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Join Coverage Analytics: Numeric Distribution & Category Frequencies
x402
Join Coverage Analytics: Numeric Distribution & Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes numeric distribution statistics and category frequency counts for join coverage data (matched_rows, source_rows) across up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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 distribution summary for the selected field (matched_rows or source_rows), including statistics such as min, max, mean, median, and percentiles; and (2) category frequency counts showing how often each dataset_group value appears across the supplied rows. Both reports are computed locally on the provided data with no external lookups.
Example use cases
ETL pipeline join quality audit
“I have 50 rows of join coverage results from last week's ETL run — can you compute the numeric distribution of matched_rows and tell me how frequently each dataset_group appears? Rows span 2026-09-25 to 2026-10-01 across groups alpha, beta, and gamma.”
Comparing source vs matched row spreads
“Can you run analytics on my join coverage dataset and report the distribution stats for source_rows specifically, plus category frequencies by dataset_group? I've got about 120 records covering groups A through D across October 2026.”
Daily join coverage monitoring summary
“Here are today's join coverage records for our data pipeline — 30 rows from 2026-10-15, groups prod and staging. Can you give me both the matched_rows numeric distribution and the breakdown of how many rows fall into each dataset_group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-072?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, local statistical analysis of join coverage metrics (matched_rows, source_rows) across up to 200 rows, particularly when you want both a numeric distribution and category frequency breakdown in a single low-cost call. Ideal for data engineers monitoring ETL pipeline join quality, auditing match rates by dataset group, or summarizing coverage across date ranges without needing external data enrichment or prediction.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds max item limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation failure
- Invalid field enum value (not matched_rows or source_rows) — schema rejection
- Null values in numeric fields may affect distribution statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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