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Render Jobs — Daily Sum Series + Trailing Mean Series
x402
Render Jobs — Daily Sum Series + 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 2026-10-17).
Computes a daily sum time series and a trailing moving-average series for render job metrics (render_seconds or sample_count) from supplied row data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Daily sum series + Trailing mean series: Daily sum series + Trailing mean series for supplied render jobs records (render_seconds, sample_count). 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 daily sum series aggregating the chosen metric (render_seconds or sample_count) by date, and (2) a trailing moving-average series over the specified window — both computed locally from the supplied rows without any external data lookup.
Example use cases
Studio render pipeline daily summary
“Here are 50 render job rows from our animation studio across October — compute the daily total render_seconds and a 7-day trailing mean so I can see workload trends over the month.”
Asset group render time trend analysis
“I have render job data for two asset groups over the past quarter; give me daily sum and a trailing mean with window 5 for render_seconds so I can compare their output patterns.”
Sample throughput moving average report
“Can you run a daily sum series and trailing mean with window 2 on my sample_count data for these 30 render job rows? I want to see day-by-day totals and a smoothed trend line.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 render job records and need both a daily aggregated sum and a smoothed trailing mean in a single call for $0.01 USDC. Ideal for creative/rendering pipeline analytics where you want time-series trend analysis on render_seconds or sample_count without setting up your own analytics infrastructure.
Side effects
- Input array is empty or missing required fields (row_id, date, render_seconds, sample_count)
- Date strings not matching YYYY-MM-DD pattern cause validation failure
- More than 200 rows submitted exceeds the maxItems limit
- Window value outside range 2–200 is rejected
- Null values in the metric field may affect sum/mean calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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