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Validator Uptime Record Quality Audit, String Normalisation & Base-100 Series
x402
Validator Uptime Record Quality Audit, String Normalisation & Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three local analytical reports on supplied validator uptime rows: record quality audit, string normalisation, and a base-100 index series — no external lookups or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 independent analytical reports returned together: (1) a record quality audit flagging issues such as nulls, out-of-range values, or inconsistent dates across up to 200 uptime rows; (2) a string normalisation report covering instrument_group and other string fields; (3) a base-100 index series for the specified numeric field anchored to the chosen base row.
Example use cases
Validator uptime data quality check
“I have 50 rows of daily validator uptime data with online_minutes and observed_minutes for two node groups — can you run a full record quality audit and string normalisation report on them so I can spot any bad entries or inconsistent labels?”
Base-100 uptime index for node benchmarking
“Take my validator uptime records for nodes alpha-1 and alpha-2 from January 2026 and produce a base-100 index series starting from the first row, using observed_minutes as the field — I want to compare how uptime has moved relative to the baseline.”
Bulk audit before uptime SLA reporting
“Before I generate our monthly SLA report, can you audit these 120 validator uptime rows for quality issues and normalise the instrument group strings? I need all three reports — quality audit, string normalisation, and the base-100 series — to make sure the data is clean.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need batch analytical reporting — quality audit, string normalisation, and base-100 indexing — on locally-supplied validator uptime data (up to 200 rows) in a single low-cost call, with no need for live data, external lookups, or predictive modelling.
Side effects
- Row count exceeds 200 items — request will be rejected
- Missing required fields (row_id, date, online_minutes, observed_minutes, instrument_group) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- base_index out of 0–199 range returns an error
- Null numeric values are permitted but may reduce report completeness
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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