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Null Coverage Analytics — Numeric Distribution & Daily Sum Series
x402
Null Coverage Analytics — Numeric Distribution & 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 2026-10-16).
Generates two local analytical reports (numeric distribution and daily sum time series) for null coverage data (missing_values, total_values) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 numeric distribution of the selected field (missing_values or total_values) showing frequency/spread, and (2) a daily sum time series aggregating the field by date — covering up to 200 input rows with no external lookups or live data.
Example use cases
Data quality audit for ETL pipeline
“I need to analyze null coverage for our ETL pipeline logs — I have up to 180 rows with dates, dataset group names, missing_values, and total_values. Can you generate the numeric distribution and daily sum series for the missing_values field so I can see where gaps are concentrated?”
Daily completeness trend for reporting
“We track data completeness daily across two dataset groups. Can you take my 90 rows of null coverage records — each with a date, group name, missing_values, and total_values — and produce a daily sum series for total_values so we can see the trend over time?”
Missing value distribution across dataset groups
“I want to understand the spread of missing values in my dataset. Here are 60 rows with row IDs, dates, group labels, missing_values, and total_values — please compute the numeric distribution for missing_values so I can see the shape of missingness across the records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-075?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw null coverage records (missing_values and total_values per row with dates and group labels) and need two ready-made statistical reports — a numeric distribution and a daily sum time series — computed locally without any external data lookups, predictions, or professional assessments. It is ideal for data quality audits, completeness monitoring, and batch summaries of up to 200 records at a low flat cost of $0.01 USDC for both reports.
Side effects
- Input array is empty (minItems:1 violated) — request rejected
- More than 200 rows supplied (maxItems:200 violated) — request rejected
- Date field does not match YYYY-MM-DD pattern — validation error
- missing_values or total_values outside allowed range (±1,000,000,000,000) — validation error
- Invalid field enum value (must be 'missing_values' or 'total_values') — rejected
- row_id missing or empty string — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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