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Pipeline Durations Analytics — Daily Sum Series & Keyed Dataset Comparison
x402
Pipeline Durations Analytics — Daily Sum Series & Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes a daily sum time series and a keyed dataset comparison for up to 200 pipeline duration records (run_seconds, processed_rows) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Daily sum series + Keyed dataset comparison: Daily sum series + Keyed dataset comparison 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 daily sum time series aggregating the selected field (run_seconds or processed_rows) by date, and (2) a keyed dataset comparison between the primary and secondary supplied datasets, highlighting per-key differences. Both reports are computed locally with no external lookups.
Example use cases
Weekly pipeline performance review
“I have two weeks of pipeline run logs — can you compute daily totals for run_seconds from this week's data and compare it row-by-row against last week's dataset to see where things changed?”
ETL throughput trend by day
“Take these pipeline records and give me a daily sum series for processed_rows so I can see how much data we're moving through the ETL each day.”
Cross-environment pipeline comparison
“Here are pipeline duration records from our staging and production environments — can you do a keyed dataset comparison on run_seconds so I can see which pipeline jobs are slower in production?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily sum time series and a side-by-side keyed comparison for pipeline duration data (run_seconds or processed_rows) in a single low-cost call. Ideal for ETL monitoring, pipeline benchmarking, or operational analytics where you already have the data and need fast local computation without external data fetching or predictions.
Side effects
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) causes validation error
- More than 200 rows submitted triggers a maxItems violation
- Invalid date format (not YYYY-MM-DD) causes pattern validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Payment not included or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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