# Compositing Graphs — Category Frequencies + Two-Measure Correlation

> Compositing Graphs — Category Frequencies + 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 2026-10-17).

Analyzes supplied compositing graph records by computing category frequencies across asset groups and the correlation between node_count and render_seconds measures, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-108?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/compositing-graphs-category-frequencies-two-measure-correlation-6dc875ea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8U69VKi0AI712h8kHDCmR

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 compositing-graphs-category-frequencies-two-measure-correlation-6dc875ea -d '<json body>'
```

Example prompt: Analyze my compositing graph records — I have rows with asset_group, node_count, and render_seconds — and give me both the frequency count per asset group and the correlation between node_count and render_seconds. Here's the data: [{"row_id":"r1","date":"2024-03-01","asset_group":"environment","node_count":45,"render_seconds":12.3},{"row_id":"r2","date":"2024-03-02","asset_group":"character","node_count":120,"render_seconds":38.7},{"row_id":"r3","date":"2024-03-03","asset_group":"environment","node_count":60,"render_seconds":18.1}].

## When to prefer this

Choose this endpoint when you have compositing graph records with asset group labels and two numeric measures (node_count and render_seconds) and need both a categorical frequency breakdown and a pairwise correlation analysis in a single call. It is purpose-built for creative production pipelines (VFX, motion graphics, 3D rendering) where understanding scene complexity vs render cost is important. Prefer it over generic stats services when your data matches the compositing graph schema and you want two bundled reports at minimal cost.

## Known failure modes

- Fewer than 1 row supplied — request rejected due to minItems:1 constraint
- More than 200 rows supplied — request rejected due to maxItems:200 constraint
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- All node_count or render_seconds values are null — correlation report may be undefined or empty
- Payment of 0.01 USDC not fulfilled — x402 payment required error

## How this service works

Compositing graphs — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied compositing graphs records (node_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 independent analytical reports: (1) a category frequency table showing how many records belong to each asset_group value, and (2) a two-measure correlation analysis quantifying the statistical relationship between node_count and render_seconds across the supplied rows. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "node_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
     },
     "node_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "render_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "node_count": 10,
     "asset_group": "group-a",
     "render_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "node_count": 20,
     "asset_group": "group-b",
     "render_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "node_count": 15,
     "asset_group": "group-a",
     "render_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "node_count": 30,
     "asset_group": "group-b",
     "render_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/compositing-graphs-category-frequencies-two-measure-correlation-6dc875ea/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)