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Validator Uptime Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Validator Uptime Record Quality Audit + String Normalisation + Numeric Interval Filter 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).
Performs three local analytical reports on validator uptime records: record quality audit, string normalisation, and numeric interval filtering of online_minutes or observed_minutes fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied validator uptime records (online_minutes, observed_minutes). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three structured analytical reports for the supplied validator uptime rows: (1) a record quality audit identifying malformed, missing, or inconsistent fields; (2) a string normalisation report for text fields like instrument_group; and (3) a numeric interval filter report flagging rows where the selected field (online_minutes or observed_minutes) falls outside the specified minimum/maximum range. All computed locally with no external lookups.
Example use cases
Validator uptime data quality check
“I have 80 rows of validator uptime data with online_minutes and observed_minutes. Can you audit them for record quality issues, normalise the instrument_group strings, and filter out rows where online_minutes falls outside the range 0 to 1440?”
Detecting out-of-range observed minutes
“Run a numeric interval filter on my validator uptime dataset — 120 rows — checking the observed_minutes field and flagging anything outside 0 to 1440. Also include the record quality audit and string normalisation reports.”
Pre-reporting data cleanup for validator stats
“Before I generate my monthly validator performance report, can you clean up this batch of 150 uptime records? I need a string normalisation pass on instrument_group, a quality audit for missing or malformed fields, and a filter on online_minutes between 0 and 10080.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous offline analytical reports (quality audit, string normalisation, numeric interval filter) on validator uptime data without any live data lookup, prediction, or external action. It is cost-effective at $0.01 USDC for all three reports on up to 200 rows. Prefer this over general-purpose data tools when your data is specifically validator uptime records with online_minutes and observed_minutes fields and you want a bundled multi-report result in one call.
Side effects
- Fewer than 1 row provided — rejected by schema minItems
- More than 200 rows provided — rejected by schema maxItems
- Invalid date format (not YYYY-MM-DD) — row fails validation
- Field enum value not 'online_minutes' or 'observed_minutes' — request rejected
- Minimum greater than maximum — may produce empty filter results or error
- Null numeric values in online_minutes or observed_minutes — handled as missing, may affect audit report
- Payment not provided or insufficient — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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