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Data Reconciliation — Daily Sum Series + Secondary-Measure Weighted Mean
x402
Data Reconciliation — Daily Sum Series + 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).
Computes a daily sum series and a secondary-measure weighted mean for up to 200 rows of supplied source/target reconciliation data, returning two independent analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Daily sum series + Secondary-measure weighted mean: Daily sum series + 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
Two independent analytical reports: (1) a daily sum series aggregating the chosen field (source_total or target_total) by date across the supplied rows, and (2) a secondary-measure weighted mean computed across the dataset. Both reports are derived entirely from the supplied input rows with no external lookups or predictions.
Example use cases
Daily revenue source-target reconciliation
“I have 120 daily reconciliation records for October comparing source_total and target_total across our payment groups — can you compute the daily sum series and weighted mean so I can see where the aggregates diverge?”
Weekly dataset group aggregate audit
“Run daily sum totals and a weighted mean report on these 50 rows of source and target figures grouped by dataset — I want to audit whether any group is consistently over or under on target_total.”
Month-end data pipeline variance analysis
“I've got end-of-month reconciliation data, around 180 rows across multiple dataset groups with dates in November — please generate the daily sum series and secondary-measure weighted mean for source_total so I can spot pipeline variance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of structured reconciliation data with source and target totals and need both a daily sum series and a weighted mean in a single low-cost ($0.01 USDC) call. It is ideal for offline/supplied-data analytics where no external data fetching, prediction, or professional assessment is required — pure local computation on data you already have.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) cause rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (not source_total or target_total) causes a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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