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Data Reconciliation: Two-Measure Correlation + Date-by-Category Pivot
x402
Data Reconciliation: Two-Measure Correlation + Date-by-Category Pivot 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 supplied reconciliation data: a Pearson/correlation analysis between source_total and target_total, plus a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 computed locally: (1) a two-measure correlation analysis quantifying the statistical relationship between source_total and target_total across all supplied rows, and (2) a date-by-category pivot table aggregating the selected measure (source_total or target_total) broken down by date and dataset_group. No external data is fetched; all analysis is performed on the submitted rows (up to 200).
Example use cases
ETL pipeline discrepancy audit
“I've got my ETL reconciliation output with 150 rows — each has a row ID, date, dataset group, source_total, and target_total. Can you run the correlation between source and target totals and also pivot the source_total figures by date and group so I can spot where the pipelines are out of sync?”
Finance month-end close validation
“For month-end close, I need to check if our source ledger totals and target totals are moving together — I have 80 rows with dates in October 2026 across two groups. Please run the two-measure correlation and the date-by-category pivot on source_total.”
Data quality review across dataset groups
“We're doing a data quality review across group-a and group-b. I have about 60 reconciliation records with dates, source_total, and target_total. Can you give me the correlation report between the two measures and a pivot of target_total by date and category?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have reconciliation data with source and target numeric totals organized by date and category group, and you need both a correlation analysis and a pivot summary in a single call for up to 200 rows. It is ideal for ETL validation, finance close processes, and data quality checks where no external lookup or live data is needed — just fast local computation on your supplied rows.
Side effects
- Fewer than 1 row supplied — request rejected (minItems:1)
- More than 200 rows supplied — request rejected (maxItems:200)
- Date field does not match YYYY-MM-DD pattern — validation error
- source_total or target_total out of range (±1 trillion) — validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — schema validation error
- Both measures are constant (zero variance) — correlation may return NaN or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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