# Lighting Setups — Trailing Mean Series + Two-Measure Correlation

> Lighting Setups — Trailing Mean Series + Two-Measure Correlation 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).

Computes a trailing mean time series and a two-measure correlation report for lighting setup records (light_count, render_seconds) over up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-11-150?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-trailing-mean-series-two-measure-correlation-fa50c290
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aBXaKK20_D7fhyfuFGsWi

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-trailing-mean-series-two-measure-correlation-fa50c290 -d '<json body>'
```

Example prompt: Can you run a trailing mean series (window size 3) on light_count and also get me the correlation between light_count and render_seconds for these lighting setup rows: [{"row_id":"r1","asset_group":"studio-a","date":"2025-01-01","light_count":8,"render_seconds":45},{"row_id":"r2","asset_group":"studio-a","date":"2025-01-02","light_count":12,"render_seconds":67},{"row_id":"r3","asset_group":"studio-b","date":"2025-01-03","light_count":20,"render_seconds":110}]?

## When to prefer this

Choose this endpoint when you have tabular lighting setup data (light counts and render durations) and need both a rolling/trailing mean time series and a pairwise correlation between those two measures in a single API call. Ideal for 3D production pipelines, rendering performance analysis, or creative asset benchmarking where you already have the data locally and just need fast statistical computation without any external data enrichment or prediction.

## Known failure modes

- Fewer than 2 rows submitted — minimum 1 required but trailing mean needs at least window-size rows to produce meaningful output
- Window size larger than number of rows — may return empty or partial trailing mean results
- Null values in light_count or render_seconds — nulls may be excluded or cause degraded correlation
- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Invalid date format (not YYYY-MM-DD) — validation error on pattern mismatch
- field enum value not 'light_count' or 'render_seconds' — schema validation failure

## How this service works

Lighting setups — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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) a trailing mean time series for the chosen field (light_count or render_seconds) using the specified window size, and (2) a two-measure correlation result between light_count and render_seconds across all supplied rows. Both reports are computed locally on the submitted data 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lighting-setups-trailing-mean-series-two-measure-correlation-fa50c290/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)