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Data Reconciliation — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Data Reconciliation — Numeric Interval Filter + 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).
Filters reconciliation rows by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 source/target rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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) the subset of input rows whose chosen field (source_total or target_total) falls within the specified [minimum, maximum] interval, and (2) a secondary-measure weighted mean computed over those filtered rows. Up to 200 input rows are supported per call.
Example use cases
ETL pipeline source-target gap analysis
“I've got 120 reconciliation rows from my ETL pipeline with source_total and target_total values — filter them to the range 100 to 50000 on source_total and give me the weighted mean report so I can spot where the pipeline is drifting.”
Finance team monthly close reconciliation
“We're doing month-end close and I need to check our source vs target totals for the 'revenue' dataset group — filter out anything below 0 or above 1000000 and run the weighted mean analysis on target_total across all 60 rows.”
Outlier exclusion before reconciliation sign-off
“Before I sign off on this reconciliation, can you filter the 45 rows to only those with source_total between 500 and 250000 and return the two reports including the weighted mean so I can confirm the numbers look clean?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular reconciliation data with source and target numeric totals and need both an interval-based row filter and a weighted mean statistic in a single call. It is purpose-built for data reconciliation workflows (ETL validation, financial close, audit checks) and delivers two reports for a flat $0.01 USDC. Prefer it over general analytics services when your input is already structured as row_id/dataset_group/date/source_total/target_total records and you need offline, local analytical computation with no external lookups or side effects.
Side effects
- Fewer than 1 row provided — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — may return empty filtered set or error
- source_total or target_total out of allowed range (±1 trillion) — validation error
- Invalid field enum value — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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