# Render Jobs Grouped Numeric Summary and Two-Measure Correlation

> Render Jobs Grouped Numeric Summary and 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).

Computes a grouped numeric summary and a two-measure correlation report for up to 200 render job records across render_seconds and sample_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-095?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-grouped-numeric-summary-and-two-measure-correlation-3c9280c2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gpnIpLt-O3xYFCiGJr3SW

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-grouped-numeric-summary-and-two-measure-correlation-3c9280c2 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and correlation analysis on my render job data? I have rows with asset_group, date, render_seconds, and sample_count — group them by asset_group and correlate render_seconds against sample_count for up to 200 rows.

## When to prefer this

Choose this endpoint when you have tabular render job data (up to 200 rows) and need both a grouped descriptive summary and a pairwise correlation between render_seconds and sample_count in a single low-cost call. It is ideal for media production pipelines, render farm analytics, or any workflow where you want offline statistical analysis without sending data to an external prediction or ML service.

## Known failure modes

- Input array exceeds 200 rows — rejected with validation error
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- All null values for a numeric field may produce undefined or degenerate correlation results
- Fewer than 2 rows may produce statistically meaningless correlation output
- Payment of 0.01 USDC not fulfilled via x402 protocol causes 402 response

## How this service works

Render jobs — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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 independent analytical reports: (1) a grouped numeric summary of the selected numeric field (render_seconds or sample_count) broken down by asset_group, and (2) a two-measure correlation analysis between render_seconds and sample_count across the supplied rows. Both reports are computed locally from the provided data with no external lookups.

## 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
  },
  "field": {
   "enum": [
    "render_seconds",
    "sample_count"
   ],
   "type": "string",
   "default": "render_seconds"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-grouped-numeric-summary-and-two-measure-correlation-3c9280c2/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)