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Join Coverage Analytics: Numeric Row Ordering + Explicit Missing-Value Fill
x402
Join Coverage Analytics: Numeric Row Ordering + Explicit Missing-Value Fill 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).
Sorts join coverage records by row order and fills missing matched_rows or source_rows values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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 covering the supplied join coverage rows after applying numeric row ordering and explicit missing-value imputation (zero, mean, or median) on the selected field (matched_rows or source_rows). Each report reflects the cleaned, ordered dataset with nulls replaced by the chosen fill strategy.
Example use cases
ETL pipeline gap filling before reporting
“I'm running an ETL job and some source_rows values are missing in my join coverage table. Sort the rows numerically and fill the nulls in source_rows using mean imputation — here are my 6 records across dataset groups 'sales' and 'returns' from 2026-09-01 to 2026-09-06.”
Data quality audit for matched row completeness
“Can you take my join coverage data for groups 'orders' and 'shipments' — 10 rows from 2026-08-01 to 2026-08-10 — and give me two analytical reports after sorting and filling any missing matched_rows values with zero?”
Pre-analysis dataset standardization across groups
“Before I run my coverage analysis, I need to standardize this 15-row join coverage dataset: sort the rows in numeric order and substitute any null matched_rows using median fill. The data spans groups 'inventory' and 'fulfillment' from 2026-07-01 to 2026-07-15.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have join coverage data (matched_rows and source_rows per dataset group and date) with missing values that need imputation before analysis, and you want numeric row ordering and two analytical reports in a single call for up to 200 rows at minimal cost ($0.01 USDC). It performs entirely on supplied data with no external lookups.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid enum value for method or field parameters
- Empty rows array (minItems:1 not satisfied)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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