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Data Freshness — Numeric Row Ordering & IQR Outlier Flags
x402
Data Freshness — Numeric Row Ordering & IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Ranks rows by age_minutes or record_count and flags IQR-based outliers in supplied data freshness records, producing two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data freshness — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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 analytical reports: (1) rows ordered/ranked by the selected numeric field (age_minutes or record_count), and (2) IQR-based outlier flags identifying which rows fall below Q1-1.5×IQR or above Q3+1.5×IQR. No external lookups or predictions are made — analysis is purely local and deterministic based on the supplied data.
Example use cases
Pipeline freshness anomaly detection
“I have 50 data pipeline records with age_minutes and record_count — can you rank them by age_minutes and tell me which ones are IQR outliers so I can investigate stale feeds?”
Dataset group outlier review
“Here are 30 freshness monitoring rows across two dataset groups. Rank them by record_count and flag any that fall outside the IQR bounds — I need both reports.”
Data quality audit for ingestion jobs
“I'm auditing ingestion job freshness. Can you take these 80 rows with age_minutes and record_count values, order them by age_minutes, and highlight which rows are statistical outliers using IQR?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-06-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data freshness records with age_minutes and/or record_count fields and need both a ranked ordering and IQR-based outlier detection in a single low-cost call ($0.01 USDC). It is ideal for local, deterministic statistical analysis without any external data lookups, predictions, or side effects. Prefer this over generic analytics services when your domain is specifically data pipeline/freshness monitoring and you want two reports (ordering + outlier flags) in one request.
Side effects
- Input array is empty (minItems:1 violated) — validation error
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, dataset_group, age_minutes, record_count) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Field enum value not 'age_minutes' or 'record_count' — rejected
- All values null for selected field — IQR computation may be undefined
- Payment not attached or insufficient (requires 0.01 USDC via x402) — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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