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Validator Uptime Record Quality Audit and Trailing Mean Series
x402
Validator Uptime Record Quality Audit and Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs two local analytical reports on supplied validator uptime data: a record quality audit and a trailing mean series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series for supplied validator uptime records (online_minutes, observed_minutes). 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 reports: (1) a record quality audit highlighting issues such as nulls, out-of-range values, or inconsistencies in the supplied validator uptime rows; and (2) a trailing mean series computed over the selected field (online_minutes or observed_minutes) using the specified window size, giving a rolling average per row sequence.
Example use cases
Validator uptime data quality check
“I have 120 rows of daily validator uptime records with online_minutes and observed_minutes for several instrument groups. Can you audit them for record quality issues and also compute a trailing mean series with a window of 5 over online_minutes?”
Rolling average for node performance monitoring
“Run a trailing mean series with window size 10 on my observed_minutes field across these 80 validator uptime rows — I want to see the smoothed trend over time for each date and group.”
Pre-reporting data integrity audit
“Before I publish my monthly validator performance report, can you do a record quality audit on these 200 rows of uptime data covering online_minutes and observed_minutes to flag any bad or inconsistent records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously assess the data quality of validator uptime records and compute a rolling mean trend series without any external lookups or live data. It is ideal for offline, batch-style analytical workflows on up to 200 rows of validator uptime data (online_minutes, observed_minutes). Use it when you want two distinct analytical perspectives — quality audit plus trend smoothing — in a single low-cost ($0.01 USDC) call using only your supplied data.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, online_minutes, observed_minutes, instrument_group) cause validation errors
- Invalid date format not matching YYYY-MM-DD pattern
- Window size outside allowed range (2–200)
- All rows contain null values for the selected field, making mean computation impossible
- Malformed JSON input body
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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