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Transformation Throughput Analytics — Grouped Summary + Trailing Mean Series
x402
Transformation Throughput Analytics — Grouped Summary + Trailing Mean Series 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 grouped numeric summary and a trailing mean time series for transformation throughput records (processed_rows, duration_seconds) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series 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 reports: (1) a grouped numeric summary breaking down processed_rows or duration_seconds statistics by dataset_group, and (2) a trailing mean series showing rolling averages over the specified window for the chosen field, both computed locally from the supplied row data.
Example use cases
ETL pipeline throughput trend analysis
“I have 120 rows of daily ETL job records with dataset_group, date, processed_rows, and duration_seconds. Can you compute a grouped numeric summary and a trailing mean series with a window of 5 for the processed_rows field so I can see which groups are improving or degrading over time?”
Data pipeline duration benchmarking by team
“We run nightly transformation jobs across three team groups — give me a grouped numeric summary and trailing mean series (window of 3) for duration_seconds across all 80 of my throughput records so I can benchmark which group's jobs are getting slower.”
Weekly batch job performance review
“Here are 200 rows of weekly batch transformation logs with group labels and dates. Please produce a grouped summary and a rolling mean series using a window of 10 for the processed_rows metric so I can put together a performance review report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped statistical summary and a trailing mean time series for transformation throughput data (processed_rows or duration_seconds) in a single call for up to 200 rows. It is ideal for ETL/data pipeline performance analysis where you want group-level aggregates alongside rolling trend detection, without needing live lookups or external data enrichment.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Window size larger than number of rows — trailing mean cannot be computed
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) in any row
- Invalid date format (must be YYYY-MM-DD)
- Numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment of 0.01 USDC not received — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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