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Data Reconciliation — Numeric Distribution + Adjacent Row Changes
x402
Data Reconciliation — Numeric Distribution + Adjacent Row Changes 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 local analytical reports on reconciliation data: a numeric distribution analysis and an adjacent row change analysis for source_total/target_total pairs across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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 numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram) of the chosen field (source_total or target_total), and (2) an adjacent row changes report detailing the delta between consecutive rows for the selected field, both computed locally against the supplied reconciliation data.
Example use cases
ETL pipeline validation audit
“I have 80 rows of ETL reconciliation data with source and target totals by date and group — can you run the numeric distribution and adjacent row changes reports on the source_total field so I can see where values spike or drift between rows?”
Finance team month-end close check
“We're doing our month-end close and I need to verify our ledger reconciliation records. Here are 150 rows with dates, source_total and target_total values grouped by department — run both the distribution and row-change analysis on target_total for me.”
Data quality monitoring for daily feed
“Our daily data feed has 50 rows with source and target totals. Can you generate the numeric distribution stats and the adjacent row change report on source_total so we can spot any anomalies before we sign off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytical views — numeric distribution and adjacent row change detection — on reconciliation data in a single API call. It is ideal for ETL validation, finance reconciliation audits, and data quality checks where you want to understand both the statistical shape of values and how they shift between consecutive records. Prefer this over single-report endpoints when both distribution and row-delta analysis are needed simultaneously for up to 200 rows at a flat cost.
Side effects
- Exceeding 200 rows causes a validation error — payload must be trimmed
- Missing required fields (row_id, dataset_group, date, source_total, target_total) causes schema rejection
- Date fields not matching YYYY-MM-DD pattern will fail validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not allowed (minItems: 1)
- Invalid field enum value (not 'source_total' or 'target_total') causes parameter error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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