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Aggregation Checks — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Aggregation Checks — Numeric Row Ordering + 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 2026-10-15).
Runs two analytical reports on supplied aggregation-check records: numeric row ordering and secondary-measure weighted mean, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Aggregation checks — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied aggregation checks records (source_sum, aggregate_sum). 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 analytical reports computed on the supplied rows: (1) a numeric row ordering report ranking rows by the selected field, and (2) a secondary-measure weighted mean report using the secondary numeric measure as weights — both derived entirely from the user-supplied data, with no external lookups.
Example use cases
ETL pipeline aggregation audit
“I need to check if the source_sum values in my pipeline output are ranked in the right numeric order and get a weighted mean — here are my 8 rows with row IDs, dates in October 2026, source_sums ranging from 100 to 8000, and aggregate_sums from 5 to 200, split across two dataset groups. Use source_sum as the field.”
Financial reconciliation row validation
“Can you analyze these 20 reconciliation records for me? Each has a row_id, a date between 2025-01-01 and 2025-01-20, a source_sum and aggregate_sum. I want to see if the rows are numerically ordered correctly and get the weighted mean of source_sum weighted by aggregate_sum. The field I care about is source_sum.”
Sales data aggregation quality check
“I've got 50 rows of daily sales aggregation data across three dataset groups with dates in Q3 2025, and I want two reports: one showing how the source_sum values rank numerically row by row, and another giving me the weighted mean using aggregate_sum as the weight. Field should be source_sum.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-17-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ordering analysis and a secondary-measure weighted mean computed together on up to 200 aggregation-check records in a single low-cost call, especially for ETL validation, financial reconciliation auditing, or data quality checks where no external data or live lookups are needed.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Date values not matching YYYY-MM-DD pattern — validation error
- source_sum or aggregate_sum values outside ±1,000,000,000,000 — schema rejection
- Missing required fields (row_id, dataset_group, date, source_sum, aggregate_sum) — error response
- Invalid field enum value (not 'source_sum' or 'aggregate_sum') — validation failure
- Payment not provided or insufficient USDC — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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