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Lighting Setups — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Lighting Setups — Record Quality Audit + String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Runs three local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of lighting setup data with light_count and render_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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 reports: (1) a record quality audit flagging completeness, nulls, and anomalies per row; (2) a string normalisation report standardising text fields like asset_group; (3) a numeric distribution summary (min, max, mean, percentiles, histogram) for the selected numeric field (light_count or render_seconds). All computed locally from supplied data with no external lookups.
Example use cases
Pre-render data quality check
“I have a batch of 150 lighting setup records with light_count and render_seconds — can you run a quality audit on them to flag any missing or malformed values before we kick off the render job?”
Normalising asset group strings
“Our lighting dataset has inconsistent capitalisation and whitespace in the asset_group field across about 80 rows — can you run string normalisation on those records so we have clean labels?”
Numeric distribution of render times
“Can you give me a numeric distribution report for the render_seconds field across all our lighting configs so I can see how spread out the render times are across different asset groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-193?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 all three of record quality auditing, string normalisation, and numeric distribution in a single low-cost call. Ideal for pre-render data validation pipelines, creative asset cataloguing workflows, or ad-hoc profiling of 3D lighting configurations where no external lookup or prediction is needed.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows supplied — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- row_id missing or blank — required field error
- field enum value not one of light_count or render_seconds — enum validation error
- Numeric values outside allowed range — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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