# Render Jobs Numeric Row Ordering + IQR Outlier Flags

> Render Jobs Numeric Row Ordering + IQR Outlier Flags 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).

Sorts render job records by a numeric field and flags statistical outliers using the interquartile range (IQR) method, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-119?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-numeric-row-ordering-iqr-outlier-flags-40666bc7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_m8BxNfzA-l16CO90PkGnw

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-numeric-row-ordering-iqr-outlier-flags-40666bc7 -d '<json body>'
```

Example prompt: I have a batch of render job records with render_seconds and sample_count — can you sort them numerically by render_seconds and flag any IQR outliers? Here are up to 50 rows with row IDs, asset groups, and dates.

## When to prefer this

Choose this endpoint when you have up to 200 render job records and need both a numeric sort and IQR-based outlier detection in a single call without any external data lookups, predictions, or integrations. It is ideal for quick QA of rendering pipeline data, pre-report auditing, or identifying anomalous jobs before escalation. Prefer it over general analytics tools when you specifically need IQR outlier flagging on render_seconds or sample_count fields with minimal cost ($0.01 USDC per call).

## Known failure modes

- Fewer than 1 row submitted returns an error
- More than 200 rows submitted exceeds limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) causes rejection
- Null numeric values may affect IQR computation
- Field selector not in enum ['render_seconds','sample_count'] causes validation error

## How this service works

Render jobs — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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 reports: one with rows ordered by the selected numeric field (render_seconds or sample_count) and one with IQR-based outlier flags indicating which rows fall outside the interquartile range boundaries. All analysis is performed locally on the 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-numeric-row-ordering-iqr-outlier-flags-40666bc7/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)