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Join Coverage Analytics: Base-100 Series + Date-by-Category Pivot
x402
Join Coverage Analytics: Base-100 Series + Date-by-Category Pivot 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).
Generates two local analytical reports — a Base-100 indexed time series and a Date × Category pivot table — from supplied join coverage data (matched_rows, source_rows).
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 Base-100 indexed time series normalizing the selected metric (matched_rows or source_rows) relative to the chosen base row index, and (2) a Date × dataset_group pivot table breaking down coverage values by date and category. No external lookups or predictions are made; all computation is performed on the provided data.
Example use cases
ETL pipeline join rate monitoring
“I've got daily join coverage records for two pipelines over the past week — can you index matched_rows to base-100 starting from the first row and also pivot them by date and pipeline group so I can see coverage trends at a glance?”
Data quality regression analysis
“Our join coverage dropped last quarter — please run a base-100 series and a date-by-category pivot on source_rows for these 50 records across our three dataset groups so I can see where the regression started.”
Cross-dataset group coverage comparison
“I want to compare join coverage between group-a and group-b over the last month — can you generate the base-100 indexed series and the date-by-category pivot for matched_rows on my 80 rows of coverage data, with base index set to 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected join coverage data (matched_rows, source_rows) and need both a normalized Base-100 trend series and a Date × Category pivot in a single call without sending data to an external analytics platform. Ideal for data engineers and pipeline operators who want lightweight, privacy-preserving local analytics on up to 200 rows for $0.01 USDC. Not suitable if you need live data fetching, predictive modeling, or more than 2 report types per call.
Side effects
- Fewer than 1 or more than 200 rows supplied — returns validation error
- Invalid date format (non YYYY-MM-DD) on any row — schema rejection
- base_index out of range (≥ number of rows supplied) — index error
- Null values in matched_rows or source_rows may affect normalization calculations
- Missing required fields (row_id, dataset_group, date) — schema validation failure
- Non-numeric values where numbers expected — type coercion error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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