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Schema Conformity Analytics: Date-by-Category Pivot + Keyed Dataset Comparison
x402
Schema Conformity Analytics: Date-by-Category Pivot + 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 2026-10-18).
Runs two local analytical reports on schema conformity data — a date-by-category pivot table and a keyed dataset comparison — for up to 200 rows of valid_records/checked_records data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Date by category pivot + Keyed dataset comparison: Date by category pivot + 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 date-by-category pivot table showing the selected metric (valid_records or checked_records) broken down by date and dataset_group, and (2) a keyed dataset comparison highlighting differences between the primary and comparison datasets matched on row_id. No external lookups or live data — all computation is local to the supplied rows.
Example use cases
Data quality pivot for multiple teams
“I have 150 rows of schema conformity data across three dataset groups with dates spanning last quarter — can you pivot the valid_records by date and category group, and also compare them against last quarter's numbers row by row?”
Regression check after pipeline change
“We updated our ETL pipeline last week. Here are the before and after schema conformity records with valid_records and checked_records per row — run a keyed comparison and a date-by-group pivot so I can spot any regressions.”
Monthly conformity reporting for compliance
“Generate a date-by-category pivot table and a keyed dataset comparison for our monthly schema conformity audit — I'll supply the current month's rows and last month's rows, each with valid_records and checked_records, grouping by dataset_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity records (valid_records, checked_records) organized by dataset_group and date, and need both a pivot-table breakdown and a side-by-side keyed comparison in a single paid call. Ideal for data quality teams running periodic audits or regression checks after pipeline changes, where all data is supplied client-side and no external lookup is needed. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch analytical tasks on pre-collected conformity data.
Side effects
- Input rows exceed 200 item limit — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors
- Date values not matching YYYY-MM-DD pattern fail schema validation
- Numeric fields outside ±1,000,000,000,000 range rejected
- Empty rows array returns an error
- Mismatched row_ids between primary and comparison datasets may result in unmatched rows in the comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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