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Pipeline Durations Grouped Numeric Summary with IQR Outlier Flags
x402
Pipeline Durations Grouped Numeric Summary with 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).
Computes grouped descriptive statistics and IQR-based outlier flags for pipeline duration records (run_seconds, processed_rows) across dataset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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 grouped numeric summary (e.g. count, mean, median, min, max, std dev) of the chosen metric (run_seconds or processed_rows) broken down by dataset_group, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range. Up to 200 rows supported per call.
Example use cases
Detecting slow ETL job outliers
“I have 50 daily ETL pipeline runs across three dataset groups — can you group them and flag any run_seconds values that look like outliers using IQR? Here are the records with row IDs, dates, group names, run times, and processed row counts.”
Monitoring batch pipeline performance
“Every night our batch jobs run across groups like 'sales-data' and 'inventory-data' — can you compute a grouped numeric summary for processed_rows across these groups and flag any records that fall outside the IQR bounds so I know which jobs processed an unusual number of rows?”
QA report on pipeline duration variance
“We're doing a QA review of last month's pipeline executions. Can you take these 120 pipeline duration records and give me a grouped statistical summary of run_seconds by dataset group, including IQR outlier flags so we can spot which runs were abnormally long or short?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline execution records with group labels and need both descriptive group-level statistics and IQR-based outlier detection in a single call, without needing external data lookups or ML-based anomaly detection. Ideal for data engineers auditing ETL job performance, batch pipeline QA, or monitoring run time variance across dataset groups with up to 200 records.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Invalid field enum value (must be 'run_seconds' or 'processed_rows') — rejected request
- All null values for selected metric — no computable statistics
- Payment not received — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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