# Lighting Setups Record Quality Audit and String Normalisation

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-11-001?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/lighting-setups-record-quality-audit-and-string-normalisation-4b7145f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_THqpEI4U6m7ASSyHQzaBQ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability lighting-setups-record-quality-audit-and-string-normalisation-4b7145f1 -d '<json body>'
```

Example prompt: Can you run a record quality audit and string normalisation on my lighting setup data? I have 4 rows with asset groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, light counts of 10, 20, 15, and 30, and render seconds of 1, 2, 3, and 4.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "light_count",
     "render_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "light_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "render_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "light_count": 10,
     "render_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "light_count": 20,
     "render_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "light_count": 15,
     "render_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "light_count": 30,
     "render_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lighting-setups-record-quality-audit-and-string-normalisation-4b7145f1/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)