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Schema Conformity Record Quality Audit and Keyed Dataset Comparison
x402
Schema Conformity Record Quality Audit and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Audits record quality for schema conformity data (valid_records vs checked_records) and compares two datasets by key, producing two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 valid_records vs checked_records metrics, validity rates, nulls, and anomalies per row and group; and (2) a keyed dataset comparison identifying differences between the primary and secondary datasets matched by row_id, covering discrepancies in valid_records and checked_records across dataset groups and dates.
Example use cases
Daily pipeline conformity health check
“I want to audit the quality of my ETL pipeline's schema conformity data from last week — I have about 80 rows with row_id, dataset_group, date, valid_records, and checked_records. Can you give me a record quality audit so I know which groups are failing the most?”
Comparing two environment conformity snapshots
“I have schema conformity records from our staging environment and our production environment, each about 60 rows with matching row IDs, dates, dataset groups, valid_records, and checked_records. Can you do a keyed dataset comparison to show me where the two environments diverge?”
Dataset group validity rate analysis
“We're tracking valid_records versus checked_records across four dataset groups over the past quarter — I have 120 rows of conformity data. Can you run a record quality audit to summarize the validity rates and flag any groups with poor conformity?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and a keyed dataset comparison for schema conformity data (valid_records, checked_records) in a single paid call. It is ideal for offline/batch analytical use cases where you supply your own data — no external lookups or live data sources are involved. Best when you want two structured reports from one request at low cost ($0.01 USDC for up to 200 rows total).
Side effects
- Rows array empty or missing — minItems:1 required
- More than 200 rows submitted — maxItems:200 enforced
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) per row
- date field not matching YYYY-MM-DD pattern
- row_id exceeds 80 characters or is empty
- Numeric fields outside allowed range (-1T to +1T)
- Payment not included or insufficient — requires 0.01 USDC via x402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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