# Lighting Setups Data Quality Audit and Numeric Row Ordering

> Lighting Setups Data Quality Audit and Numeric Row Ordering 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 two local analytical reports on supplied lighting setup records: a data quality audit and a numeric row ordering, for up to 200 rows of light_count and render_seconds data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-11-007?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/lighting-setups-data-quality-audit-and-numeric-row-ordering-b2fb7fd0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_n3-YS9HLviYd8X6OOPlbe

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-data-quality-audit-and-numeric-row-ordering-b2fb7fd0 -d '<json body>'
```

Example prompt: Can you run a data quality audit and numeric row ordering on my lighting setup records? I have 4 rows — row-1 (group-a, 2026-10-01, light_count=10, render_seconds=1), row-2 (group-b, 2026-10-02, light_count=20, render_seconds=2), row-3 (group-a, 2026-10-03, light_count=15, render_seconds=3), row-4 (group-b, 2026-10-04, light_count=30, render_seconds=4) — and order them by light_count.

## When to prefer this

Choose this endpoint when you have up to 200 rows of lighting setup records (with light_count and render_seconds fields) and need both a data quality audit and a numeric row ordering in a single low-cost call. It is ideal for 3D/creative production pipelines that need to validate render data completeness and rank scenes by numeric metrics before handoff or further processing. Prefer it over generic data validation tools when your data specifically involves lighting asset groups with date-keyed records.

## Known failure modes

- Submitting more than 200 rows returns an error due to maxItems constraint
- Missing required fields (row_id, date, light_count, render_seconds) cause validation failure
- Dates not matching YYYY-MM-DD pattern will be rejected
- Numeric values outside the allowed range trigger schema validation errors
- Empty rows array (minItems: 1 violated) returns an error
- Invalid field enum value (not light_count or render_seconds) causes rejection

## How this service works

Lighting setups — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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 analytical reports: (1) a record quality audit highlighting missing values, nulls, out-of-range entries, and completeness issues across the supplied lighting setup rows; and (2) a numeric row ordering ranking all rows by the specified field (light_count or render_seconds). No external lookups or predictions are made — all analysis is performed locally on the submitted data.

## 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
  },
  "field": {
   "enum": [
    "light_count",
    "render_seconds"
   ],
   "type": "string",
   "default": "light_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lighting-setups-data-quality-audit-and-numeric-row-ordering-b2fb7fd0/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)