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Data Freshness Duplicate Key Report and Numeric Row Ordering
x402
Data Freshness Duplicate Key Report and 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 2026-10-12).
Generates a duplicate key report and numeric row ordering analysis for up to 200 data freshness records containing age_minutes and record_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data freshness — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering for supplied data freshness records (age_minutes, record_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a duplicate key report identifying any repeated keys among the supplied row records, and (2) a numeric row ordering ranking the rows by the selected numeric field (age_minutes or record_count). Results are computed locally from the supplied data with no external lookups.
Example use cases
Pipeline freshness duplicate audit
“I have a list of 50 data freshness records from my ETL pipeline — each has a row_id, dataset_group, date, age_minutes, and record_count. Can you run a duplicate key report on them and also rank them numerically by age_minutes so I can see which datasets are most stale?”
Record count ordering for data monitoring
“Here are 30 freshness tracking rows from my monitoring system with row IDs, groups, dates, age in minutes, and record counts. Give me a duplicate key report and order them numerically by record_count so I know which groups have the most records.”
QA check for freshness data ingestion
“I just ingested a batch of 80 data freshness rows and want to make sure there are no duplicate keys before I process them further — can you run the duplicate key report and also give me a numeric row ordering by age_minutes for those rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-06-058?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and numeric ordering on data freshness records (age_minutes, record_count) in a single low-cost call. It is purpose-built for data freshness monitoring data and operates entirely on supplied data with no external dependencies, making it fast, deterministic, and privacy-safe. Ideal for ETL quality checks, pipeline audits, or data freshness dashboards with up to 200 rows.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, dataset_group, date, age_minutes, record_count) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Invalid field enum value (must be age_minutes or record_count) — rejected
- Empty rows array — rejected
- Payment not included or insufficient — 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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