# Compositing Graphs — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean

> Compositing Graphs — Record Quality Audit + String Normalisation + 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 2026-10-21).

Runs three analytical reports on compositing graph records: a data quality audit, string normalisation, and a secondary-measure weighted mean calculation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-205?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/compositing-graphs-record-quality-audit-string-normalisation-bb10c773
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x4MsugPjeqSC8l__ncWqV

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-record-quality-audit-string-normalisation-bb10c773 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and weighted mean report on my compositing graph records — I have rows with node_count and render_seconds fields, and I want to analyse node_count specifically? Here are my rows: [{row_id: 'r1', asset_group: 'Group A', date: '2025-01-01', node_count: 120, render_seconds: 45}, {row_id: 'r2', asset_group: 'group a', date: '2025-01-02', node_count: 95, render_seconds: 60}].

## When to prefer this

Choose this endpoint when you need to simultaneously audit data quality, normalise categorical string fields, and compute a weighted mean on compositing graph records in a single low-cost call. Ideal for media production pipelines where node_count and render_seconds are the primary tracked metrics and you want three analytical views without calling separate services.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Field selector not matching enum values ('node_count' or 'render_seconds') causes error
- Payment of 0.01 USDC not supplied or declined blocks execution

## How this service works

Compositing graphs — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied compositing graphs records (node_count, render_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports covering: (1) a record quality audit flagging missing, out-of-range, or malformed values; (2) normalised versions of string fields like asset_group; and (3) a secondary-measure weighted mean computed over the selected numeric field (node_count or render_seconds) 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/compositing-graphs-record-quality-audit-string-normalisation-bb10c773/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)