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Pipeline Durations – Numeric Interval Filter + IQR Outlier Flags
x402
Pipeline Durations – Numeric Interval Filter + 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 2026-10-16).
Filters pipeline duration records by a numeric interval and flags IQR-based outliers across run_seconds and processed_rows fields, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags for supplied pipeline durations records (run_seconds, processed_rows). 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) records filtered to those whose selected field (run_seconds or processed_rows) falls within the specified [minimum, maximum] interval, and (2) IQR-based outlier flags indicating which records fall outside the interquartile fences — all computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline anomaly detection
“I have 120 pipeline run records with run_seconds and processed_rows — can you filter them to runs where run_seconds is between 10 and 600 and flag any IQR outliers in that field so I know which jobs are abnormally slow or fast?”
Data volume outlier flagging
“Here are 80 daily pipeline records — please apply an interval filter from 0 to 5000000 on the processed_rows field and flag any rows that are IQR outliers, so I can spot days where an unusually large or small batch was processed.”
Multi-group pipeline QA report
“I've got pipeline logs for two dataset groups across the past quarter, about 150 rows total. Can you run the numeric interval filter from 0 to 1800 on run_seconds and generate the IQR outlier report so I can see which runs fall outside normal bounds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pipeline execution records with run_seconds and/or processed_rows fields and need both a numeric range filter and IQR-based outlier detection in a single paid call. It is best suited for offline batch analysis of historical pipeline logs rather than real-time monitoring, and is cost-effective at $0.01 USDC for two reports simultaneously.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, run_seconds, processed_rows) cause rejection
- Minimum greater than maximum produces an empty or ill-defined interval result
- All-null numeric field values may result in degenerate IQR computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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