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Join Coverage Grouped Numeric Summary with Missing-Value Fill
x402
Join Coverage Grouped Numeric Summary with 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 2026-10-11).
Computes grouped numeric statistics for join coverage data (matched_rows, source_rows) and fills missing values using a chosen imputation method, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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
Two analytical reports: (1) a grouped numeric summary of the chosen field (matched_rows or source_rows) broken down by dataset_group, and (2) an explicit missing-value fill report showing imputed values using the selected method (zero, mean, or median). Both reports are computed locally from supplied data with no external lookups.
Example use cases
Daily join coverage audit by group
“Here are my join coverage records for October — each row has a dataset_group, date, matched_rows, and source_rows. Can you give me a grouped numeric summary for matched_rows and fill any nulls with the median?”
Zero-fill missing source rows before pipeline
“I need to prep my join coverage data before a pipeline run. Can you summarize source_rows by dataset group and replace any missing values with zero so nothing breaks downstream?”
Comparing match rates across two groups
“I've got join coverage data for group-a and group-b across the past week. Summarize matched_rows by group and use mean imputation to handle any gaps — I want two clean reports back.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-099?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped numeric summary AND missing-value imputation for join coverage data (matched_rows/source_rows) in a single $0.01 call, with up to 200 rows and no need for external data lookups or live predictions. Ideal for ETL pipeline QA, data quality checks on join operations, or pre-processing steps where nulls must be handled before downstream analysis.
Side effects
- Rows array empty or missing — minItems:1 not met
- More than 200 rows submitted — maxItems:200 exceeded
- Invalid date format — must match YYYY-MM-DD pattern
- Unknown field value — must be 'matched_rows' or 'source_rows'
- Unknown method value — must be 'zero', 'mean', or 'median'
- row_id missing or empty string — minLength:1 required
- Payment not included or insufficient — $0.01 USDC required per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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