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Data Reconciliation: Adjacent Row Changes + Date-by-Category Pivot
x402
Data Reconciliation: Adjacent Row Changes + 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 2026-10-24).
Analyzes supplied data reconciliation records to produce two local reports: adjacent row-to-row change analysis and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Adjacent row changes + Date by category pivot: Adjacent row changes + 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) an adjacent row changes report showing sequential differences between consecutive rows for the selected field, and (2) a date-by-category pivot table summarizing values by date and dataset_group — all without any external lookup or live data.
Example use cases
Month-end finance reconciliation check
“I have 120 rows of month-end source and target totals across two ledger groups — can you run the adjacent row changes report and pivot them by date and group so I can spot where the numbers diverge?”
ETL pipeline data drift detection
“After our ETL run I've got source_total and target_total for each batch row across dataset groups A and B from last week — give me the adjacent row change analysis and a date-by-category pivot on source_total so I can see where drift crept in.”
Weekly inventory source-vs-target audit
“Here are 80 rows of weekly inventory reconciliation records with dates, source totals, and target totals across three warehouse groups — produce both the adjacent row changes and the date-by-category pivot report for target_total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 reconciliation records with source and target totals and need both a sequential row-change analysis and a date-grouped category pivot in one cheap call ($0.01 USDC). Ideal for lightweight, self-contained reconciliation audits that don't require live data lookups, external enrichment, or prediction — just fast local computation on supplied data.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, source_total, target_total) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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