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Validator Uptime Data Quality Audit, Deduplication & Daily Sum Series
x402
Validator Uptime Data Quality Audit, Deduplication & Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three analytical reports on supplied validator uptime records: a record quality audit, exact row deduplication, and a daily sum time series for online_minutes or observed_minutes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum 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
Returns three independent analytical reports: (1) a record quality audit identifying missing values, type mismatches, and malformed dates across supplied rows; (2) an exact row deduplication report listing duplicate row groups; and (3) a daily sum time series aggregating the selected field (online_minutes or observed_minutes) by date. All computed locally with no external data lookups.
Example use cases
Validator data integrity check before reporting
“I have 50 rows of validator uptime data for October with online_minutes and observed_minutes per day per group — can you run a quality audit to flag any nulls or malformed dates, deduplicate exact duplicate rows, and give me a daily sum of online_minutes across all groups?”
Deduplication audit after log ingestion
“My validator uptime pipeline may have introduced duplicate rows — please run an exact deduplication report on these 120 rows of uptime records (with row_id, instrument_group, date, online_minutes, observed_minutes) so I can see which rows are repeated before I commit them to the database.”
Daily observed_minutes aggregation for validator fleet
“Can you compute a daily sum series for observed_minutes across my validator fleet? I'll supply up to 180 rows of uptime records grouped by instrument_group and date — I also want the quality audit and dedup reports included in the same run.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-215?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 rows of validator uptime records and need all three of a quality audit, deduplication check, and daily aggregation in a single low-cost call. Prefer it over general-purpose data tools when you want a bundled, purpose-built report for online_minutes/observed_minutes data without setting up local analytical infrastructure. It is not suitable for live validator monitoring, predictions, or datasets larger than 200 rows.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, instrument_group, online_minutes, observed_minutes) cause row-level failures
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- field enum value other than 'online_minutes' or 'observed_minutes' is rejected
- Empty rows array fails minItems constraint
- Payment of 0.01 USDC not provided results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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