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Pipeline Durations Analytics — Numeric Row Ordering + Adjacent Row Changes
x402
Pipeline Durations Analytics — Numeric Row Ordering + Adjacent Row Changes 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).
Analyzes pipeline duration records to produce numeric row ordering and adjacent row change reports for run_seconds or processed_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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 numeric row ordering report ranking each pipeline record by the selected field (run_seconds or processed_rows), and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Spike detection in nightly ETL runs
“I have 50 nightly pipeline runs logged with their run_seconds and processed_rows. Can you rank them by run_seconds and also show me the change in run_seconds between each consecutive run so I can spot where things suddenly slowed down?”
Comparing batch sizes across pipeline groups
“Here are 80 pipeline execution records across two dataset groups. Analyze the processed_rows field — give me a numeric ranking of all rows and show me how processed_rows changed from one run to the next.”
Auditing sequential duration drift in pipelines
“I want to understand whether my pipeline durations are gradually creeping up over time. I have 150 records with run_seconds — can you rank them numerically and calculate the adjacent row differences so I can see the drift?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-116?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric ranking and sequential delta analysis on pipeline duration data (run_seconds or processed_rows) in a single low-cost call. It is ideal for ETL monitoring, performance auditing, and detecting anomalies in batch pipeline runs without needing a database or external analytics platform. Best when you have up to 200 records ready to submit and want two complementary views — ordered ranking plus row-over-row changes — delivered together.
Side effects
- Missing required fields (row_id, date, run_seconds, processed_rows) causes validation failure
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation error
- Null values in the selected field may produce null deltas in the adjacent row changes report
- Invalid field enum value (anything other than run_seconds or processed_rows) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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