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Transformation Throughput Analytics — Base-100 Series + Two-Measure Correlation
x402
Transformation Throughput Analytics — Base-100 Series + Two-Measure Correlation 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 a Base-100 index series and a two-measure correlation report for transformation throughput records containing processed_rows and duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 analytical reports: (1) a Base-100 indexed series for the chosen field (processed_rows or duration_seconds), where the value at the specified base_index row equals 100 and all other values are scaled proportionally; and (2) a two-measure correlation report quantifying the statistical relationship between processed_rows and duration_seconds across the supplied rows. Results are computed locally from the supplied data only — no external lookups or predictions are performed.
Example use cases
ETL pipeline performance benchmarking
“I have 80 daily ETL job records with processed_rows and duration_seconds — please normalize the processed_rows field into a base-100 series starting from the first row (index 0) and correlate it with duration_seconds so I can see how throughput changed relative to my baseline.”
Data team throughput trend reporting
“Can you take these 120 transformation job records from our data team — each has a date, dataset_group, processed_rows, and duration_seconds — and produce a base-100 index for duration_seconds starting from index 0, plus a two-measure correlation between processed_rows and duration_seconds?”
Identifying bottlenecks in batch processing jobs
“I want to understand if our slower batch jobs are actually processing more rows or if there's no real relationship — I have 60 records with processed_rows and duration_seconds, please run both a base-100 series on processed_rows from row index 0 and a correlation report between the two measures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to index transformation throughput metrics (processed_rows, duration_seconds) to a base-100 scale and simultaneously measure their pairwise correlation — all from supplied data without any external lookups. Ideal for data engineering teams that want to benchmark ETL job performance relative to a reference row and understand whether processing volume and duration move together. Use this over generic statistics APIs when you specifically have pipeline throughput records in this exact schema and want two pre-packaged analytical outputs in one $0.01 call.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) on any row causes validation failure
- base_index out of range (>= number of supplied rows) causes error
- Null values in the field chosen for base-100 indexing may produce undefined or partial results
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Zero value at the base_index row causes division-by-zero in the Base-100 calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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