# Compositing Graphs — Category Frequencies + Trailing Mean Series

> Compositing Graphs — Category Frequencies + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Generates two analytical reports for compositing graph records: category frequency distribution and trailing moving average series for node_count or render_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-103?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-trailing-mean-series-40daeb40
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pIJIbAo-WkLDQ5uUS1hfT

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-trailing-mean-series-40daeb40 -d '<json body>'
```

Example prompt: Analyze my compositing graph data — here are 4 rows with asset groups 'group-a' and 'group-b' and render_seconds values over four days — give me the category frequencies and a trailing mean series for render_seconds with a window of 2.

## When to prefer this

Choose this endpoint when you have compositing graph pipeline records with asset group categories and numeric render/node metrics and need both a frequency distribution of categories AND a smoothed rolling average series in a single $0.01 call. Ideal for 3D/animation production analytics where you want to understand category composition and temporal trends simultaneously without external lookups or live data.

## Known failure modes

- Missing required fields (row_id, date, asset_group) causes validation failure
- Date values not matching YYYY-MM-DD pattern are rejected
- Window size outside 2–200 range causes parameter error
- Exceeding 200 rows returns an error or truncation
- Null numeric values may affect trailing mean computation
- Empty rows array is rejected

## How this service works

Compositing graphs — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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

Two independent analytical reports: (1) a frequency table showing how often each asset_group category appears in the supplied rows, and (2) a trailing moving average series for the chosen numeric field (node_count or render_seconds) computed over the specified window size, 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",
     "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
  },
  "field": {
   "enum": [
    "node_count",
    "render_seconds"
   ],
   "type": "string",
   "default": "node_count"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/compositing-graphs-category-frequencies-trailing-mean-series-40daeb40/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)
