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Null Coverage Analytics: Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Null Coverage Analytics: Trailing Mean 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 2026-10-18).
Computes trailing mean time series and secondary-measure weighted mean for null coverage data (missing_values, total_values) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Trailing mean series + Secondary-measure weighted mean: Trailing mean 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 independent analytical reports: (1) a trailing mean time series computed over the specified window for the chosen field, and (2) a secondary-measure weighted mean across the supplied null coverage rows. Both reports are derived entirely from the supplied input data with no external lookups or predictions.
Example use cases
Data quality trend monitoring
“I have daily null coverage records for two dataset groups over the past week — can you compute the trailing mean series with a window of 3 and a weighted mean using missing_values so I can see where data completeness is degrading?”
ETL pipeline null rate analysis
“After our ETL run, I've got 50 rows of missing_values and total_values per dataset group by date — please run the trailing mean and weighted mean reports on the missing_values field with a window size of 5 so I can assess pipeline health.”
Monthly data audit summary
“I'm auditing data completeness for October — here are 200 records with row_id, dataset_group, date, missing_values, and total_values. Give me the trailing mean series and secondary-measure weighted mean for total_values with a window of 7.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary statistical summaries — trailing mean series and weighted mean — for null coverage or missing-data records in a single paid call. Ideal for data quality workflows where you have up to 200 date-stamped rows with missing_values and total_values and want local analytical computation without any external data lookups or model inference.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Window size smaller than 2 or larger than 200 — validation error
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values out of allowed range (±1,000,000,000,000) — validation error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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