifying which rows have valid_records or checked_records values within the specified minimum/maximum bounds. All computed locally with no external lookups.
Example use cases
Data pipeline conformity spot-check
“I have 150 rows of daily schema conformity logs with valid_records and checked_records per dataset group. Can you run a quality audit, normalise the string fields, and filter valid_records between 5 and 500 so I can see which rows pass?”
Threshold breach detection in QA metrics
“Audit these 80 schema conformity records for me — I want to see which checked_records values fall outside the range 0 to 50, plus a string normalisation pass on the dataset_group names.”
Multi-group conformity review before report
“Before I publish my monthly report, run all three analytics — record quality audit, string normalisation, and numeric interval filter on checked_records from 10 to 1000 — across these 200 schema conformity rows grouped by team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous local analytical passes (quality audit + string normalisation + numeric interval filter) on schema conformity record data in a single low-cost call, without requiring any live data lookup, external API calls, or predictive modelling. Ideal for batch quality checks on up to 200 rows of valid/checked record metrics where cost efficiency matters ($0.01 USDC for all three reports).
Side effects
- Fewer than 1 row supplied — minimum item count not met
- More than 200 rows supplied — exceeds maxItems limit
- Date field does not match YYYY-MM-DD pattern — schema validation error
- row_id missing or empty — required field violation
- valid_records or checked_records outside ±1,000,000,000,000 — numeric bounds exceeded
- minimum greater than maximum — logically invalid interval
- Payment not included or insufficient — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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