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Transformation Throughput — Adjacent Row Changes + Date by Category Pivot
x402
Transformation Throughput — Adjacent Row Changes + Date by Category Pivot 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).
Analyzes transformation throughput records (processed_rows, duration_seconds) to produce two reports: adjacent row changes and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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) an adjacent row changes report showing delta values between consecutive records for the selected metric (processed_rows or duration_seconds), and (2) a date-by-category pivot table cross-tabulating the metric values by date and dataset_group. No external lookups or predictions are included.
Example use cases
Day-over-day pipeline throughput delta
“I have a week of ETL run logs with row_id, dataset_group, date, processed_rows, and duration_seconds for up to 150 records — can you give me the adjacent row changes and a date-by-group pivot on processed_rows so I can see where throughput dropped?”
Duration trend pivot by dataset group
“Run a date-by-category pivot and adjacent changes report on my transformation logs — I'm analyzing duration_seconds across two groups called 'ingest' and 'transform' over 30 daily records and need to spot anomalies.”
Batch job performance comparison
“I've got 200 rows of batch job stats with processed_rows and duration_seconds tagged by dataset_group and date — analyze the adjacent row changes and pivot by date and category so I can compare how each group performs over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular transformation throughput records with a date, group identifier, and one or two numeric metrics, and you need both sequential delta analysis (adjacent row changes) and a cross-tabulated pivot by date and category — all in a single paid call. Ideal for lightweight, local analytical computation on up to 200 rows without needing a full BI platform or external data warehouse.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Null values in processed_rows or duration_seconds may affect adjacent delta calculations
- Payment of 0.01 USDC not included or invalid — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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