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Join Coverage Analytics: Numeric Interval Filter + Adjacent Row Changes
x402
Join Coverage Analytics: Numeric Interval Filter + 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 2026-10-23).
Analyzes join coverage records (matched_rows, source_rows) by applying a numeric interval filter and detecting adjacent row changes across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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 independent analytical reports for the supplied join coverage rows: (1) a numeric interval filter report identifying which rows have the selected field (matched_rows or source_rows) within the specified minimum/maximum range, and (2) an adjacent row changes report highlighting where consecutive rows show a change in the selected field value. Results cover up to 200 input rows with no external lookups or predictions.
Example use cases
ETL pipeline join coverage audit
“I have join coverage records for two dataset groups across October — can you filter matched_rows between 10 and 50, and also flag any adjacent rows where the value changed, so I can spot anomalies in my ETL pipeline?”
Source row threshold monitoring
“Run an interval filter on source_rows between 1 and 200 and detect adjacent row changes for my join coverage dataset — I have about 80 rows across three groups dated from 2025-01-01 to 2025-03-31.”
Data quality report for matched vs source rows
“I want to check my join coverage data quality: please filter the source_rows field for values between 0 and 500 and show me where values change between consecutive rows, using my 150-row dataset grouped by region and week.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have join coverage tabular data (matched_rows and source_rows per date/group) and need both a numeric range filter and an adjacent-row change detection report in a single call. It is ideal for data engineers and analysts monitoring ETL join quality, data reconciliation pipelines, or coverage drift over time. Prefer this over general-purpose analytics tools when you want two bundled local analytical reports at low cost ($0.01 USDC) without any external data lookups or ML predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) on any row — validation error
- Date fields not matching YYYY-MM-DD format — schema validation failure
- Minimum value greater than maximum value — may produce empty filter results
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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