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Data Reconciliation — Keyed Dataset Comparison with Missing-Value Fill
x402
Data Reconciliation — Keyed Dataset Comparison with Missing-Value Fill 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).
Compares two keyed datasets row-by-row, identifies discrepancies between source_total and target_total, and fills explicit missing values, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill 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 per call: a keyed row-by-row comparison report showing differences between source_total and target_total across both supplied datasets, and an explicit missing-value fill report identifying and resolving null entries — all computed locally with no external lookups, covering up to 200 rows per dataset.
Example use cases
Monthly finance close reconciliation
“I need to reconcile our October 2026 ledger data — I have two sets of up to 150 rows, each with row_id, dataset_group, date, source_total and target_total. Can you compare them keyed by row_id, fill any nulls, and give me a report on where the source_total values differ between the two datasets?”
ETL pipeline output validation
“After our ETL run, I have a source extract and a target load result, each up to 200 rows with row_id, dataset_group, date, source_total and target_total. Please do a keyed comparison on source_total to find any rows where the values don't match and flag where data is missing.”
Cross-system sales total verification
“We pull sales totals from two different systems every week — can you take both datasets (up to 100 rows each, with row_id, dataset_group, date, source_total and target_total) and compare them by row_id on the target_total field, filling in any missing entries and producing two reconciliation reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) batch reconciliation of two keyed datasets up to 200 rows each, with explicit missing-value handling and two independent analytical reports — particularly when no external data lookup, prediction, or live enrichment is needed and all data is supplied by the caller.
Side effects
- Exceeding 200 rows triggers a validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) cause schema rejection
- Dates not matching YYYY-MM-DD pattern are rejected
- Values outside ±1,000,000,000,000 range are rejected
- row_id longer than 80 characters is rejected
- Submitting fewer than 1 row causes an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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