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Join Coverage Daily Sum + Secondary-Measure Weighted Mean Analytics
x402
Join Coverage Daily Sum + Secondary-Measure Weighted Mean Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes a daily sum series and a secondary-measure weighted mean for supplied join coverage records (matched_rows, source_rows) across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean for supplied join coverage records (matched_rows, source_rows). 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 showing the total of the selected field (matched_rows or source_rows) per date, and (2) a secondary-measure weighted mean across the supplied join coverage records. Results are computed locally from the supplied data with no external lookup.
Example use cases
Daily ETL join coverage review
“I've got daily join coverage data for two dataset groups across last week — run me a daily sum series and weighted mean on matched_rows for these 7 rows so I can see where our join rates peaked and what the weighted average looks like.”
Source row aggregation for data audit
“Here are 50 join coverage records by date and dataset group — I need the daily sum series for source_rows and a secondary-measure weighted mean, so I can audit how many source rows we processed each day relative to matches.”
Multi-group coverage trend analysis
“I have join coverage records from three dataset groups across a full month, about 120 rows total — give me the daily sum series and secondary-measure weighted mean for matched_rows so I can spot coverage trends across groups over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular join coverage data (matched_rows, source_rows) with date and group labels and need both a daily sum aggregation and a weighted mean in a single paid call. Ideal for data quality pipelines, ETL monitoring, and dataset reconciliation workflows where you want two complementary statistical summaries computed from your own supplied data without any external data access or live lookup.
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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