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Transformation Throughput — Trailing Mean Series + Keyed Dataset Comparison
x402
Transformation Throughput — Trailing Mean Series + Keyed Dataset Comparison 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 trailing mean time series and a keyed dataset comparison 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 — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 trailing mean series showing rolling averages of the selected field (processed_rows or duration_seconds) over time, and (2) a keyed dataset comparison between the primary and secondary supplied datasets, identifying differences by row key and dataset group. All computation is performed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline throughput trend analysis
“I've got daily ETL run logs with row counts and durations for two dataset groups over the last 3 months — can you compute a trailing mean series on processed_rows so I can see how throughput trends over time for each group?”
Comparing two pipeline run batches
“I ran the same transformation pipeline last week and this week, both producing records with row_id, dataset_group, date, processed_rows, and duration_seconds — can you do a keyed dataset comparison between them on processed_rows to see where the numbers diverged?”
Duration performance rolling average
“Here are 150 transformation job records with dates, dataset groups, processed_rows, and duration_seconds — can you generate a trailing mean series on duration_seconds and also compare this dataset against last month's equivalent records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have transformation pipeline throughput records and need both a rolling/trailing mean trend analysis and a side-by-side keyed comparison of two datasets in a single API call. Ideal for data engineers monitoring ETL job performance, comparing pipeline runs across time periods, or auditing throughput consistency across dataset groups. Not suitable for live data lookup, prediction, or external data enrichment.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- field parameter not one of the two allowed enum values (processed_rows, duration_seconds)
- Null values in numeric fields may affect trailing mean calculations
- Mismatched row keys between primary and comparison datasets reduce comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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