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Null Coverage Analytics — Daily Sum Series & Secondary-Measure Weighted Mean
x402
Null Coverage Analytics — Daily Sum Series & Secondary-Measure Weighted Mean 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 secondary-measure weighted mean from 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 + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean 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 derived from the supplied null coverage rows: (1) a daily sum series aggregating the selected field (missing_values or total_values) by date, and (2) a secondary-measure weighted mean across the records. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Daily missing-data trend for pipeline audit
“Here are 10 days of pipeline null coverage records with missing_values and total_values for groups A and B — can you compute the daily sum series and weighted mean so I can see which days had the most missing data?”
Data quality report for two dataset groups
“I've got about 50 rows of null coverage records spanning October 2026, split across two dataset groups. Run the daily sum and weighted mean analytics on the missing_values field so I can compare data completeness across the groups.”
Completeness check before model training
“Before I train my model, I want to understand the null coverage in my feature dataset. I have 150 rows with dates, missing_values, and total_values — can you give me the daily sum series and secondary-measure weighted mean on total_values to flag any problematic days?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected null coverage records (missing_values and total_values per date and dataset group) and need both a daily aggregation time series and a weighted mean in a single paid call. It is ideal for lightweight, offline-style data quality analytics on small-to-medium datasets (up to 200 rows) without needing a live data connection or external database.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, missing_values, total_values) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of allowed enum values ('missing_values','total_values') — rejected
- Payment of 0.01 USDC not processed — 402 response blocking execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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