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Join Coverage Analytics — Numeric Interval Filter + Date by Category Pivot
x402
Join Coverage Analytics — Numeric Interval Filter + Date by Category Pivot 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).
Filters join coverage rows (matched_rows or source_rows) by a numeric interval and produces a date-by-category pivot table, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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 numeric interval-filtered subset of the supplied join coverage rows based on the chosen field (matched_rows or source_rows) and the min/max bounds, and (2) a date-by-category pivot table showing aggregated values broken down by date and dataset_group, all computed locally on the up-to-200 supplied rows without any external lookup.
Example use cases
ETL pipeline join quality review
“I've got join coverage records for two dataset groups over the past week — can you filter the matched_rows field to only show values between 5 and 50, then give me a date-by-category pivot so I can see how each group's join quality changes day by day?”
Data reconciliation interval audit
“I need to audit my source_rows data — filter it to values between 0 and 100 and generate a pivot table breaking down the counts by dataset group and date so I can spot reconciliation gaps across groups.”
Coverage drop investigation by group
“Something looks off in my join coverage — filter the matched_rows field to anything between 0 and 15 and pivot by date and dataset_group so I can see which groups had low coverage and on which days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected join coverage records (matched_rows, source_rows) and need two local analytical reports — a numeric interval filter and a date-by-category pivot — without calling any external data source. Ideal for lightweight, low-cost ($0.01 USDC) on-demand analysis of up to 200 rows of ETL or data pipeline join metrics grouped by dataset category over time.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — may return empty filtered set with no error
- Null values in matched_rows or source_rows — nulls handled per schema but may reduce pivot accuracy
- Missing required fields (row_id, dataset_group, date) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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