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Lighting Setups String Normalisation + Trailing Mean Series
x402
Lighting Setups String Normalisation + 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).
Runs string normalisation and trailing mean series analysis on lighting setup records (light_count, render_seconds) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 string normalisation report for the supplied lighting setup records, and (2) a trailing mean series computed over the specified numeric field (light_count or render_seconds) with the given rolling window, covering up to 200 input rows.
Example use cases
Rolling average on render times
“I have 120 rows of lighting setup data with dates, light counts, and render seconds across several asset groups. Can you compute a trailing mean series on render_seconds with a window of 5 so I can see how render times are trending?”
String normalisation for asset group names
“My lighting setup dataset has messy asset_group labels. Can you run the string normalisation report on my 80 lighting records so the group names are cleaned up and consistent?”
Dual report on lighting performance
“I want both the string normalisation and trailing mean series reports for my 200-row lighting setup dataset, using light_count as the field and a window of 4. Can you run both analyses at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a trailing mean (rolling average) time series computed together on lighting setup records in a single paid call. It is purpose-built for 3D rendering/lighting pipeline data with light_count and render_seconds fields, and bundles two local analytical reports for a flat $0.01 USDC — ideal for batch offline analysis of up to 200 rows without requiring any external lookup or live data.
Side effects
- More than 200 rows submitted — request rejected
- Invalid date format (non-YYYY-MM-DD) causes validation error
- Window size outside 2–200 range causes rejection
- Missing required row fields (row_id, date, light_count, render_seconds) causes error
- Numeric values out of allowed range cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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