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Join Coverage Analytics: Grouped Numeric Summary + Adjacent Row Changes
x402
Join Coverage Analytics: Grouped Numeric Summary + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Analyzes supplied join coverage data (matched_rows, source_rows) producing two reports: a grouped numeric summary by dataset_group and an adjacent row change analysis, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 computed locally from the supplied rows: (1) a grouped numeric summary aggregating matched_rows or source_rows statistics (e.g. count, sum, mean, min, max) by dataset_group, and (2) an adjacent row change analysis showing deltas between consecutive rows for the selected numeric field. No external data is fetched; all computation is on the supplied input.
Example use cases
Auditing join rates across pipeline stages
“I have 50 rows of join coverage data across dataset groups alpha and beta from last month — can you give me a grouped numeric summary and show me where matched_rows changed significantly between adjacent rows? Use matched_rows as the field.”
Detecting anomalous drops in source coverage
“Run the join coverage analysis on my records using source_rows as the field — I want the grouped summary by dataset_group and the adjacent row change report so I can spot any sudden drops in source coverage across my pipeline.”
Validating data warehouse join completeness
“I've got join coverage logs for my warehouse tables — about 120 rows across 4 dataset groups — can you compute the grouped numeric summary and adjacent row changes for matched_rows so I can validate our join completeness before the monthly report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-091?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular join coverage data (matched_rows, source_rows) already in hand and need two fast local analytical reports — a grouped numeric summary and adjacent row changes — without any live data lookup, prediction, or external enrichment. Ideal for data engineers auditing ETL pipelines, validating join completeness, or spotting row-to-row anomalies in up to 200 records at low cost ($0.01 USDC for both reports).
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row — schema validation failure
- Date strings not matching YYYY-MM-DD pattern — pattern validation error
- Numeric values outside ±1,000,000,000,000 range — schema bounds error
- Invalid field selector (not 'matched_rows' or 'source_rows') — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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