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Join Coverage Analytics — Exact Row Deduplication + Numeric Interval Filter
x402
Join Coverage Analytics — Exact Row Deduplication + 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).
Deduplicates exact rows and filters by numeric interval in supplied join coverage records (matched_rows, source_rows), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Exact row deduplication + Numeric interval filter: Exact row deduplication + 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 independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the supplied join coverage rows, and (2) a numeric interval filter report showing which rows fall within the specified minimum–maximum range for the chosen field (matched_rows or source_rows). Both reports are computed locally with no external lookups.
Example use cases
Audit pipeline join coverage for duplicates
“I've got a batch of 50 join coverage rows from our ETL pipeline — can you deduplicate them exactly and also filter source_rows to only keep values between 1 and 500? Here are the records: [row-1, group-a, 2026-10-01, source_rows=1, matched_rows=10], ...”
Validate match rates within acceptable bounds
“Can you run a numeric interval filter on these join coverage records, checking matched_rows between 5 and 200, and also deduplicate any repeated rows? I want to see which records fall outside that range and which ones are exact duplicates.”
Clean dataset before join quality report
“Before I generate our weekly join quality report, can you deduplicate these 120 join coverage rows exactly and filter out any where source_rows is outside the range 0 to 10000? Use source_rows as the field to filter on.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-043?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and numeric interval filtering on join coverage data (matched_rows and source_rows fields) in a single low-cost call. It is ideal for ETL quality checks, pre-report dataset cleaning, and validating join ratios are within expected bounds. Prefer it over general-purpose analytics when your data model specifically tracks matched_rows and source_rows per dataset_group and date.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row
- Date field does not match YYYY-MM-DD pattern
- Numeric values for matched_rows or source_rows outside allowed range (-1e12 to 1e12)
- Invalid field enum value — must be 'matched_rows' or 'source_rows'
- minimum greater than maximum causing empty interval result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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