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Lighting Setups — String Normalisation + Category Frequencies
x402
Lighting Setups — String Normalisation + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Normalises string fields and computes category frequency counts for lighting setup records containing light_count and render_seconds fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — String normalisation + Category frequencies: String normalisation + Category frequencies 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 analytical reports: (1) normalised string values for the asset_group and other string fields across all submitted rows, and (2) category frequency counts showing how many records fall into each distinct category/asset group. Results cover up to 200 input rows processed entirely locally with no external lookups.
Example use cases
Audit 3D scene lighting asset groups
“I have 120 lighting setup records from our render pipeline, each tagged with an asset group, date, light count, and render seconds — can you normalise the asset group strings and give me a frequency breakdown of how many setups belong to each group?”
Standardise lighting config naming across projects
“Our team has been inconsistently naming asset groups in our lighting data — can you run string normalisation on these 80 lighting setup rows and also tell me the category frequencies so I can see which groups dominate?”
Summarise render workload by lighting category
“I want to understand the distribution of our lighting setups across asset categories — here are 200 rows with row IDs, dates, light counts, and render seconds. Please normalise the strings and compute how frequently each category appears.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-024?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 lighting setup records and need both string field normalisation and category frequency counts in a single low-cost call. It is ideal for 3D rendering pipelines or asset management workflows where asset group naming is inconsistent and you want a quick frequency audit without any external data lookups or predictions.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, asset_group, date, light_count, render_seconds) cause row-level errors
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Null or out-of-range numeric values for light_count or render_seconds may produce incomplete analytics
- Payment of 0.01 USDC not provided or rejected halts processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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