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Data Pipeline Runs Base-100 Index Series
x402
Data Pipeline Runs Base-100 Index Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes a base-100 indexed time series for data pipeline run metrics (processed rows or rejected rows) across up to 200 supplied pipeline run records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Base-100 series: Base-100 series 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 base-100 series report.
Output
A bounded base-100 index series report derived from the supplied pipeline run records, with descriptive analytics (no forecast or enrichment). Each record's selected metric (processed_rows or rejected_rows) is expressed as an index value relative to the chosen base record, enabling relative trend comparison across pipelines and dates.
Example use cases
Pipeline throughput growth tracking
“I have daily records for my ETL pipelines showing how many rows were processed each day — can you normalize all of that to a base-100 index starting from the first record so I can see relative growth over time?”
Rejected row trend benchmarking
“Take these 50 pipeline run records and compute a base-100 index on rejected_rows, using the 10th record as the base, so I can see how our rejection rate has changed relative to that reference point.”
Cross-pipeline performance comparison
“I want to compare how two different pipelines — group-a and group-b — have trended in processed rows over the last quarter; can you build a base-100 index series from my run data so I can see which one has scaled more?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local base-100 normalization of pipeline run metrics (processed or rejected rows) without external enrichment or forecasting. Ideal for relative trend analysis across pipeline groups over time when you already have the raw run records and want a descriptive indexed view for up to 200 records at very low cost ($0.01 USDC).
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected, exceeds maxItems
- base_index out of range (>= number of rows supplied) — error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) — rejected
- Base record has a null or zero metric value — division error or undefined index
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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