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Pipeline Durations — Adjacent Row Changes + Equal-Width Histogram
x402
Pipeline Durations — Adjacent Row Changes + Equal-Width Histogram 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 adjacent row-over-row changes and an equal-width histogram for pipeline duration metrics (run_seconds or processed_rows) over up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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) an adjacent row changes report showing the delta in the selected metric (run_seconds or processed_rows) between each consecutive record, and (2) an equal-width histogram report showing how values are distributed across the specified number of bins, including bin boundaries and frequency counts. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Monitoring ETL job duration trends
“I have 50 daily ETL pipeline runs logged by date and group — can you compute the adjacent row changes and a 10-bin histogram on run_seconds so I can see if durations are spiking or stabilizing over time?”
Auditing processed row throughput distribution
“Take these 120 pipeline records and give me adjacent differences plus an equal-width histogram with 8 bins for the processed_rows field — I want to understand how our throughput is distributed across runs.”
Spot-checking pipeline performance regressions
“Here are 30 recent pipeline execution records across two dataset groups — run adjacent row change analysis and a 5-bin histogram on run_seconds so I can quickly spot any performance regressions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytical views — sequential change detection and distributional bucketing — on pipeline timing or throughput data in a single call. It is ideal for data engineers who want quick local-computation analytics on up to 200 pipeline run records without needing a full BI tool or external data warehouse query. Prefer it over generic stats APIs when your data is structured around pipeline runs with dataset_group and date dimensions.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (must be YYYY-MM-DD)
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows)
- Bins value out of range (must be 1–30)
- Numeric fields exceed allowed magnitude (±1,000,000,000,000)
- Additional properties on row objects rejected due to strict schema
- Field enum value not 'run_seconds' or 'processed_rows'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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