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Schema Conformity Record Quality Audit + Numeric Interval Filter
x402
Schema Conformity Record Quality Audit + 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 2026-10-17).
Audits schema conformity records for data quality and filters rows by a numeric interval across valid_records or checked_records fields, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Numeric interval filter: Record quality audit + 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: (1) a record quality audit identifying issues, anomalies, or invalid entries across the supplied conformity rows, and (2) a numeric interval filter report classifying which rows have the selected field (valid_records or checked_records) within the specified minimum–maximum bounds. Both reports operate on the same supplied dataset of up to 200 rows using local analytical engines with no external lookups.
Example use cases
Daily conformity batch quality check
“I have 80 rows of schema conformity data from yesterday's pipeline runs, each with a row_id, dataset_group, date, valid_records, and checked_records. Can you audit them for quality issues and also filter to show me which rows have valid_records between 0 and 500?”
Out-of-range checked_records detection
“Run a quality audit on my conformity records and filter on checked_records — I want to see which of my 120 rows have checked_records values between 5 and 1000, and flag any that look like data quality problems.”
Multi-group schema conformity analysis
“I'm comparing schema conformity across two dataset groups over the past month — about 150 rows total with valid_records and checked_records per day. Can you do a record quality audit and filter valid_records between 50 and 300 to help me spot anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a structural data quality audit and a numeric range filter on schema conformity records in a single $0.01 call. It is ideal for data governance pipelines, QA workflows, or monitoring jobs where you have pre-collected valid_records and checked_records data and want two simultaneous analytical perspectives — quality assessment plus interval classification — without any external API calls or live data lookups.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, valid_records, checked_records) causes rejection
- Date field not matching YYYY-MM-DD pattern triggers schema validation failure
- minimum greater than maximum may produce empty filter results or an error
- Null values in valid_records or checked_records may be flagged or excluded from interval filter
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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