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Data Reconciliation — Daily Sum Series + Date by Category Pivot
x402
Data Reconciliation — Daily Sum Series + 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 2026-10-19).
Generates two analytical reports from supplied reconciliation data: a daily sum time series and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Daily sum series + Date by category pivot: Daily sum series + 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 computed locally from the supplied rows: (1) a daily sum series showing aggregated values of the selected field (source_total or target_total) per date, and (2) a date-by-category pivot table breaking down values by date and dataset_group. Supports up to 200 input rows per call.
Example use cases
Daily ETL pipeline discrepancy review
“I've got ETL reconciliation records across two groups — 'warehouse' and 'crm' — for the past month. Can you run both the daily sum series and the date-by-category pivot on my source_total values so I can spot where the pipeline is dropping numbers?”
Finance team source vs target audit
“We need to audit our source_total vs target_total reconciliation data for Q1 across three dataset groups. Can you produce the daily sums time series and a pivot by date and category from these records so the finance team can review the gaps?”
Data migration validation report
“We just completed a data migration and I need to validate the results. Here are our reconciliation rows with source and target totals by date and group — please generate the daily aggregated sums and a date-by-category pivot for target_total so we can confirm the migration landed correctly.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-143?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-collected reconciliation records with source and target totals and need both a daily time series aggregation and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for ETL validation, finance audits, and data migration checks where you already have the data locally and need fast offline analytics without any external lookup or prediction.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation failure
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Null values in source_total or target_total may affect aggregation results
- Invalid field enum value (must be 'source_total' or 'target_total') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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