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Transformation Throughput Analytics — Trailing Mean Series + Equal-Width Histogram
x402
Transformation Throughput Analytics — Trailing Mean Series + Equal-Width Histogram 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 an equal-width histogram for transformation throughput data (processed_rows, duration_seconds) supplied by the caller, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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 for the specified field: (1) a trailing mean time series showing the rolling average over the configured window across the supplied date-ordered rows, and (2) an equal-width histogram with the configured number of bins summarizing the distribution of values. Both reports are derived purely from the supplied input data with no external lookups.
Example use cases
ETL pipeline throughput trend review
“I have 120 rows of daily ETL job metrics with processed_rows and duration_seconds per dataset group. Run a trailing mean series with a window of 5 and a 10-bin histogram on processed_rows so I can see trends and distribution.”
Duration distribution analysis for data jobs
“Can you analyze the duration_seconds from my transformation logs — I'll supply 80 records. Give me a trailing mean with a window of 3 and an equal-width histogram with 8 bins so I can spot outliers in job runtime.”
Dataset group performance comparison
“I want to understand throughput patterns across two dataset groups over the last quarter. Here are 150 rows with processed_rows and duration_seconds — please compute a trailing mean series (window 4) and a 6-bin histogram on duration_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records with processed_rows and duration_seconds fields and need both a rolling/trailing mean time series and a frequency histogram in a single call for $0.01 USDC. It is ideal for lightweight, self-contained statistical summarization of ETL or data pipeline metrics without requiring a full analytics platform. Prefer it over general-purpose analytics services when your data is already structured in the required row format and you want two complementary views (trend + distribution) returned together efficiently.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows submitted — hard cap exceeded, request rejected
- Window size larger than number of supplied rows — trailing mean may be undefined or degenerate
- Invalid date format not matching YYYY-MM-DD pattern — schema validation error
- Null values in processed_rows or duration_seconds — may reduce effective sample size or produce partial results
- bins parameter outside 1–30 range — validation error
- window parameter outside 2–200 range — validation error
- field value not in enum [processed_rows, duration_seconds] — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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