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Join Coverage — Category Frequencies + Two-Measure Correlation
x402
Join Coverage — Category Frequencies + Two-Measure Correlation 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 by computing category frequency distributions and Pearson/rank correlation between matched_rows and source_rows measures.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 category frequency table showing how often each dataset_group value appears in the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between matched_rows and source_rows across all records. Both reports are derived entirely from the supplied data with no external lookups.
Example use cases
ETL pipeline join quality check
“Here are 50 rows from our daily ETL join — each row has a dataset_group, matched_rows, and source_rows for dates in Q3 2025. Can you show me how often each group appears and whether matched_rows and source_rows are correlated?”
Multi-group join coverage profiling
“I have join coverage data across four dataset groups — alpha, beta, gamma, delta — with matched and source row counts for every day in November 2025. Give me the frequency breakdown per group and tell me how strongly correlated the two row-count measures are.”
Detecting join skew across datasets
“We suspect one dataset group is dominating our joins and skewing the match counts. Can you compute category frequencies and the correlation between matched_rows and source_rows for these 120 join coverage records so we can see where the skew is?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency breakdown and a two-measure numeric correlation on join coverage data (matched_rows vs source_rows) in a single paid call. It is ideal for data engineers who want a quick dual-report on up to 200 join records without building their own analytics pipeline. Prefer it over single-report siblings when both category profiling and correlation are needed simultaneously.
Side effects
- Fewer than 1 row supplied — rejected by minItems:1 constraint
- More than 200 rows supplied — rejected by maxItems:200 constraint
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error
- date field does not match YYYY-MM-DD pattern — validation error
- matched_rows or source_rows outside ±1e12 range — validation error
- Payment of 0.01 USDC not completed — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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