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Schema Conformity Record Quality Audit + Grouped Numeric Summary
x402
Schema Conformity Record Quality Audit + Grouped Numeric Summary 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).
Runs two local analytical reports on schema conformity data: a record quality audit and a grouped numeric summary for valid_records or checked_records fields, covering up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 reports: (1) a record quality audit flagging issues or anomalies per row, and (2) a grouped numeric summary aggregating the chosen field (valid_records or checked_records) by dataset_group, all computed locally without external lookups.
Example use cases
Daily data pipeline quality review
“I have my daily schema conformity logs for the past week — each row has a date, a dataset group, valid_records, and checked_records. Can you run a quality audit and grouped numeric summary on them, focusing on the valid_records field, so I can see which groups are underperforming?”
Multi-team dataset validation benchmarking
“We have conformity records from three different teams — each tagged with a dataset_group — for the month of October. Can you audit the record quality and give me a grouped numeric summary using checked_records so I can benchmark how each team is doing?”
ETL output conformity spot-check
“After our ETL run last night we captured 50 rows of schema conformity results across several pipeline groups. Can you do a record quality audit and a grouped numeric summary on those rows using the valid_records field to help us spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records fields and need both a per-row quality audit and a grouped numeric summary in a single low-cost call. Ideal for lightweight, local analytical checks on validation pipeline output without requiring an external database or prediction service.
Side effects
- Missing required fields (row_id, date, dataset_group, valid_records, checked_records) causes validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Null values in the selected numeric field may affect summary statistics
- Invalid field enum value (not 'valid_records' or 'checked_records') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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