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Data Reconciliation — Grouped Numeric Summary + Numeric Row Ordering
x402
Data Reconciliation — Grouped Numeric Summary + Numeric Row Ordering 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 grouped numeric summary and a numeric row ordering for up to 200 data reconciliation records comparing source and target totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 grouped numeric summary aggregating source_total or target_total values across dataset_group categories, and (2) a numeric row ordering ranking all supplied rows by the specified numeric field. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily ETL pipeline audit
“I've got 50 reconciliation records from yesterday's ETL run across groups 'sales', 'returns', and 'adjustments' — each with a source_total and target_total — can you group them and summarize the totals per group, then rank all rows by source_total so I can spot the biggest discrepancies?”
Month-end financial close check
“Here are 120 reconciliation entries from our month-end close across 5 ledger groups, with source and target totals for each date. Run me a grouped numeric summary across those groups and then order all the rows by target_total so we can prioritize the largest items.”
Cross-system data comparison
“I'm comparing records between two systems — I have 80 rows each tagged with a dataset_group, date, source_total, and target_total. Give me a grouped summary of the source_total values and a numeric row ordering by source_total so I can see which groups are most out of balance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-087?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped aggregate summary AND a ranked row ordering for data reconciliation records in a single API call. Ideal for ETL audits, financial close reconciliations, or any workflow comparing source vs. target totals across named groups with up to 200 rows. Prefer this over generic analytics tools when you want two distinct reconciliation-oriented reports cheaply ($0.01 USDC) without sending data to an external prediction or lookup service.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_total, or target_total) cause validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array causes validation failure
- Invalid field enum value (anything other than 'source_total' or 'target_total') is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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