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Transformation Throughput Analytics — Category Frequencies + Adjacent Row Changes
x402
Transformation Throughput Analytics — Category Frequencies + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Analyzes transformation throughput records to produce category frequency distributions and adjacent row change reports for processed_rows or duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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) category frequency counts showing how often each dataset_group value appears across the submitted rows, and (2) adjacent row changes showing the delta in the selected field (processed_rows or duration_seconds) between each consecutive row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline throughput audit
“I have 150 transformation run records with dataset groups like 'customer-data' and 'orders', each with processed_rows and duration_seconds. Can you give me the category frequency counts by group and show me how processed_rows changed between consecutive runs?”
Duration spike detection across pipeline stages
“Here are 80 rows from our nightly pipeline with row_id, date, dataset_group, and duration_seconds. Run the adjacent row changes report on duration_seconds so I can see where processing time jumped significantly between steps.”
Dataset group distribution for capacity planning
“I'm trying to understand how our transformation workload is distributed. Can you take these 200 records with processed_rows and dataset_group fields and show me both how frequently each group appears and how processed_rows shifts row by row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency distribution and a consecutive-row delta analysis on transformation throughput data (processed_rows, duration_seconds) in a single $0.01 call covering up to 200 rows. Prefer it over general analytics APIs when working specifically with ETL or data pipeline logs segmented by dataset_group, and when you need two complementary reports (frequency + change detection) without external data lookups or live connections.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) on any row
- Invalid date format (must be YYYY-MM-DD)
- Field selector not one of 'processed_rows' or 'duration_seconds'
- Numeric values outside allowed range (±1,000,000,000,000)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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