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Validator Uptime Trailing Mean Series and Two-Measure Correlation
x402
Validator Uptime Trailing Mean Series and Two-Measure Correlation 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).
Computes a trailing mean time series and a two-measure correlation between online_minutes and observed_minutes for up to 200 supplied validator uptime records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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 analytical reports: (1) a trailing mean time series for the selected field (online_minutes or observed_minutes) over the specified window, and (2) a Pearson or equivalent correlation between online_minutes and observed_minutes across the supplied rows. Results are computed locally on the provided data with no external lookups.
Example use cases
Validator uptime trend smoothing
“I have 90 days of validator uptime logs with online_minutes and observed_minutes per day. Can you compute a trailing mean series over a 14-day window on online_minutes to smooth out the noise and show me the trend?”
Correlation between online and observed time
“For my set of 50 validator records across two groups, run the two-measure correlation between online_minutes and observed_minutes — I want to know how strongly these two metrics track each other.”
Multi-group validator performance analytics
“I've got uptime data for validators in group-alpha and group-beta over the last 30 days. Run both the trailing mean series with window 5 and the correlation report on observed_minutes so I can compare performance across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw validator uptime records (online_minutes, observed_minutes) and need both a smoothed time-series view and a statistical correlation between the two metrics in a single paid call. It is well-suited for offline/batch analytics on pre-collected data where no live lookup, prediction, or external enrichment is needed, and when cost efficiency (two reports per $0.01 call) matters.
Side effects
- Fewer than the minimum window size rows provided — trailing mean cannot be computed for early rows
- rows array is empty or missing — returns validation error
- date field not in YYYY-MM-DD format — schema validation failure
- online_minutes or observed_minutes contains all nulls — correlation undefined
- More than 200 rows submitted — request rejected with maxItems error
- window parameter set below 2 or above 200 — rejected by schema constraints
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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