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Data Freshness Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Data Freshness Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering 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 on supplied data freshness records (age_minutes, record_count): a record quality audit, exact row deduplication, and numeric row ordering — all locally, with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data freshness — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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
Three independent analytical reports: (1) a record quality audit flagging issues such as nulls or out-of-range values in age_minutes and record_count, (2) an exact row deduplication report identifying identical rows, and (3) a numerically ordered version of the input rows sorted by the selected field (age_minutes or record_count). Up to 200 input rows are supported.
Example use cases
Pipeline freshness log quality check
“I have a set of data freshness records from my ETL pipeline — each has a row_id, dataset_group, date, age_minutes, and record_count. Can you audit them for quality issues, flag any exact duplicates, and sort them numerically by age_minutes?”
Deduplication audit for monitoring dataset
“Run a deduplication and quality audit on these 50 freshness monitoring rows I'm uploading. I want to know which rows are exact duplicates and get a quality report, ordering by record_count.”
Ordered freshness snapshot for reporting
“I need three reports on my data freshness snapshot — a quality audit, a duplicate row check, and the rows sorted numerically by record_count. There are about 120 rows with age_minutes and record_count fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-06-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data freshness records and need all three of: a quality audit, exact deduplication, and numeric ordering — bundled at a flat $0.01 USDC cost. Prefer it over general-purpose data tools when working specifically with age_minutes and record_count freshness metrics and needing fast, local, no-external-lookup analytical reports in one call.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, age_minutes, record_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not one of ['age_minutes','record_count'] — rejected
- Empty rows array (minItems:1 not satisfied) — error
- Payment of 0.01 USDC not provided — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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