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Lighting Setups String Normalisation + Date by Category Pivot
x402
Lighting Setups String Normalisation + Date by Category Pivot 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).
Performs string normalisation and date-by-category pivot analysis on up to 200 lighting setup records containing light count and render seconds data, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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
Two independent analytical reports: a string normalisation report (cleaned/normalized string fields from the input rows) and a date-by-category pivot report (aggregated numeric field values grouped by date and asset_group), based on the supplied lighting setup records.
Example use cases
Benchmarking render times by rig type
“I have 150 rows of lighting rig records with asset groups like 'studio-a' and 'outdoor-b', dates in October, and render_seconds values. Can you normalize the strings and pivot render_seconds by date and asset group so I can see which rigs are slowest?”
Auditing light counts across scene categories
“I need two reports on my lighting scene data — about 80 rows with row IDs, asset groups, dates, and light_count values — please do string normalisation and a date-by-category pivot on the light_count field.”
Summarising CGI lighting data for a production pipeline
“We have up to 200 rows of CGI lighting setup logs with asset_group, date, light_count, and render_seconds columns. Can you run string normalization and a date-grouped category pivot on them so our team can see trends by group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 lighting setup records with light_count and render_seconds fields and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for 3D rendering pipelines, CGI production teams, or data analysts who want two local analytical reports without any external lookup, prediction, or live data dependency.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) — row may fail validation
- Missing required fields (row_id, asset_group, date, light_count, render_seconds) — row rejected
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Invalid field selector value (not 'light_count' or 'render_seconds') — error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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