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Data Pipeline Runs Equal-Width Histogram
x402
Data Pipeline Runs 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 2026-10-17).
Computes a bounded equal-width histogram over processed_rows or rejected_rows fields for up to 200 data pipeline run records, returning local descriptive analytics with configurable bin count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Equal-width histogram: Equal-width histogram for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded equal-width histogram report.
Output
A bounded equal-width histogram report showing bin boundaries and frequency counts for the chosen field (processed_rows or rejected_rows) across the supplied pipeline run records, with the number of bins configured up to 30. The report provides local descriptive analytics only — no external enrichment or forecasting.
Example use cases
Detecting skew in ETL pipeline volumes
“I have 150 daily ETL pipeline run records with processed_rows counts ranging wildly — can you bucket them into 8 equal-width bins so I can see if the distribution is skewed or normal?”
Monitoring rejected rows across pipeline runs
“Take these 50 pipeline run records and show me a 5-bin equal-width histogram of the rejected_rows field so I can see where most rejection events cluster.”
Comparing data volume spread for capacity planning
“I need a histogram of processed_rows for these 200 pipeline runs using 15 bins — I want to understand the spread of daily data volumes to plan infrastructure capacity.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local descriptive analytics on data pipeline run metrics (processed or rejected row counts) and want a frequency distribution in equal-width bins without any external enrichment or forecasting. It is ideal for monitoring ETL data volumes, spotting skew, or summarizing batch pipeline performance across up to 200 records at minimal cost ($0.01 USDC per call).
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- bins value outside 1–30 range — validation error
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) in any row — schema error
- Invalid date format (must match YYYY-MM-DD) — pattern validation failure
- All numeric values null — may produce degenerate histogram
- Extra properties on row objects — rejected due to additionalProperties:false
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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