# Render Jobs — Trailing Mean Series + IQR Outlier Flags

> Render Jobs — Trailing Mean Series + 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 2026-10-21).

Computes trailing moving average series and IQR-based outlier flags for render job records (render_seconds or sample_count) across up to 200 rows, producing 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-149?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/render-jobs-trailing-mean-series-iqr-outlier-flags-19205d97
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wzR4Ch79xBWCyzIZVSOFJ

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-trailing-mean-series-iqr-outlier-flags-19205d97 -d '<json body>'
```

Example prompt: I have 50 daily render job records with render_seconds and sample_count — can you compute a trailing mean series and flag IQR outliers for the render_seconds field using a window of 7?

## When to prefer this

Choose this endpoint when you have tabular render job data and need both a trailing mean time series and IQR outlier detection in a single call without setting up local analytics infrastructure. It is purpose-built for render pipeline data with render_seconds and sample_count fields, handles up to 200 rows, and delivers two reports for a flat $0.01 USDC — ideal for lightweight, on-demand render performance QA within agent workflows.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, render_seconds, sample_count) in any row
- Date format not matching YYYY-MM-DD pattern — validation error
- Window parameter outside 2–200 range — rejected
- Invalid field enum value (must be render_seconds or sample_count)
- Payment not completed — x402 payment required before processing

## How this service works

Render jobs — Trailing mean series + IQR outlier flags: Trailing mean series + 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

Two analytical reports per call: (1) a trailing moving-average time series for the selected field (render_seconds or sample_count) computed over the specified window, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. Results are computed locally from 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-trailing-mean-series-iqr-outlier-flags-19205d97/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)