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Pipeline Durations — Base-100 Series + IQR Outlier Flags
x402
Pipeline Durations — Base-100 Series + 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 2026-10-19).
Computes a Base-100 indexed time series and IQR-based outlier flags for supplied pipeline duration records (run_seconds or processed_rows), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Base-100 series + IQR outlier flags: Base-100 series + 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) a Base-100 indexed time series for the chosen field (run_seconds or processed_rows), with each row's value expressed relative to the baseline row scaled to 100; and (2) IQR outlier flags indicating which rows fall outside the interquartile range bounds. Both reports cover up to 200 supplied rows and are computed locally without any external data lookup.
Example use cases
ETL pipeline slowdown detection
“I have 50 daily ETL pipeline runs with their run_seconds and processed_rows — can you normalize them to a base-100 series from row 0 using run_seconds and flag any IQR outliers so I can see which days had unusually long runs?”
Data ingestion throughput benchmarking
“Take these 120 pipeline records across two dataset groups and give me a base-100 index on processed_rows starting from row 5, plus flag any statistical outliers using IQR — I want to benchmark throughput relative to that baseline.”
Pipeline regression investigation
“My team suspects a regression happened around row 30 in our pipeline logs — can you build a base-100 series on run_seconds starting from row 0 and highlight any IQR outlier runs so I can pinpoint when things went wrong?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you already have pipeline duration data in hand and need both a relative (base-100) time series and IQR-based outlier detection in a single $0.01 call. Ideal for data engineers who want quick statistical context on ETL run times or processed row counts without spinning up a full analytics stack. Prefer this over generic statistics APIs when you specifically need the base-100 normalization pattern combined with IQR flagging for pipeline-shaped data (date + group + numeric duration).
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — hard limit of 200 rows per call
- base_index out of range — must be between 0 and 199 and within the actual row count
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) in any row
- Null values in the selected field may affect IQR computation or indexing
- Payment failure — 0.01 USDC required per call via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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