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Pipeline Durations Analytics: Base-100 Series + Date-by-Category Pivot
x402
Pipeline Durations Analytics: Base-100 Series + 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 2026-10-22).
Generates two analytical reports — a Base-100 indexed time series and a date-by-category pivot table — from supplied pipeline duration records (run_seconds, processed_rows).
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Base-100 series + Date by category pivot: Base-100 series + 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 independent analytical reports: (1) a Base-100 indexed time series showing relative change in the selected metric (run_seconds or processed_rows) over time, rebased to the specified index row; and (2) a date-by-category pivot table aggregating the metric across dataset_group and date dimensions. Covers up to 200 input rows.
Example use cases
ETL pipeline performance trend analysis
“I have up to 50 rows of daily ETL run data with columns date, dataset_group, and run_seconds. Index the run_seconds to Base-100 starting at row 0 and also give me a pivot showing run_seconds by date and group so I can spot which group is slowing down.”
Data throughput comparison across groups
“Here are my pipeline records with processed_rows, dates, and dataset groups. Can you generate a Base-100 series for processed_rows from the first record and a date-by-category pivot so I can compare throughput trends across groups?”
Baseline deviation report for ops review
“I want to share a pipeline health report with my team. Run the Base-100 series and date-by-category pivot on these 120 pipeline records using run_seconds, with the base index set to row 5 so we normalize against a known stable run.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline duration or throughput records and need both a normalized trend index and a categorical pivot in a single low-cost call. It is purpose-built for pipeline metrics (run_seconds, processed_rows) with a fixed schema, making it faster and cheaper than general-purpose analytics tools for this specific use case. Not suitable for live data lookup, predictions, or datasets exceeding 200 rows.
Side effects
- Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) cause row rejection or error
- More than 200 rows submitted — only up to 200 are processed
- Invalid date format (not YYYY-MM-DD) may cause parsing failures
- base_index out of range for the provided dataset returns an error
- Null values in the selected metric field may produce gaps in the Base-100 series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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