# Lighting Setups Data Quality Pipeline: Record Audit + String Normalisation + Exact Row Deduplication

> Lighting Setups Data Quality Pipeline: Record Audit + String Normalisation + Exact Row Deduplication 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 three local analytical reports on up to 200 lighting setup records — a record quality audit, string normalisation, and exact row deduplication — using light_count and render_seconds as the core measures.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-11-191?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-pipeline-record-audit-string-f873db52
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Mwrbq2aya7R7ECkq4FmAz

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-pipeline-record-audit-string-f873db52 -d '<json body>'
```

Example prompt: Can you audit, normalise, and deduplicate my lighting setup records? I have rows with fields like row_id, asset_group, date, light_count, and render_seconds — here are up to 200 rows I need cleaned and quality-checked.

## When to prefer this

Choose this endpoint when you have lighting setup records (with light_count and render_seconds measures) that need simultaneous quality auditing, string normalisation, and exact deduplication in a single call for a flat fee. It is ideal for pre-pipeline data cleaning of small-to-medium creative/render datasets (up to 200 rows) where you want three reports for the price of one without any external data lookups or ML-based predictions.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, asset_group, date, light_count, render_seconds) on any row
- Date field not matching YYYY-MM-DD pattern — validation error
- row_id empty or blank — minLength constraint failure
- Numeric fields outside allowed range (±1,000,000,000,000) — schema rejection
- Payment of 0.01 USDC not fulfilled — 402 response before processing

## How this service works

Lighting setups — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 covering: (1) a record quality audit flagging completeness and validity issues in the lighting setup rows, (2) a string normalisation report showing standardised versions of text fields like asset_group, and (3) an exact row deduplication report identifying and removing fully duplicate records — all computed locally without 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-data-quality-pipeline-record-audit-string-f873db52/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)