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Schema Conformity Two-Measure Correlation and Date-by-Category Pivot Analytics
x402
Schema Conformity Two-Measure Correlation and Date-by-Category Pivot Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Runs two local analytical reports on schema conformity data: a correlation between valid_records and checked_records, plus a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 computed locally on the supplied data: (1) a two-measure correlation between valid_records and checked_records across all rows, and (2) a pivot table of the selected field (valid_records or checked_records) broken down by date and dataset_group category. No external lookups or predictions are made.
Example use cases
Data quality audit correlation check
“I have a bunch of schema conformity records from our pipeline — each row has a dataset_group, a date, valid_records, and checked_records. Can you run a correlation between those two measures and also give me a pivot of valid_records by date and category? Here's the data for about 150 rows.”
Monthly conformity trend pivot for two groups
“We track schema conformity across two dataset groups — group-a and group-b — daily over the past month. Can you pivot the checked_records by date and group, and also show me how checked_records correlates with valid_records across all those rows?”
Data governance reporting for QA team
“Our QA team needs a quick analytics summary on this batch of conformity audit results — around 80 rows covering several dataset groups and dates. Run the two-measure correlation on valid_records and checked_records, plus a date-by-category breakdown of valid_records, and give us both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity or data validation records with valid_records and checked_records metrics and need both a statistical correlation between the two measures and a pivot breakdown by date and dataset_group, all in a single low-cost call without any external data lookups or side effects.
Side effects
- Missing required row fields (row_id, date, valid_records, checked_records) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error or truncation
- Null values in numeric fields may affect correlation computation
- 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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