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Join Coverage — Grouped Numeric Summary + Numeric Interval Filter
x402
Join Coverage — Grouped Numeric Summary + Numeric Interval Filter 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).
Analyzes join coverage records (matched_rows, source_rows) by computing a grouped numeric summary and applying a numeric interval filter, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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
Returns two analytical reports: (1) a grouped numeric summary of the chosen field (matched_rows or source_rows) broken down by dataset_group, and (2) a numeric interval filter report showing which rows fall within the specified minimum and maximum bounds — all computed locally against the supplied data with no external lookups.
Example use cases
ETL pipeline join coverage audit
“I have 150 join coverage records from our ETL pipeline with matched_rows and source_rows per dataset group. Can you give me a grouped numeric summary and filter to only the rows where matched_rows falls between 5 and 500?”
Data quality check for low match rates
“Here are our join coverage rows across group-a and group-b for October. Summarize matched_rows by group and filter out anything where matched_rows is below 10 or above 1000 so I can spot anomalies.”
Source row volume analysis by partition
“Run a grouped numeric summary on source_rows for these 200 join coverage records, and filter to rows where source_rows is between 0 and 50, grouped by dataset_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-088?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytical views — grouped aggregation and numeric range filtering — on join coverage data in a single $0.01 call. It is ideal for ETL monitoring, data quality audits, and join completeness checks where you already have the raw records and need fast local computation without external data dependencies.
Side effects
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- Array exceeding 200 items is rejected
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- minimum greater than maximum may yield an empty interval filter result
- Null numeric values in matched_rows or source_rows may be excluded from summary statistics
- Payment failure (insufficient USDC) prevents endpoint execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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