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Data Freshness Analytics: Record Quality Audit, Exact Row Deduplication & Numeric Distribution
x402
Data Freshness Analytics: Record Quality Audit, Exact Row Deduplication & Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs three independent analytical reports (record quality audit, exact row deduplication, and numeric distribution) on supplied data freshness records containing age_minutes and record_count fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data freshness — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied data freshness records (age_minutes, record_count). 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 reports: (1) a record quality audit highlighting issues such as nulls, invalid values, or malformed fields; (2) an exact row deduplication report identifying fully identical rows; and (3) a numeric distribution report (min, max, mean, percentiles, etc.) for the selected numeric field (age_minutes or record_count). All analysis is performed locally on the supplied rows — no external lookups or predictions are made.
Example use cases
Data pipeline freshness health check
“I have a batch of 50 freshness monitoring records from our ETL pipeline — each has a date, dataset group, age in minutes, and record count. Can you audit them for quality issues, flag any exact duplicate rows, and show me the numeric distribution of age_minutes?”
Deduplication before reporting
“Before I compile my weekly data freshness report, I want to make sure there are no duplicate rows in my dataset of 120 records. Can you run an exact row deduplication check plus a quality audit on all of them, and also give me the distribution of record_count values?”
Dataset group comparison profiling
“I've got freshness records across two dataset groups — group-a and group-b — about 80 rows total. Can you profile them with a record quality audit, deduplicate any exact matches, and show the numeric distribution for age_minutes so I can compare how fresh each group is?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-06-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and numeric distribution — on data freshness records with age_minutes and record_count fields, without requiring any external data sources or live lookups. It is ideal for lightweight, offline profiling of small-to-medium tabular datasets (up to 200 rows) at low cost ($0.01 USDC for all three reports). Prefer it over general-purpose analytics platforms when you need a self-contained, pay-per-call audit with no infrastructure setup.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, age_minutes, record_count) in any row
- Invalid date format (must match YYYY-MM-DD)
- Invalid field enum value (must be age_minutes or record_count)
- Empty rows array (minItems is 1)
- row_id or dataset_group strings exceeding 80 characters
- Numeric values outside allowed range (-1000000000000 to 1000000000000)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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