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Join Coverage Analytics — Daily Sum Series & Two-Measure Correlation
x402
Join Coverage Analytics — Daily Sum Series & Two-Measure Correlation 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 a daily sum time series and two-measure correlation analysis for join coverage data (matched_rows vs source_rows) supplied by the caller, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 derived from the supplied row data: (1) a daily sum time series aggregating the selected field (matched_rows or source_rows) by date, and (2) a two-measure correlation analysis between matched_rows and source_rows — all computed locally from provided data with no external lookups.
Example use cases
Daily join hit rate trending
“I have a week of join pipeline records for two dataset groups — can you compute the daily sum of matched_rows over time and tell me how correlated matched_rows and source_rows are across those days?”
Source vs matched row correlation audit
“I want to understand whether my source row counts drive my matched row counts — run me a two-measure correlation between source_rows and matched_rows using this dataset, and also give me the daily totals for source_rows.”
Multi-group join coverage summary
“I've got join coverage records from three dataset groups over the past month, up to 150 rows. Can you give me a daily sum series and a correlation report for matched_rows vs source_rows so I can spot any coverage gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already-collected join coverage data (matched_rows and source_rows per date and group) and need both a daily aggregated time series AND a correlation analysis in a single low-cost call. It is ideal for data engineers auditing join pipeline quality over time who want two complementary analytical views without building their own stat engine. Prefer it over single-report alternatives when both time series and correlation are needed together.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array not accepted (minItems: 1)
- Payment not included or incorrect amount results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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