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Lighting Setups Trailing Mean Series and Adjacent Row Changes
x402
Lighting Setups Trailing Mean Series and Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes a trailing mean time series and adjacent row changes for lighting setup records (light_count, render_seconds) on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes for supplied lighting setups records (light_count, render_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 trailing mean series showing the rolling average of the selected field (light_count or render_seconds) over the specified window, and (2) an adjacent row changes report showing the difference between each consecutive row for the selected field, both computed locally from the supplied data.
Example use cases
Trending render time across shots
“Here are 50 daily lighting records for our animation project with render_seconds per asset group — can you give me a trailing mean series and adjacent row changes for render_seconds using a window of 5, so I can see where render time is trending up?”
Monitoring light count drift by group
“I've got 100 lighting setup rows across two groups, each with a date and light_count — can you compute the trailing mean and the adjacent row differences for light_count with a window of 3 so I can spot any sudden jumps?”
Scene optimization quality check
“We just exported 80 rows of lighting data from our scene optimizer covering light_count and render_seconds — run the trailing mean series and adjacent row changes on render_seconds with a window of 4 so we can review performance consistency.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-146?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of lighting setup records (with light_count and/or render_seconds) and need both a rolling/trailing mean time series and adjacent row-change analysis in a single low-cost call. It is ideal for creative production pipelines where no external data lookup or prediction is needed — just local analytical computation on your supplied dataset.
Side effects
- Fewer than 1 row supplied — minimum row requirement not met
- More than 200 rows supplied — exceeds maximum row limit
- Window size exceeds number of rows — trailing mean cannot be computed
- Invalid date format (must be YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, date, light_count, render_seconds) — request rejected
- Null values in selected metric field — may produce partial or null results in series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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