# Lighting Setups — Exact Row Deduplication + Base-100 Series

> Lighting Setups — Exact Row Deduplication + Base-100 Series 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).

Deduplicates lighting setup records and produces a Base-100 indexed series for light_count or render_seconds across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-11-047?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-exact-row-deduplication-base-100-series-8a26ca29
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_eHCuUNZrX9hxalBNpfH0b

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-exact-row-deduplication-base-100-series-8a26ca29 -d '<json body>'
```

Example prompt: I have a set of lighting setup records with light_count and render_seconds — can you deduplicate exact duplicate rows and then build a Base-100 index series on light_count starting from row 0? Here are up to 200 rows across asset groups like group-a and group-b.

## When to prefer this

Choose this endpoint when you have lighting setup records (with light_count and render_seconds) and need both exact deduplication and a Base-100 normalized time series in a single call. It is ideal for 3D/creative production workflows where you want to clean a dataset and benchmark numeric trends relative to a specific row, without any external lookup or live data dependency. Prefer it over generic analytics tools when your dataset fits within 200 rows and you need two bundled reports at minimal cost.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, light_count, render_seconds) causes validation error
- base_index out of range (0–199) relative to actual row count
- All rows are duplicates leaving zero unique records for indexing
- Null values in the selected numeric field may produce gaps in the Base-100 series

## How this service works

Lighting setups — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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 analytical reports: (1) an exact-row deduplication report showing which rows were duplicates and the cleaned dataset, and (2) a Base-100 indexed series for the chosen numeric field (light_count or render_seconds) anchored at the specified base_index row, covering up to 200 input rows.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lighting-setups-exact-row-deduplication-base-100-series-8a26ca29/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)