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Join Coverage Analytics: Numeric Interval Filter + Keyed Dataset Comparison
x402
Join Coverage Analytics: Numeric Interval Filter + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Analyzes join coverage data by applying numeric interval filtering and comparing two keyed datasets (rows vs other) across matched_rows and source_rows metrics, returning 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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
Two analytical reports: (1) a numeric interval filter report showing the distribution and segmentation of the selected field (matched_rows or source_rows) across the primary dataset, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets matched by row_id, dataset_group, and date. Both reports are computed locally without external lookups.
Example use cases
ETL pipeline join quality audit
“I ran a data join yesterday and today and want to compare join coverage: here's my primary dataset with row_id, date, dataset_group, matched_rows, and source_rows, and a second dataset from last week. Analyze the matched_rows field with an interval filter and compare the two datasets by key.”
Dataset group coverage drift detection
“I have two snapshots of join results — one from before a schema change and one after — both with matched_rows and source_rows by dataset_group and date. Can you compare them and flag where coverage has changed using a keyed dataset comparison?”
Source row match rate analysis by group
“Here are up to 200 rows of join coverage data split into group-a and group-b, with matched_rows and source_rows per day. Run the numeric interval filter and keyed comparison on source_rows so I can see which groups have low match rates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to perform offline, local analytical computation on join coverage data — specifically numeric interval segmentation plus keyed cross-dataset comparison — without any external data lookups or live predictions. Ideal for data engineers auditing ETL pipeline join completeness, comparing two snapshots of join results by group and date, or evaluating match rates across dataset groups. At $0.01 USDC for 2 reports covering up to 200 rows, it is cost-effective for routine data quality checks.
Side effects
- More than 200 rows submitted — returns validation error
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — returns schema validation error
- Date not in YYYY-MM-DD format — rejected by pattern validation
- Invalid field enum value (not matched_rows or source_rows) — returns error
- Empty rows array — rejected by minItems:1 constraint
- Numeric values outside ±1,000,000,000,000 range — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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