# Render Jobs Numeric Row Ordering + Trailing Mean Series

> Render Jobs Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Analyzes render job records by sorting rows numerically and computing a trailing moving-average series over render_seconds or sample_count, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-115?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/render-jobs-numeric-row-ordering-trailing-mean-series-60587b90
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_khTOYa3God1Uzg__DGfSH

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-trailing-mean-series-60587b90 -d '<json body>'
```

Example prompt: Can you rank my render job rows numerically by render_seconds and also compute a trailing mean series with a window of 3, using this data: row-1 group-a 2026-10-01 render_seconds=10 sample_count=1, row-2 group-b 2026-10-02 render_seconds=20 sample_count=2, row-3 group-a 2026-10-03 render_seconds=15 sample_count=3?

## When to prefer this

Choose this endpoint when you have up to 200 render job records and need both a numeric ordering of rows and a rolling/trailing mean time series in a single API call for $0.01 USDC. It is ideal for creative production pipelines where you want to rank jobs by render time or sample count and simultaneously identify moving-average trends, without any external data lookups or live predictions.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum row limit
- Window size larger than number of rows — trailing mean series may be undefined or empty
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, render_seconds, sample_count) — request rejected
- Invalid field enum value (not render_seconds or sample_count) — schema validation error

## How this service works

Render jobs — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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 numeric row ordering of the supplied render job rows ranked by the selected field (render_seconds or sample_count), and (2) a trailing moving-average series computed over the chosen field with the specified window size. Both reports operate on the supplied data locally 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-numeric-row-ordering-trailing-mean-series-60587b90/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)