# Render Jobs IQR Outlier Flags + Two-Measure Correlation

> Render Jobs IQR Outlier Flags + 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 IQR-based outlier flags and a two-measure Pearson/Spearman correlation report for up to 200 render job records across render_seconds and sample_count.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-176?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-iqr-outlier-flags-two-measure-correlation-28059a11
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ty4UOknMztgbMF4oBe5eE

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-iqr-outlier-flags-two-measure-correlation-28059a11 -d '<json body>'
```

Example prompt: Can you check my render job logs for outliers and see if render_seconds and sample_count are correlated? Here are the rows: row-1 on 2026-10-01 for group-a with render_seconds=120 and sample_count=50, row-2 on 2026-10-02 for group-b with render_seconds=15 and sample_count=200, row-3 on 2026-10-03 for group-a with render_seconds=118 and sample_count=48 — use render_seconds as the primary field for the outlier analysis.

## When to prefer this

Choose this endpoint when you need both IQR-based outlier detection and a two-measure correlation analysis on render job data (render_seconds and sample_count) in a single call for up to 200 rows. It is ideal for rendering pipeline QA, performance audits, and anomaly detection workflows where no external data enrichment or prediction is needed — just local statistical computation on supplied records.

## Known failure modes

- Fewer than 1 row submitted — minimum row count violation
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, render_seconds, or sample_count) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum value (must be render_seconds or sample_count)
- Payment not included or insufficient — x402 payment of 0.01 USDC required

## How this service works

Render jobs — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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 for the submitted render job rows: (1) IQR outlier flags identifying which rows fall outside the interquartile range for the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between render_seconds and sample_count. Both reports are generated locally from supplied 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-iqr-outlier-flags-two-measure-correlation-28059a11/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)