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Data Reconciliation — Record Quality Audit + Date by Category Pivot
x402
Data Reconciliation — Record Quality Audit + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs two analytical reports on supplied reconciliation data: a record quality audit and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied data reconciliation records (source_total, target_total). 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 highlighting issues such as nulls, mismatches, or anomalies in the source_total and target_total fields, and (2) a date-by-category pivot table aggregating the selected field (source_total or target_total) across dataset_group and date dimensions — all computed locally from the supplied rows with no external lookups.
Example use cases
ETL pipeline discrepancy review
“I just ran our nightly ETL and need to check the reconciliation output. Can you audit the record quality and pivot the source_total by date and dataset group for these 120 rows to see where source and target totals diverge?”
Month-end financial close reconciliation
“We're doing our month-end close and I need two reports on our reconciliation data — a quality audit to catch any bad records and a pivot of target_total by date and category across all 80 entries.”
Data migration validation
“After migrating data between systems, I have 200 reconciliation rows with source_total and target_total. Can you run a quality audit to flag suspect records and pivot the source_total by date and dataset_group so I can spot mismatches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record-level quality audit and a date-by-category pivot in a single low-cost call ($0.01 USDC) on up to 200 reconciliation rows — particularly for ETL validation, financial close, or data migration checks where you have explicit source_total and target_total values and want offline, deterministic analysis without any external API calls or live data lookups.
Side effects
- More than 200 rows submitted — exceeds max row limit
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row
- Invalid date format (must be YYYY-MM-DD)
- Empty rows array (minItems: 1)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value (must be source_total or target_total)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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