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Pipeline Durations — Numeric Row Ordering + Trailing Mean Series
x402
Pipeline Durations — Numeric Row Ordering + Trailing Mean Series 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 a trailing moving-average series for pipeline duration records (run_seconds or processed_rows) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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 numeric row ordering of the supplied pipeline records, and (2) a trailing moving-average series computed over the specified window size for the chosen field (run_seconds or processed_rows), both derived entirely from the supplied data with no external lookups.
Example use cases
ETL pipeline run time trend analysis
“I have daily ETL pipeline records for the past month — can you compute numeric row ordering and a trailing mean with window 7 for run_seconds so I can spot slowdowns over time?”
Processed row throughput smoothing
“Here are 50 pipeline runs with processed_rows counts — give me numeric row ordering and a trailing mean series with window 5 for processed_rows to smooth out the noise.”
Group-level pipeline performance review
“I've got 120 pipeline duration records across two dataset groups. Can you run numeric row ordering and trailing mean analysis with window 3 on run_seconds so I can review performance trends?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline duration records and need both a numeric ordering of rows and a rolling/trailing mean series computed locally from your supplied data — with no external data access, no prediction, and a low flat cost for up to 200 rows. Ideal for ETL monitoring, batch job performance review, or pipeline throughput analysis where you want smoothed trend visibility alongside ranked ordering.
Side effects
- Fewer than 1 row submitted — minimum 1 row required
- More than 200 rows submitted — exceeds maximum row limit
- Window size larger than the number of submitted rows — trailing mean may have limited coverage
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — request rejected
- Null numeric values may affect mean calculation for affected windows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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