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Lighting Setups — Record Quality Audit + Two-Measure Correlation
x402
Lighting Setups — Record Quality Audit + 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 2026-10-22).
Audits data quality and computes correlation between light_count and render_seconds for up to 200 lighting setup records, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — Record quality audit + Two-measure correlation: Record quality audit + 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 independent reports: (1) a record quality audit identifying missing values, out-of-range entries, formatting issues, and overall data health for each row; and (2) a two-measure correlation analysis between light_count and render_seconds, including correlation coefficient and supporting statistics. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Pre-pipeline data quality gate
“Before I feed this lighting dataset into our render farm scheduler, can you run a quality audit on these 80 records and also tell me if there's a meaningful correlation between light_count and render_seconds? I want to catch bad rows early.”
Render time analysis by scene complexity
“I have 120 lighting setup records from last month's production — can you check the data quality and compute the correlation between the number of lights and how long each scene took to render in seconds?”
Asset group benchmarking
“We've got two asset groups, group-a and group-b, with around 60 rows each. Can you audit the record quality across all of them and measure how strongly light_count and render_seconds are correlated in this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a statistical correlation analysis on lighting setup records in a single call at low cost ($0.01 USDC for both reports). It is ideal for 3D production pipelines where you want to validate render data integrity and understand the relationship between scene light count and render duration before downstream processing. Prefer alternatives if you need deduplication, histogram bucketing, string normalization, or more than two measures — sibling endpoints on the same platform cover those combinations.
Side effects
- Empty rows array or missing required fields (row_id, date, light_count, render_seconds) causes validation error
- More than 200 rows submitted exceeds the per-call limit
- Invalid date format (non YYYY-MM-DD) rejected by schema pattern
- All light_count or render_seconds values are null, making correlation computation impossible
- Malformed JSON payload returns schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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