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Pipeline Durations Analytics: Exact Row Deduplication + Trailing Mean Series
x402
Pipeline Durations Analytics: 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 2026-10-15).
Deduplicates supplied pipeline duration records and computes a trailing moving average series over run_seconds or processed_rows for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series for supplied pipeline durations records (run_seconds, processed_rows). 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) an exact row deduplication report identifying and removing fully duplicate records from the supplied dataset, and (2) a trailing moving average series computed over the specified numeric field (run_seconds or processed_rows) using the given window size — both derived entirely from the supplied input rows with no external lookups.
Example use cases
Detect duplicate ETL job runs
“I have a list of up to 80 pipeline run records with row IDs, dates, group names, run_seconds, and processed_rows — can you deduplicate them exactly and then show me a trailing mean of run_seconds using a window of 5?”
Smooth pipeline performance trend
“Here are 150 pipeline duration records across multiple dataset groups. Can you remove any exact duplicate rows and then compute a rolling average of processed_rows with a window of 10 so I can see the smoothed throughput trend?”
Audit repeated pipeline entries
“My pipeline logging system sometimes emits duplicate entries. Can you take these 60 records and give me both a deduplication report and a trailing mean series over run_seconds with a window of 4?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-045?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline duration records (with run_seconds and/or processed_rows) and need both exact duplicate removal and a trailing moving average trend in a single call for up to 200 rows. It is ideal for lightweight, self-contained ETL analytics without any external data enrichment or prediction. Prefer alternatives if you need grouped summaries, outlier detection, string normalization, or more than 2 analytical reports.
Side effects
- Missing required fields (row_id, date, dataset_group) causes validation error
- Fewer than 1 row or more than 200 rows triggers a request rejection
- Window size larger than the number of rows may produce incomplete or empty trailing mean output
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in the target numeric field may result in gaps in the trailing mean series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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