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Data Reconciliation — Adjacent Row Changes + Keyed Dataset Comparison
x402
Data Reconciliation — Adjacent Row Changes + 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: detects adjacent row-to-row changes and performs keyed dataset comparison between source and target totals, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + 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) an adjacent row changes report highlighting sequential differences between consecutive rows for the selected field, and (2) a keyed dataset comparison report matching rows by key between the primary and alternate datasets to surface mismatches in source_total and target_total values. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Financial ledger reconciliation audit
“I have two sets of daily totals from our source ledger and target ledger — can you run a keyed dataset comparison and check for adjacent row changes on the source_total field? Here are up to 150 rows with row_id, date, dataset_group, source_total, and target_total.”
ETL pipeline discrepancy detection
“After our ETL run, I want to check whether the output rows match the input rows — please compare the source_total and target_total columns across these 80 reconciliation records, and flag any adjacent changes or key-level mismatches between the two datasets.”
Monthly close cross-system check
“It's month-end and I need to reconcile our accounting system against our data warehouse — here are 200 rows with source and target totals grouped by business unit, can you run adjacent row change detection and a keyed comparison report on them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two reconciliation analyses in a single call — adjacent row change detection AND keyed dataset comparison — for up to 200 rows of source/target numeric data. It is ideal for ETL audits, financial close reconciliation, and data pipeline validation where both sequential change detection and cross-dataset key matching are required simultaneously. It does not perform live lookups, predictions, or external integrations, so it is best suited for batch-style offline data supplied directly by the caller.
Side effects
- Exceeding 200 rows returns an error — keep input arrays to maxItems:200
- Missing required fields (row_id, dataset_group, date, source_total, target_total) cause validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 not met) returns an error
- Payment failure via x402 protocol results in no report being returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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