# Lighting Setups — String Normalisation + Numeric Distribution

> Lighting Setups — String Normalisation + Numeric Distribution 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).

Performs string normalisation and numeric distribution analysis on lighting setup records (light_count, render_seconds) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-11-022?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-string-normalisation-numeric-distribution-951e3b08
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_A6KblZKNzOenu4g655OPg

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-string-normalisation-numeric-distribution-951e3b08 -d '<json body>'
```

Example prompt: Can you run string normalisation and numeric distribution analysis on my lighting setup records? I have rows with light_count and render_seconds values across asset groups like 'group-a' and 'group-b' — I want to analyse the light_count field across up to 200 rows.

## When to prefer this

Choose this endpoint when you need quick, low-cost statistical profiling and string normalisation on structured lighting setup data (up to 200 rows) without requiring live lookups, predictions, or external data enrichment. Ideal for pre-pipeline QA, exploratory data analysis of 3D rendering job records, or batch audits of light count and render time distributions across asset groups.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, light_count, render_seconds) causes schema rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Null-only numeric columns may produce degenerate distribution stats
- Providing an invalid field enum value (not 'light_count' or 'render_seconds') causes an error

## How this service works

Lighting setups — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 analytical reports: (1) a string normalisation report covering the asset_group field, and (2) a numeric distribution report for the selected numeric field (light_count or render_seconds), including statistical measures such as min, max, mean, spread, and distribution characteristics, 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
  },
  "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-string-normalisation-numeric-distribution-951e3b08/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)