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Lighting Setups — Trailing Mean Series + Two-Measure Correlation
x402
Lighting Setups — Trailing Mean Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes a trailing mean time series and a two-measure correlation report for lighting setup records (light_count, render_seconds) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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 time series for the chosen field (light_count or render_seconds) using the specified window size, and (2) a two-measure correlation result between light_count and render_seconds across all supplied rows. Both reports are computed locally on the submitted data without external lookups.
Example use cases
Rolling average of render times
“I have 50 lighting setup records with dates, light counts, and render durations — can you compute a trailing mean series with a window of 5 on render_seconds so I can see how render time trends over time?”
Light count to render time correlation
“For my dataset of 120 lighting rig sessions, I need to know how strongly light_count correlates with render_seconds — can you run the two-measure correlation report on all 120 rows?”
Asset group performance smoothing
“I'm comparing two asset groups across 80 lighting setups. Can you compute a trailing mean (window 4) on light_count and also give me the correlation between light_count and render_seconds for all the rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular lighting setup data (light counts and render durations) and need both a rolling/trailing mean time series and a pairwise correlation between those two measures in a single API call. Ideal for 3D production pipelines, rendering performance analysis, or creative asset benchmarking where you already have the data locally and just need fast statistical computation without any external data enrichment or prediction.
Side effects
- Fewer than 2 rows submitted — minimum 1 required but trailing mean needs at least window-size rows to produce meaningful output
- Window size larger than number of rows — may return empty or partial trailing mean results
- Null values in light_count or render_seconds — nulls may be excluded or cause degraded correlation
- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Invalid date format (not YYYY-MM-DD) — validation error on pattern mismatch
- field enum value not 'light_count' or 'render_seconds' — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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