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Null Coverage Analytics — Daily Sum Series + Two-Measure Correlation
x402
Null 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 2026-10-14).
Computes a daily sum time series and a two-measure correlation report for user-supplied null coverage data (missing_values, total_values) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation for supplied null coverage records (missing_values, total_values). 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 daily sum series aggregating the selected field (missing_values or total_values) by date, and (2) a two-measure correlation report between missing_values and total_values across all supplied records. No external data is fetched; all computation is performed on the submitted rows (up to 200).
Example use cases
Data quality audit over time
“I have 120 rows of null coverage data across two dataset groups from October 2026 — each row has a date, missing_values, and total_values. Can you compute the daily sum series and correlation between the two measures so I can see how data completeness trended over the month?”
Comparing missing vs total value correlation
“For my dataset quality report, I need to know how strongly missing_values and total_values are correlated across 80 daily records from group-a and group-b. Can you run the two-measure correlation and daily sum on these null coverage rows?”
Pipeline health monitoring summary
“We track data pipeline null coverage daily — I have 200 rows with dates, dataset groups, and both missing and total value counts. Please produce the daily aggregated sum series and a correlation report between missing_values and total_values so I can spot gaps in our pipeline.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected null coverage records (missing_values and total_values) organized by date and dataset group, and need both a daily aggregated time series and a statistical correlation between the two measures in a single low-cost call. Ideal for data quality audits, pipeline health checks, or completeness monitoring workflows where you already hold the raw records and need offline analytical summaries without any live data lookup or external enrichment.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected, exceeds maximum
- Missing required fields (row_id, date, dataset_group) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Null or out-of-range numeric values for missing_values or total_values — may produce incomplete correlation
- Insufficient date variance for meaningful time series — degenerate output possible
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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