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Transformation Throughput — Exact Row Deduplication + Trailing Mean Series
x402
Transformation Throughput — Exact Row Deduplication + 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).
Deduplicates transformation throughput records exactly and computes trailing mean series for processed_rows or duration_seconds fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Exact row deduplication + Trailing mean series: Exact row deduplication + 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
Two analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate records from the supplied transformation throughput rows, and (2) a trailing mean series computed over the specified numeric field (processed_rows or duration_seconds) using the given rolling window size — all derived locally from the supplied data with no external lookups.
Example use cases
ETL pipeline duplicate cleanup
“I have 150 rows of daily ETL run records with processed_rows and duration_seconds — can you deduplicate them exactly and also give me a trailing mean series with a window of 5 for processed_rows so I can spot trends?”
Batch job throughput trend analysis
“Run a trailing mean analysis with a window of 7 on duration_seconds for my transformation throughput logs, and clean out any exact duplicate rows first — I have about 80 records across three dataset groups.”
Data quality audit for transformation logs
“I need two reports on my pipeline throughput data: first deduplicate the 60 rows I have, then compute a rolling mean of processed_rows using a window of 4 to see if throughput is improving over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-045?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row-level deduplication and a trailing/rolling mean time series computed together in a single API call on transformation throughput data (processed_rows, duration_seconds). It is ideal for data engineers who want to clean pipeline run logs and simultaneously analyze throughput trends without writing custom code. Prefer this over general analytics platforms when you need a lightweight, pay-per-call solution for up to 200 records.
Side effects
- Input array is empty or missing — returns validation error
- More than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field enum value not one of processed_rows or duration_seconds — validation error
- Window value outside range 2–200 — schema rejection
- All rows are unique — deduplication report returns empty duplicate set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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