# Compositing Graphs — Category Frequencies + IQR Outlier Flags

> Compositing Graphs — Category Frequencies + IQR Outlier Flags 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 compositing graph records to produce category frequency distributions and IQR-based outlier flags for node_count or render_seconds fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-107?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-iqr-outlier-flags-c1d37975
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5T9rq8OaQNY5eYgKmcX7t

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-iqr-outlier-flags-c1d37975 -d '<json body>'
```

Example prompt: I have a list of compositing graph records with asset groups, dates, node counts, and render times — can you analyze them for category frequencies and flag any IQR outliers in the node_count field? Here's the data: [{"row_id":"r1","asset_group":"bg-layer","date":"2026-10-01","node_count":45,"render_seconds":12}, {"row_id":"r2","asset_group":"fx-layer","date":"2026-10-02","node_count":300,"render_seconds":8}].

## When to prefer this

Choose this endpoint when you have compositing graph records (with asset_group, node_count, and render_seconds fields) and need both a categorical frequency summary and IQR-based outlier detection in a single low-cost call. Ideal for pipeline QA, batch job auditing, or anomaly detection on rendering data without requiring an external analytics platform.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows causes rejection due to maxItems limit
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes row rejection
- Invalid field enum value (not node_count or render_seconds) returns error
- Numeric values outside ±1 trillion range are rejected

## How this service works

Compositing graphs — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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 statistical reports: (1) a category frequency distribution showing how often each asset_group value appears in the supplied rows, and (2) IQR-based outlier flags for the selected numeric field (node_count or render_seconds), identifying which rows fall outside the interquartile range threshold. Results 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
  },
  "field": {
   "enum": [
    "node_count",
    "render_seconds"
   ],
   "type": "string",
   "default": "node_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/compositing-graphs-category-frequencies-iqr-outlier-flags-c1d37975/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)