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Data Pipeline Runs – Secondary-Measure Weighted Mean
x402
Data Pipeline Runs – Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Computes a secondary-measure weighted mean over up to 200 typed data pipeline run records (processed_rows or rejected_rows) with local descriptive analytics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Secondary-measure weighted mean: Secondary-measure weighted mean 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 secondary-measure weighted mean report.
Output
A bounded descriptive analytics report containing the secondary-measure weighted mean value for the specified numeric field (processed_rows or rejected_rows) computed over the supplied pipeline run records, with no enrichment or forecasting.
Example use cases
Pipeline throughput weighted average
“I have a week's worth of pipeline run logs — each entry has a pipeline name, date, processed_rows, and rejected_rows. Can you compute the weighted mean of processed_rows across all those runs so I can see overall throughput?”
Data quality rejection rate analysis
“I want to understand our data rejection trends — please compute the weighted mean of rejected_rows for our last 50 pipeline runs using the records I'm uploading. Use rejected_rows as the field to weight on.”
Comparing pipeline group performance
“We have two pipeline groups, group-a and group-b, and I have their run records for the past month. Can you calculate the weighted mean of processed_rows for each so I can compare their performance?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-weighted-average?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local weighted mean computation specifically for data pipeline run metrics (processed_rows or rejected_rows) without needing forecasting, enrichment, or external data lookups. Ideal for batch descriptive analytics on up to 200 pipeline run records at minimal cost ($0.01 USDC).
Side effects
- Empty or missing rows array returns validation error
- More than 200 records submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both numeric fields may produce undefined weighted mean
- Invalid field enum value other than processed_rows or rejected_rows rejected
- row_id missing or empty string causes required field validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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