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Null Coverage Analytics — Daily Sum Series & Adjacent Row Changes
x402
Null Coverage Analytics — Daily Sum Series & Adjacent Row Changes 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 two local analytical reports (daily sum series and adjacent row changes) on user-supplied null coverage records (missing_values, total_values) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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: (1) a daily sum series aggregating the selected field (missing_values or total_values) by date, and (2) adjacent row changes showing differences between consecutive rows — all derived from the supplied data, with no external lookups.
Example use cases
Daily missing-value audit for a data pipeline
“I've got a list of daily pipeline records with missing_values and total_values for each date — can you generate a daily sum series and show me how missing_values change between consecutive rows so I can spot where data gaps spiked?”
Dataset completeness trend review
“I need to analyze null coverage across two dataset groups over October — here are 50 rows with date, dataset_group, missing_values, and total_values. Please run the daily sum series and adjacent row changes report on the total_values field.”
Pre-release data quality check
“Before we ship this dataset, can you compute the daily aggregated totals and the row-to-row differences in missing_values for these 120 records so we can confirm there are no sudden jumps in null coverage?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-137?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have user-supplied null coverage records (missing_values, total_values) organized by date and need two specific analytical outputs — daily sum series and adjacent row changes — computed entirely from your data without any external lookup, prediction, or live data dependency. Ideal for data quality audits, pipeline monitoring, and completeness trend analysis on batches up to 200 rows at very low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, dataset_group, missing_values, or total_values) — validation error
- Date not in YYYY-MM-DD format — pattern validation failure
- Null or out-of-range numeric values exceeding ±1,000,000,000,000 — schema rejection
- Invalid field enum value (must be 'missing_values' or 'total_values') — parameter error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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