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Data Reconciliation — Equal-Width Histogram + Secondary-Measure Weighted Mean
x402
Data Reconciliation — Equal-Width Histogram + Secondary-Measure Weighted Mean 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 (equal-width histogram and secondary-measure weighted mean) on supplied source/target reconciliation data rows, up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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: (1) an equal-width histogram showing how the selected field (source_total or target_total) distributes across the specified number of bins, and (2) a secondary-measure weighted mean summarizing the complementary field weighted by the primary measure — both computed locally against the supplied rows without any external lookups.
Example use cases
Financial close reconciliation distribution check
“I have 120 reconciliation rows from our month-end close with source_total and target_total values — can you run a 10-bin equal-width histogram on source_total and a weighted mean report on this data so I can see where the discrepancies cluster?”
Dataset group weighted mean audit
“We're auditing two dataset groups, alpha and beta, across 50 daily reconciliation records — run a histogram with 8 bins and a secondary-measure weighted mean on target_total so I can compare the groups' central tendency.”
Inventory count reconciliation analytics
“Here are 200 inventory reconciliation rows with source_total and target_total counts — generate an equal-width histogram using 15 bins and the weighted mean report on source_total so I can spot which ranges are over- or under-represented.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary statistical summaries — a histogram and a weighted mean — on reconciliation data (source vs target totals) in a single paid call. It is ideal for auditing data pipelines, financial close processes, or ETL validation where you want distribution shape and central tendency insights together. Prefer it over general analytics services when your data fits the source_total/target_total reconciliation schema and you want both reports for $0.01 in one round trip.
Side effects
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) on any row
- bins value outside 1–30 range
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row
- Null values in both source_total and target_total leaving insufficient data for computation
- field enum value not one of source_total or target_total
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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