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Data Reconciliation — Grouped Numeric Summary + Keyed Dataset Comparison
x402
Data Reconciliation — Grouped Numeric Summary + Keyed Dataset Comparison 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).
Runs two analytical reports on supplied reconciliation data: a grouped numeric summary (aggregated stats by dataset_group) and a keyed row-by-row comparison between two datasets (source_total vs target_total), for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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 grouped numeric summary aggregating source_total and target_total statistics by dataset_group, and (2) a keyed dataset comparison that matches rows between the primary and secondary datasets by row_id, highlighting differences in the selected field. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Monthly financial close reconciliation
“I need to reconcile our ledger exports for October 2026 — I have two datasets each with up to 150 rows, each row has a row_id, dataset_group like 'revenue' or 'expenses', a date, and source_total and target_total amounts. Please run the grouped numeric summary and the keyed dataset comparison on source_total so I can spot any mismatches before we close the books.”
ETL pipeline output validation
“Our ETL pipeline produces a source dataset and a target dataset daily — can you compare them row by row using row_id as the key, grouped by pipeline_stage, and give me a summary of where source_total and target_total diverge? I'll send both datasets, each under 200 rows.”
Vendor invoice vs internal records audit
“I want to audit vendor invoices against our internal records — I have two sets of rows each identified by invoice_id as the row_id, grouped by vendor_name as the dataset_group, with dated source_total and target_total figures. Run the grouped numeric summary and the keyed comparison on target_total so I can see which vendors have discrepancies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped aggregate summary and a side-by-side row-keyed comparison of two reconciliation datasets in a single API call. It is ideal for ETL validation, financial close reconciliation, and audit workflows where you already have structured data with row_id, dataset_group, date, source_total, and target_total fields. At $0.01 USDC for two reports on up to 200 rows, it is highly cost-effective for batch reconciliation tasks that don't require live data lookups or external enrichment.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Empty rows array (minItems: 1 not met) — validation error
- row_id values not matchable between primary and comparison datasets — keyed comparison returns no matches
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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