# Render Jobs Analytics: Category Frequencies + Two-Measure Correlation

> Render Jobs Analytics: Category Frequencies + Two-Measure Correlation 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 render job records to produce category frequency distributions by asset group and a correlation analysis between render_seconds and sample_count.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-108?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/render-jobs-analytics-category-frequencies-two-measure-correlation-a2c27b5f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gaYcT48RAplgbdlo4t9gr

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 render-jobs-analytics-category-frequencies-two-measure-correlation-a2c27b5f -d '<json body>'
```

Example prompt: Can you run a category frequency breakdown and a correlation analysis between render_seconds and sample_count on my render job data? Here are up to 200 rows with fields: row_id, asset_group, date, render_seconds, and sample_count — I want to know how often each asset group appears and whether longer render times correlate with higher sample counts.

## When to prefer this

Choose this endpoint when you have tabular render job records with asset group labels and two numeric measures (render_seconds, sample_count) and need both a frequency distribution of categories AND a correlation between the two measures in a single low-cost call ($0.01 USDC). It operates entirely on supplied data — no external lookups — making it fast, deterministic, and suitable for offline or batch analytical workflows of up to 200 rows.

## Known failure modes

- Missing required fields (row_id, asset_group, date, render_seconds, or sample_count) will cause validation errors
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null values in render_seconds or sample_count may affect correlation computation
- Empty rows array (minItems: 1 not met) will return an error

## How this service works

Render jobs — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied render jobs records (render_seconds, sample_count). 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 two analytical reports: (1) a category frequency table showing how many render job records fall into each asset_group, and (2) a two-measure correlation report quantifying the statistical relationship between render_seconds and sample_count across the submitted rows. Covers up to 200 rows per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "render_seconds",
     "sample_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "render_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "sample_count": 1,
     "render_seconds": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "sample_count": 2,
     "render_seconds": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "sample_count": 3,
     "render_seconds": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "sample_count": 4,
     "render_seconds": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-analytics-category-frequencies-two-measure-correlation-a2c27b5f/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)