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Pipeline Durations Analytics — Numeric Distribution + Date by Category Pivot
x402
Pipeline Durations Analytics — Numeric Distribution + Date by Category Pivot 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).
Generates two statistical reports (numeric distribution and date-by-category pivot) for pipeline duration data (run_seconds and processed_rows) supplied by the caller, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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
Two analytical reports: (1) a numeric distribution report showing the statistical spread of the selected field (run_seconds or processed_rows), including bin/histogram-style breakdowns; and (2) a date-by-category pivot that cross-tabulates values by date and dataset_group. Both are computed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline performance audit
“I have 150 pipeline run records with fields row_id, dataset_group, date, run_seconds, and processed_rows. Can you give me the numeric distribution and date-by-category breakdown for run_seconds so I can see where our slowest runs cluster?”
Processed row count distribution by group
“Here are my pipeline execution logs for the last quarter — 200 rows each with a row_id, dataset_group, date, and processed_rows count. Pivot them by date and category and show me the distribution of processed_rows.”
Daily pipeline throughput trend analysis
“Can you analyze these 80 pipeline run records and show me a numeric distribution plus a date-by-group pivot for the processed_rows field? I want to understand how throughput varies across our dataset_groups over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-083?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline execution records with run_seconds and/or processed_rows metrics and need both a numeric distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). It is ideal for offline, supplied-data analytics where no live lookup or external data fetch is needed and the dataset fits within 200 rows.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) in any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Field selector not one of 'run_seconds' or 'processed_rows' — enum validation error
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Empty rows array — minimum items violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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