# Compositing Graphs — Exact Row Deduplication + Secondary-Measure Weighted Mean

> Compositing Graphs — Exact Row Deduplication + Secondary-Measure Weighted Mean 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).

Deduplicates compositing graph rows exactly and computes a secondary-measure weighted mean for node_count or render_seconds, returning 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-051?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-exact-row-deduplication-secondary-measure-weighted-c17d0e9e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kDLL7l7q4l3qespFZv_hA

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-exact-row-deduplication-secondary-measure-weighted-c17d0e9e -d '<json body>'
```

Example prompt: I have a list of compositing graph records with node counts and render times — can you deduplicate them exactly and compute the weighted mean of render_seconds, using these 4 rows: row-1 (group-a, 2026-10-01, node_count=10, render_seconds=1), row-2 (group-b, 2026-10-02, node_count=20, render_seconds=2), row-3 (group-a, 2026-10-03, node_count=15, render_seconds=3), row-4 (group-b, 2026-10-04, node_count=30, render_seconds=4)?

## When to prefer this

Choose this endpoint when you have compositing graph records (with node_count and render_seconds fields) that need both exact duplicate removal and a weighted mean computation in a single call. It is purpose-built for compositing/rendering pipeline data analytics and returns two independent reports per call, making it efficient for cross-validation. It requires no live data lookup or external enrichment — ideal for batch analytical workflows on supplied data only.

## Known failure modes

- Exceeds 200 row limit — request rejected
- Missing required fields (row_id, asset_group, date, node_count, or render_seconds) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Field value out of allowed numeric range — rejected
- Empty rows array — schema minimum violation

## How this service works

Compositing graphs — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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 local analytical reports per call: (1) deduplicated compositing graph rows with exact duplicate rows removed, and (2) a secondary-measure weighted mean for the selected field (node_count or render_seconds) computed across the supplied records. No external data is fetched; all computation is done on the supplied rows (up to 200).

## 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-exact-row-deduplication-secondary-measure-weighted-c17d0e9e/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)