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Transformation Throughput Analytics: Numeric Row Ordering + Base-100 Series
x402
Transformation Throughput Analytics: Numeric Row Ordering + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Computes numeric row ordering and a base-100 index series for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied transformation throughput records (processed_rows, duration_seconds). 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 reports: (1) numeric row ordering of the supplied records ranked by the selected field (processed_rows or duration_seconds), and (2) a base-100 index series for the selected field anchored at the specified base_index row, enabling relative performance comparison across up to 200 transformation throughput records.
Example use cases
ETL pipeline performance ranking
“I have 50 daily ETL job records with processed_rows and duration_seconds for two dataset groups. Can you rank them numerically and build a base-100 index series starting from the first row, using processed_rows as the measure?”
Benchmarking data throughput over time
“I want to compare how my data transformation throughput has changed over the past quarter — here are 120 records with dates, dataset groups, and processed_rows values. Give me a numeric row ordering and a base-100 index so I can see relative changes.”
Duration normalization for pipeline runs
“Can you take my 80 pipeline run records with duration_seconds and dataset_group labels, rank them in order, and create a base-100 index series anchored to row index 0 so I can see which runs are faster or slower relative to the baseline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-117?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have transformation throughput records (with processed_rows and/or duration_seconds) and need both a numeric rank ordering and a base-100 relative index series in a single call for up to 200 rows. Ideal for ETL performance analysis, pipeline benchmarking, and throughput normalization without requiring external data sources or live lookups.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- base_index out of range (above number of rows) causes an error
- Null values in the selected metric field may produce incomplete rankings
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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