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Data Reconciliation — Equal-Width Histogram + Keyed Dataset Comparison
x402
Data Reconciliation — Equal-Width Histogram + 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).
Analyzes up to 200 reconciliation records by generating an equal-width histogram of a chosen field and a keyed row-by-row comparison between two datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + 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 equal-width histogram dividing the selected field (source_total or target_total) into up to 30 bins showing frequency distribution across rows, and (2) a keyed dataset comparison report matching rows between the primary and comparison dataset by row_id and flagging value differences in source_total and target_total.
Example use cases
Monthly ledger reconciliation check
“I have 120 rows of journal entries with source_total and target_total from our accounting system for October — can you histogram the source_total into 8 bins and run a keyed comparison against the target dataset to find where the numbers diverge?”
ETL pipeline output validation
“We just ran an ETL job and I need to verify the output — here are 200 rows with row_id, date, dataset_group, source_total, and target_total. Generate a 5-bin equal-width histogram on target_total and do a keyed dataset comparison so I can spot any rows that changed unexpectedly.”
Vendor payment discrepancy detection
“Can you compare these two sets of vendor payment records row by row using the row_id as the key, and also give me a histogram of the source_total values across 6 bins so I can see how the amounts are distributed? There are about 80 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a statistical distribution view (histogram) and a row-level keyed comparison in a single API call for up to 200 reconciliation records. It is ideal for financial reconciliation, ETL validation, and data quality checks where source and target totals must be compared and their distributions understood simultaneously. Prefer alternatives if you need live data lookup, prediction, or more than 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) causes rejection
- Invalid date format (non YYYY-MM-DD) triggers a schema validation error
- Values outside ±1,000,000,000,000 range are rejected
- Requesting more than 30 bins returns a schema error
- Empty rows array (minItems:1 violated) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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