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Transformation Throughput Analytics — Category Frequencies + Trailing Mean Series
x402
Transformation Throughput Analytics — Category Frequencies + 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).
Analyzes transformation throughput records (processed_rows, duration_seconds) to produce category frequency distributions by dataset group and a trailing moving-average time series for a chosen numeric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Category frequencies + Trailing mean series: Category frequencies + 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 analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) a trailing moving-average series for the selected numeric field (processed_rows or duration_seconds) computed over the specified window size, covering up to 200 input rows.
Example use cases
ETL pipeline throughput trend analysis
“I have 120 daily ETL run records with dataset_group, date, processed_rows, and duration_seconds. Can you compute the frequency of each dataset group and give me a trailing mean series for processed_rows using a window of 5?”
Data team group contribution breakdown
“Here are 80 transformation throughput records across several dataset groups. Show me how often each group appears and a rolling average of duration_seconds with a window of 10 so I can spot slowdowns over time.”
Pipeline performance smoothing for reporting
“I need to report on our batch job performance — I have 200 rows of transformation data. Get me the category frequencies by dataset_group and a trailing mean for processed_rows with window size 14 to iron out daily spikes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have transformation throughput records with dataset_group categorical labels and numeric throughput metrics (processed_rows, duration_seconds) and need both a frequency distribution of categories AND a smoothed time series in a single $0.01 call. Prefer this over general analytics APIs when working specifically with ETL/pipeline throughput data and you want local analytical computation without external lookups or predictions.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size outside allowed range (2–200) — validation error
- Numeric field values outside ±1,000,000,000,000 bounds
- Payment not included or insufficient — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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