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Validator Uptime Record Quality Audit + Secondary-Measure Weighted Mean
x402
Validator Uptime Record Quality Audit + 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 2026-10-25).
Audits the quality of validator uptime records and computes a secondary-measure weighted mean, delivering two independent analytical reports for up to 200 rows of online/observed minutes data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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 independent analytical reports: (1) a record quality audit covering completeness, anomalies, and data integrity issues in the supplied validator uptime rows; and (2) a secondary-measure weighted mean computed for the chosen field (online_minutes or observed_minutes) across all supplied rows, weighted by the other measure. Up to 200 rows are processed per call.
Example use cases
Blockchain validator uptime quality audit
“I have 150 rows of daily validator uptime data with online_minutes and observed_minutes per group. Can you run a record quality audit on them and also give me the weighted mean of online_minutes, using observed_minutes as the weight?”
Staking pool performance data review
“We track uptime for several staking instrument groups by date. Can you check our records for quality issues and compute a secondary-measure weighted mean of observed_minutes across all our validator entries?”
Spot-checking validator monitoring data completeness
“Before I report on our validators' performance, can you audit these uptime records for missing values or anomalies and compute the weighted mean of online_minutes? I have about 80 rows covering multiple groups across October.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular validator uptime data (online_minutes, observed_minutes) and need both a structured data quality audit and a weighted mean statistic in a single call, without requiring live lookup, external data enrichment, or predictive modeling. Ideal for batch offline analysis of up to 200 rows at low cost.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, online_minutes, observed_minutes) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in both online_minutes and observed_minutes for a row may degrade weighted mean accuracy
- Payment of 0.01 USDC not completed triggers 402 response and no report is generated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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