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Join Coverage — Numeric Row Ordering + Daily Sum Series
x402
Join Coverage — Numeric Row Ordering + Daily Sum Series 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 numeric row ordering and daily sum time series for join coverage records (matched_rows, source_rows) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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 for the supplied join coverage rows: (1) a numeric row ordering ranking each row by the selected field (matched_rows or source_rows), and (2) a daily sum time series aggregating the selected field by date — all computed locally without external lookups.
Example use cases
Daily sum trend for matched rows
“I have join coverage records from my ETL pipeline for October, with matched_rows and source_rows per day across two dataset groups. Can you compute the numeric row ordering and the daily sum time series for matched_rows so I can see the trend?”
Ranking source rows by dataset group
“Here are my join coverage records with source_rows values across several dates and groups. Give me a numeric row ordering and a daily sum series for source_rows so I can spot which days had the highest volume.”
Validating join completeness over time
“I need to audit our join coverage — I have up to 150 records each with a date, dataset_group, matched_rows, and source_rows. Run the numeric row ordering and daily sum series on matched_rows so I can see whether coverage is improving day over day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-114?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have join coverage tabular data (matched_rows, source_rows) and need both a ranked row ordering and a daily sum time series in a single call for up to 200 rows, without requiring any external data lookups or predictions.
Side effects
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) cause validation errors
- Dates not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit
- Null values for matched_rows or source_rows may affect aggregation results
- Invalid field enum value (not 'matched_rows' or 'source_rows') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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