# Compositing Graphs — Category Frequencies + Adjacent Row Changes

> Compositing Graphs — Category Frequencies + Adjacent Row Changes 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 (node_count or render_seconds) to produce category frequency distributions and adjacent row change reports in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-104?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-adjacent-row-changes-e59ce153
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tlIC_DCRm5hszvDptvCSE

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-adjacent-row-changes-e59ce153 -d '<json body>'
```

Example prompt: Can you analyze my compositing graph data — I have 4 rows with node counts (10, 20, 15, 30) across asset groups A and B on dates 2026-10-01 through 2026-10-04 — and give me both the category frequencies and the adjacent row changes for node_count?

## When to prefer this

Choose this endpoint when you need two complementary views — category frequency distribution and sequential row-to-row change detection — on compositing graph data (node_count or render_seconds) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where all data is supplied directly rather than fetched live, making it suitable for offline or agent-embedded analytics pipelines in VFX or rendering contexts.

## Known failure modes

- Exceeding 200 rows causes rejection — trim dataset to fit the limit
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- Field selector must be exactly 'node_count' or 'render_seconds' — other values are rejected
- Empty rows array returns an error — at least 1 row is required

## How this service works

Compositing graphs — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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 category frequency table showing how often each asset_group value appears in the supplied rows, and (2) an adjacent row change report showing the difference in the selected numeric field (node_count or render_seconds) between consecutive rows — both computed locally on up to 200 supplied records.

## 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-adjacent-row-changes-e59ce153/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)