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Validator Uptime Two-Measure Correlation + Explicit Missing-Value Fill
x402
Validator Uptime Two-Measure Correlation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes Pearson/Spearman correlation between online_minutes and observed_minutes for validator uptime records, and fills missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 two-measure correlation report showing the statistical relationship (e.g. Pearson/Spearman coefficient) between online_minutes and observed_minutes across the supplied rows; and (2) an explicit missing-value fill report showing which rows had nulls in the specified field and what values were imputed using the chosen method (zero, mean, or median). No external data is fetched; all computation is local.
Example use cases
Validator uptime correlation audit
“I've got daily validator uptime records for the past 6 months, up to 180 rows, with online_minutes and observed_minutes per group. Run a two-measure correlation between those fields and fill any missing online_minutes values using the median — I want both reports.”
Staking pool data quality check
“Before I publish our staking pool uptime dashboard, can you fill missing observed_minutes values using mean imputation and compute the correlation between online_minutes and observed_minutes across our validator groups? I have about 90 rows of data.”
Multi-group validator performance analysis
“We're comparing uptime across multiple instrument groups — I have 200 rows with online_minutes and observed_minutes, but some observed_minutes are null. Please fill those with zero and then show me the correlation between the two measures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both statistical correlation analysis and missing-value imputation for validator uptime data (online_minutes vs observed_minutes) in a single low-cost call. It is ideal for offline/batch analytical workflows on datasets up to 200 rows where no live blockchain lookup, external prediction, or real-time monitoring is needed. Prefer it over generic analytics platforms when the data is already structured in the expected schema and you want a simple, reproducible, fully local computation at minimal cost ($0.01 USDC for 2 reports).
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — request rejected with row limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Both online_minutes and observed_minutes are entirely null — correlation cannot be computed
- Unknown fill method enum value — rejected by schema validation
- Row missing required fields (row_id, instrument_group, date) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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