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Data Reconciliation — Weighted Mean & Date-by-Category Pivot Analytics
x402
Data Reconciliation — Weighted Mean & 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 2026-10-19).
Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied data reconciliation records (source_total vs target_total) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + 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 analytical reports: (1) a secondary-measure weighted mean of the chosen field (source_total or target_total) across the supplied reconciliation rows, and (2) a date-by-category pivot table showing aggregated values broken down by date and dataset_group. Results are computed locally from the supplied data with no external lookups.
Example use cases
Monthly reconciliation summary by team
“I have 50 reconciliation records for October with source and target totals split across 5 department groups — can you give me the weighted mean and a date-by-category pivot on the target_total field so I can see where the biggest gaps are?”
Finance audit discrepancy breakdown
“We're auditing our ledger for Q3 and I have 120 rows of source vs target figures by accounting category and date — run the weighted mean and date pivot for source_total so we can spot which categories and dates have the largest imbalances.”
ETL pipeline validation report
“After our ETL run, I have 80 rows comparing source and target record counts by pipeline group and date — can you compute the weighted mean and pivot by date and category for source_total so I can validate the load was consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 reconciliation rows with source and target totals grouped by category and date, and you need both a weighted mean and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for offline/local analytical summarization of reconciliation datasets without needing a live data warehouse or BI tool.
Side effects
- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- Invalid date format (not YYYY-MM-DD) on any row — schema validation failure
- source_total or target_total values outside ±1,000,000,000,000 — rejected
- Missing required fields (row_id, dataset_group, date) — validation error
- Invalid field enum value (not source_total or target_total) — rejected
- Payment not completed in USDC — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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