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Transformation Throughput Analytics — Adjacent Row Changes & Secondary-Measure Weighted Mean
x402
Transformation Throughput Analytics — Adjacent Row Changes & 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 2026-10-15).
Computes adjacent row-to-row changes and a secondary-measure weighted mean for transformation throughput records containing processed_rows and duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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
Two analytical reports derived from the supplied throughput records: (1) adjacent row-to-row changes for the specified field (processed_rows or duration_seconds), showing sequential deltas across up to 200 rows; and (2) a secondary-measure weighted mean, where one measure weights the average of the other. Results are computed locally with no external lookups or predictions.
Example use cases
ETL pipeline throughput trend review
“I have daily ETL run records with processed_rows and duration_seconds for each job — can you compute the adjacent row changes in processed_rows across those runs and also give me the weighted mean of duration_seconds, for up to 10 rows covering last week?”
Dataset group performance comparison
“For my two dataset groups, group-a and group-b, I've got about 8 daily throughput records. Can you calculate how processed_rows changed between consecutive records and compute the duration_seconds weighted mean across all of them?”
Pipeline regression detection after deployment
“After last week's deployment, I want to see if throughput dropped — can you analyze these 15 transformation records and show me the adjacent row changes in processed_rows plus the weighted mean of duration_seconds to spot any regression?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific statistical computations — adjacent sequential differences and a weighted mean — on transformation throughput tabular data (processed_rows, duration_seconds) in a single call. It is ideal for ETL pipeline analysis, batch throughput monitoring, and data engineering quality checks where you have up to 200 dated records and want local analytical results without external data enrichment or prediction.
Side effects
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors
- More than 200 rows submitted exceeds the max item limit
- Invalid date format (not YYYY-MM-DD) rejected by schema pattern
- Null values in processed_rows or duration_seconds may affect weighted mean computation
- Invalid field enum value (not 'processed_rows' or 'duration_seconds') causes rejection
- Insufficient USDC balance or payment failure blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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