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Lighting Setups Data Quality & Correlation Analyzer
x402
Lighting Setups Data Quality & Correlation Analyzer 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).
Runs three local analytical reports on lighting setup records: a record quality audit, string normalization, and two-measure correlation between light_count and render_seconds.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied lighting setups records (light_count, render_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) a string normalization report for text fields like asset_group; and (3) a correlation analysis between light_count and render_seconds. All computed locally with no external lookups, covering up to 200 rows.
Example use cases
Render pipeline data quality check
“I've got 120 rows of lighting setup records from our render farm — row IDs, asset groups, dates, light counts, and render times — can you run a quality audit on them and flag any bad or missing data?”
Normalize asset group labels in lighting data
“My lighting dataset has inconsistent asset group names across about 80 rows. Can you normalize those strings and give me a clean report?”
Correlate lights to render time
“I want to understand whether more lights in a scene actually increases render time. Can you run a two-measure correlation between light_count and render_seconds on my 60-row lighting dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 lighting setup records and need simultaneous data quality auditing, string cleanup, and correlation analysis between light count and render duration — all in one low-cost call without any external data lookups or predictions. It is ideal for 3D rendering pipeline QA workflows where you supply your own data and want fast, offline analytical reports.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, light_count, render_seconds) cause row-level rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Null or extreme numeric values may be flagged in the quality audit but processed
- Empty rows array rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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