# Compositing Graphs — Two-Measure Correlation + Secondary-Measure Weighted Mean

> Compositing Graphs — Two-Measure Correlation + 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 2026-10-22).

Computes two-measure correlation and secondary-measure weighted mean for compositing graph records (node_count, render_seconds) on up to 200 supplied rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-181?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/compositing-graphs-two-measure-correlation-secondary-measure-weighted-95f4d2f0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L_xBstivmrFB6IlukL11c

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-two-measure-correlation-secondary-measure-weighted-95f4d2f0 -d '<json body>'
```

Example prompt: Run a two-measure correlation between node_count and render_seconds plus a weighted mean of render_seconds on my compositing graph data — here are 4 rows: row-1 on 2026-10-01 group-a node_count=10 render_seconds=1, row-2 on 2026-10-02 group-b node_count=20 render_seconds=2, row-3 on 2026-10-03 group-a node_count=15 render_seconds=3, row-4 on 2026-10-04 group-b node_count=30 render_seconds=4, and use node_count as the secondary field for the weighted mean.

## When to prefer this

Choose this endpoint when you have compositing graph records with node_count and render_seconds measurements and need both a two-measure correlation and a secondary-measure weighted mean in a single paid API call. It is purpose-built for creative production pipeline analytics on datasets up to 200 rows, returning two reports for $0.01 USDC. Prefer it over general-purpose statistics tools when you specifically need these two combined analyses on compositing graph data without setting up external compute infrastructure.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with maxItems violation
- Missing required fields (row_id, date, asset_group, node_count, render_seconds) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in both numeric columns preventing correlation computation — may return NaN or error
- Invalid enum value for 'field' parameter — schema rejection

## How this service works

Compositing graphs — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + 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 independent analytical reports: (1) a Pearson or equivalent two-measure correlation coefficient between node_count and render_seconds across all supplied rows, and (2) a weighted mean of the selected secondary measure (node_count or render_seconds) computed from the supplied dataset. Both reports are computed locally using shared analytical engines 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-two-measure-correlation-secondary-measure-weighted-95f4d2f0/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)