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Pipeline Durations Analytics — Equal-Width Histogram & Date-by-Category Pivot
x402
Pipeline Durations Analytics — Equal-Width Histogram & 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 2026-10-14).
Generates two local analytical reports on pipeline duration data: an equal-width histogram of a chosen numeric field and a date-by-category pivot table, both computed server-side from supplied rows without any external data lookup.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Equal-width histogram + Date by category pivot: Equal-width histogram + 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
Returns two reports computed from the supplied rows: (1) an equal-width histogram breaking the selected numeric field (run_seconds or processed_rows) into up to 30 bins with frequency counts per bin, and (2) a date-by-category pivot table aggregating values across dataset_group and date dimensions. Both reports use only the submitted data with no external lookups.
Example use cases
ETL job duration distribution audit
“I have logs from our nightly ETL jobs — about 150 rows each with a run_seconds value, a dataset_group label, and a date. Can you build a 10-bin histogram of run_seconds and also pivot the data by date and dataset_group so I can see patterns?”
Processed rows spread across pipeline groups
“Here are 80 pipeline run records with processed_rows counts across two dataset groups over the last month. Generate a 5-bin equal-width histogram on processed_rows and a date-by-category pivot so I can see which groups processed the most on each day.”
Pipeline performance comparison for sprint review
“I'm preparing for our sprint review and need to summarize pipeline performance. I have 60 records with run_seconds and dataset_group labels. Can you compute an 8-bin histogram of run_seconds and pivot them by date and group so the team can spot slow days?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pipeline run records and need both a distribution histogram and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for data engineers who want quick offline statistical summaries without setting up a BI tool, and when no live data lookup or prediction is required — only supplied-data analytics.
Side effects
- Rows array exceeds 200-item limit — request rejected
- Invalid date format (not YYYY-MM-DD) in any row — validation error
- bins value outside 1–30 range — rejected
- Null values in selected numeric field may affect histogram accuracy
- Missing required fields (row_id, dataset_group, date) in any row — schema validation error
- Numeric values outside ±1e12 range — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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