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Null Coverage Analytics: Trailing Mean Series + Equal-Width Histogram
x402
Null Coverage Analytics: Trailing Mean Series + Equal-Width Histogram 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 a trailing mean time series and an equal-width histogram over user-supplied null coverage data (missing_values and total_values fields) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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: (1) a trailing mean time series computed over the selected field (missing_values or total_values) using the specified rolling window, and (2) an equal-width histogram dividing the same field's values into the specified number of bins with counts per bin. Both reports are derived entirely from the supplied row data with no external lookups.
Example use cases
Data quality trend monitoring
“I've got 90 rows of daily dataset records with missing_values and total_values. Can you run a trailing mean series with a window of 5 and a 10-bin histogram on missing_values so I can see how null coverage has trended over the past quarter?”
Pipeline completeness audit
“We're auditing data completeness for two groups — 'prod' and 'staging'. I have 60 rows with missing_values and total_values per date. Generate a trailing mean (window=3) and an equal-width histogram with 8 bins on total_values so we can compare volume patterns.”
Weekly missing-data snapshot for reporting
“For our weekly data quality report, can you take these 30 rows of null-coverage records and produce a trailing mean series with window 2 and a 5-bin histogram on missing_values so I have a clear distribution and trend to share with the team?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected null coverage records (missing_values + total_values per row) and need two lightweight statistical summaries — a rolling mean trend and a frequency histogram — without any external data fetching, prediction, or professional interpretation. Ideal for data quality pipelines, audit reports, and monitoring dashboards where you want fast, local-only analytics at minimal cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Window size larger than the number of rows — trailing mean may be undefined or partial
- bins parameter outside 1–30 range — validation error
- missing required fields (row_id, date, missing_values, total_values) in any row — schema validation failure
- date strings not matching YYYY-MM-DD pattern — parsing error
- total_values or missing_values outside allowed numeric range — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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