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Join Coverage Analytics: Numeric Distribution + Grouped Numeric Summary
x402
Join Coverage Analytics: Numeric Distribution + Grouped Numeric Summary 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).
Computes a numeric distribution report and a grouped numeric summary for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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) a numeric distribution breakdown of the selected field (matched_rows or source_rows), including spread, frequency, and range statistics; and (2) a grouped numeric summary aggregating that field by dataset_group, showing group-level stats. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline join audit
“I've got 50 rows of join coverage data from my nightly ETL run — each row has a date, a dataset group like 'orders' or 'inventory', and both source_rows and matched_rows counts. Can you give me the numeric distribution and grouped summary for matched_rows so I can see where coverage is low?”
Data quality review by team
“We have join coverage records from three teams — 'finance', 'marketing', and 'ops' — across the past month. Run the numeric distribution and grouped numeric summary on source_rows so I can compare how each team's datasets are performing.”
Pre-merge coverage check
“Before we merge these two datasets, I want to understand the spread and group-level summary of matched_rows across our 120 join coverage records. Can you run both the numeric distribution and grouped summary reports on the matched_rows field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-071?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric distribution and a grouped summary for join coverage metrics (matched_rows or source_rows) in a single low-cost call. It is ideal for data engineers auditing ETL pipeline join quality, where you want statistical spread and group-level breakdowns without writing custom analytics code. Prefer it over generic analytics tools when your data already conforms to the row_id/dataset_group/date/matched_rows/source_rows schema and you want two reports for $0.01 USDC with no external data leaving your payload.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) causes row rejection
- Field selector not one of 'matched_rows' or 'source_rows' causes enum validation error
- Null values in the selected numeric field may affect distribution computations
- Empty rows array (minItems:1 violated) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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