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Lighting Setups Record Quality Audit and String Normalisation
x402
Lighting Setups Record Quality Audit and String Normalisation 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).
Audits data quality and normalises strings for lighting setup records containing light count and render seconds fields, producing two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — Record quality audit + String normalisation: Record quality audit + String normalisation 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 reports: (1) a record quality audit identifying missing, null, out-of-range, or malformed values across the supplied rows; (2) a string normalisation report with cleaned and standardised versions of string fields such as asset_group. Both reports cover up to 200 input rows and are produced using local analytical engines with no external lookups.
Example use cases
Pre-render pipeline data validation
“I've got a batch of 50 lighting setup records with asset group names, light counts, and render times I pulled from our render farm logs — can you audit them for quality issues and normalise any inconsistent string fields before we kick off the next render job?”
Spotting anomalous light count entries
“Can you check this list of 120 lighting setup rows for data quality problems? I'm especially worried about invalid or out-of-range light_count and render_seconds values — I need a quality report so I know which rows to fix.”
Cleaning asset group naming inconsistencies
“My lighting dataset has about 80 rows with messy asset_group strings — mixed casing, extra spaces, that kind of thing. Can you run string normalisation on them and also flag any overall record quality issues at the same time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous record quality auditing and string normalisation for lighting setup data (light_count, render_seconds, asset_group) in a single low-cost call. It is ideal for pre-processing creative production pipeline data before rendering or downstream analysis, and when you need two distinct reports from one batch submission of up to 200 rows without any external data lookups or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, light_count, render_seconds) cause row-level errors or rejection
- Dates not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric fields outside the allowed range (-1e12 to 1e12) may be flagged
- Empty rows array or malformed JSON body returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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