# Lighting Setups Data Quality Suite — Audit, Normalise & Fill

> Lighting Setups Data Quality Suite — Audit, Normalise & Fill 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 on lighting-setup records: record quality audit, string normalisation, and explicit missing-value fill for light_count and render_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-11-208?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-data-quality-suite-audit-normalise-fill-467e2137
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Vl2p6yI3muEB6VZtaKajn

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-suite-audit-normalise-fill-467e2137 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and missing-value fill (using median) on my lighting setup data — I have up to 50 rows with light_count and render_seconds fields — and give me all three reports?

## When to prefer this

Choose this endpoint when you need a bundled three-in-one data quality pass (audit + normalise + impute) on lighting setup tabular data with light_count and render_seconds columns, for up to 200 rows at a fixed $0.01 cost. Ideal when you want offline, deterministic analysis with no external data calls and need all three reports in a single API call.

## Known failure modes

- Exceeding 200-row limit returns a validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Unknown fill method or field enum value causes request rejection
- Empty rows array (minItems:1 not met) returns an error
- Numeric values outside ±1,000,000,000,000 range fail schema validation

## How this service works

Lighting setups — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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 analytical reports delivered in a single response: (1) a record quality audit flagging issues per row, (2) a string normalisation report with cleaned field values, and (3) a missing-value fill report showing imputed values for the chosen field using the specified method (zero, mean, or median). All reports are computed locally 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
  },
  "field": {
   "enum": [
    "light_count",
    "render_seconds"
   ],
   "type": "string",
   "default": "light_count"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lighting-setups-data-quality-suite-audit-normalise-fill-467e2137/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)