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Schema Conformity — Record Quality Audit + Adjacent Row Changes
x402
Schema Conformity — Record Quality Audit + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Runs two analytical reports on schema conformity data — a record quality audit and adjacent-row change detection — 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 + Adjacent row changes: Record quality audit + Adjacent row changes 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 summarizing the distribution, completeness, and quality of valid_records or checked_records across the supplied rows; and (2) an adjacent row changes report showing delta values between consecutive rows, grouped or sorted by date. Both reports are computed locally with no external lookups.
Example use cases
Daily conformity drift monitoring
“I have a week of schema conformity logs for two dataset groups — can you run the record quality audit and adjacent row changes analysis on my valid_records field? Here are 7 rows dated 2026-11-01 through 2026-11-07, group-a with valid_records 100, 98, 95, 102, 99, 97, 101 and checked_records 110 each.”
Checked records anomaly detection
“Something looks off in our checked_records numbers this month — can you audit the record quality and show me the row-to-row changes for the checked_records field across these 10 conformity rows from group-b spanning October 2026?”
Multi-group conformity comparison
“We have two dataset groups — alpha and beta — with conformity records over 5 dates each. Can you run the quality audit and adjacent row change reports on valid_records for all 10 rows so I can compare how each group is trending?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a quality audit and row-to-row change analysis on schema conformity metrics (valid_records or checked_records) in a single low-cost call. It is ideal for batch analytical jobs on up to 200 rows of conformity data where no live external data, predictions, or side effects are needed. Prefer alternatives if you need only one report type, require more than 200 rows, or need real-time streaming analysis.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — request rejected with max items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, valid_records, checked_records) — rejected with required field error
- Field enum value outside valid options — schema rejection
- Null numeric values may cause incomplete delta calculations in the adjacent row changes report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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