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Pipeline Durations Analytics — Numeric Row Ordering & Weighted Mean
x402
Pipeline Durations Analytics — Numeric Row Ordering & Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes numeric row ordering and secondary-measure weighted mean for pipeline duration records (run_seconds, processed_rows) on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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) numeric row ordering of the supplied pipeline records ranked by the selected field (run_seconds or processed_rows), and (2) a secondary-measure weighted mean where the chosen field is averaged using the other measure as weights. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
ETL job duration ranking
“I have a list of ETL pipeline runs with their durations and rows processed — can you give me a numeric ordering of the runs by run_seconds and also compute the weighted mean of run_seconds using processed_rows as the weight? Runs: job-A on 2024-03-01, team-alpha, 450 seconds, 2000 rows; job-B on 2024-03-02, team-beta, 300 seconds, 1500 rows; job-C on 2024-03-03, team-alpha, 600 seconds, 5000 rows.”
Data pipeline performance summary
“Here are 5 pipeline execution records from last week — please rank them numerically by processed_rows and calculate the weighted mean of processed_rows weighted by run_seconds: pipe-1, 2024-06-10, group-x, 80s, 400 rows; pipe-2, 2024-06-11, group-y, 150s, 900 rows; pipe-3, 2024-06-12, group-x, 60s, 200 rows; pipe-4, 2024-06-13, group-z, 200s, 1200 rows; pipe-5, 2024-06-14, group-y, 120s, 700 rows.”
Cross-group pipeline comparison
“Can you order these pipeline runs across two dataset groups by run_seconds and compute a weighted mean of run_seconds using processed_rows? batch-1, 2024-09-01, finance, 500s, 10000 rows; batch-2, 2024-09-02, marketing, 350s, 7000 rows; batch-3, 2024-09-03, finance, 420s, 8500 rows; batch-4, 2024-09-04, marketing, 280s, 5000 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline execution records with duration and row-count fields and need both a numeric ranking of runs and a rows-weighted mean computed locally without any external data calls. Ideal for data engineers analyzing ETL performance across groups where you want two complementary statistical views (ordering + weighted average) in a single cheap call ($0.01 USDC for up to 200 rows).
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause validation errors
- Null values in run_seconds or processed_rows may affect weighted mean computation
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Invalid field enum value (not run_seconds or processed_rows) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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