# Compositing Graphs — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill

> Compositing Graphs — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Computes a secondary-measure weighted mean and fills missing values in compositing graph records (node_count, render_seconds), processing up to 200 rows across 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-187?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/compositing-graphs-secondary-measure-weighted-mean-explicit-missing-caf0b614
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_l8-RkTGCPvgzNwg8dswAb

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-secondary-measure-weighted-mean-explicit-missing-caf0b614 -d '<json body>'
```

Example prompt: I have compositing graph records with node_count and render_seconds for asset groups — can you compute a secondary-measure weighted mean of render_seconds (weighted by node_count) and fill any missing values using median imputation? Here are up to 200 rows across my groups.

## When to prefer this

Choose this endpoint when you have compositing graph tabular data (node_count and render_seconds) with potential missing values and need both weighted mean aggregation and null imputation in a single call at low cost ($0.01 USDC for 2 reports, up to 200 rows). Prefer this over generic data tools when working specifically with rendering pipeline metrics organized by asset group and date, and when you need local analytical computation without any external lookups or live data dependencies.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, asset_group) cause row rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- All-null field values may produce undefined weighted mean output
- Malformed JSON input returns a 400-level error

## How this service works

Compositing graphs — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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

Returns up to 2 analytical reports per call: a secondary-measure weighted mean result (where one numeric field weights the other) and an explicit missing-value fill result for the supplied compositing graph records. Reports include per-group aggregated statistics covering node_count and render_seconds fields across 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/compositing-graphs-secondary-measure-weighted-mean-explicit-missing-caf0b614/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)