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Validator Uptime Record Quality Audit, String Normalisation & Duplicate Key Report
x402
Validator Uptime Record Quality Audit, String Normalisation & Duplicate Key Report 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 records: a record quality audit, string normalisation, and duplicate key detection — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validator uptime — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 reports returned for the submitted validator uptime rows: (1) a record quality audit highlighting data issues; (2) a string normalisation report showing normalised values for text fields like instrument_group; (3) a duplicate key report identifying rows with conflicting or repeated key combinations. No external lookups or predictions are made — all analysis is local.
Example use cases
Pre-load data quality check
“Before I import these 120 validator uptime rows into our database, can you run a quality audit on the records, normalise the instrument_group strings, and tell me if there are any duplicate row IDs? Here are the rows with date, row_id, instrument_group, online_minutes, and observed_minutes.”
Duplicate key detection in uptime dataset
“I've got a batch of 80 validator uptime records and I suspect there are duplicate row keys across different instrument groups and dates — can you run a duplicate key report on them?”
String normalisation for group labels
“Our validator uptime export has inconsistent instrument_group names across 150 rows — some are capitalised differently or have extra spaces. Can you normalise those strings and give me a report of what changed?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-12-192?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a combined data quality audit, string normalisation, and duplicate key check on validator uptime data (online_minutes / observed_minutes) in a single low-cost call. It is ideal for pre-processing or validation pipelines before ingesting validator uptime records into a database or reporting system. Prefer this over generic data quality tools when your data specifically concerns validator uptime with instrument group segmentation and you want three bundled analytical reports at once.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Row missing required fields (row_id, instrument_group, date, online_minutes, or observed_minutes)
- Date field does not match YYYY-MM-DD pattern
- online_minutes or observed_minutes outside allowed numeric range
- row_id exceeds 80 character maxLength
- Payment of 0.01 USDC not attached or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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