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Data Reconciliation Analytics: Equal-Width Histogram + Date-by-Category Pivot
x402
Data Reconciliation Analytics: Equal-Width Histogram + 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).
Generates two analytical reports for data reconciliation records — an equal-width histogram of a chosen numeric field and a date-by-category pivot table — for up to 200 rows of source/target totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Equal-width histogram + Date by category pivot: Equal-width histogram + 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: (1) an equal-width histogram showing the frequency distribution of the chosen field (source_total or target_total) across up to 30 bins, and (2) a date-by-category pivot table breaking down totals by date and dataset_group. Both reports are computed locally from the supplied rows with no external lookups.
Example use cases
ETL pipeline source vs target audit
“I've got 120 reconciliation records from last month's ETL run with source_total and target_total for each row, grouped into 'finance' and 'ops' dataset groups. Can you run a histogram of source_total with 8 bins and a date-by-category pivot so I can see where the mismatches are clustering?”
Data warehouse daily total distribution
“Here are 80 rows from our data warehouse reconciliation check — each has a date, a dataset_group like 'sales' or 'returns', and both source_total and target_total. Please compute an equal-width histogram with 5 bins on target_total and pivot the totals by date and category.”
Monthly financial reconciliation report
“I need to analyze these 200 reconciliation records covering Q1 — they have source_total and target_total per group. Run the histogram on source_total with 15 bins and generate the date-by-category pivot so I can spot which groups and dates have the biggest gaps.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytical views — a numeric distribution histogram and a date-by-category pivot — on reconciliation data (source vs target totals) in a single low-cost call. Ideal for data engineers and analysts who want to quickly audit ETL or warehouse reconciliation outputs without setting up a full BI tool. Best suited for datasets under 200 rows where batch local computation is sufficient and no live external data is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- bins value outside 1–30 range causes validation error
- Null values in source_total or target_total may affect histogram bin calculations
- Payment not included or incorrect USDC amount causes x402 payment failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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