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Validator Uptime Record Quality Audit and Keyed Dataset Comparison
x402
Validator Uptime Record Quality Audit and Keyed Dataset Comparison 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).
Audits data quality and compares two keyed datasets of validator uptime records (online_minutes, observed_minutes) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 highlighting data issues such as nulls, out-of-range values, or inconsistencies in the supplied uptime rows, and (2) a keyed dataset comparison report showing row-level differences between the two supplied datasets, matched by row_id. No live lookups or external data are used.
Example use cases
Validator uptime data integrity check
“I have two batches of validator uptime logs from different monitoring systems, each with about 80 rows including online_minutes and observed_minutes per day — can you audit both for data quality issues and compare them to flag any discrepancies between the two sources?”
Staking operator daily uptime audit
“We track validator uptime across several instrument groups every day. Can you run a quality audit on today's uptime records (100 rows, with online_minutes and observed_minutes) and compare them against yesterday's records to see what changed or looks suspicious?”
Uptime reporting reconciliation
“I need to reconcile two validator uptime reports from our internal system and a third-party provider — both have the same row IDs and date fields but different online_minutes values. Can you compare them and flag rows where the data quality looks off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a side-by-side keyed comparison of two validator uptime datasets in a single low-cost call. It is purpose-built for uptime records with online_minutes and observed_minutes fields and handles up to 200 rows per dataset. Prefer this over generic data tools when working specifically with validator or infrastructure uptime measurement data and needing structured dual-report output without any live external lookups.
Side effects
- Exceeding 200 rows limit causes rejection or truncation
- Missing required fields (row_id, date, online_minutes, observed_minutes) causes validation error
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Empty rows array (minItems:1 violated) causes error
- Non-numeric values in online_minutes or observed_minutes cause type errors
- Payment failure (insufficient USDC) blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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