# Render Jobs Numeric Row Ordering and Missing-Value Fill

> Render Jobs Numeric Row Ordering and Missing-Value Fill 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 numerically by row and fills missing values in render_seconds or sample_count using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-124?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-and-missing-value-fill-bcaf0017
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BmmHdyaeDyxQykQljFlKg

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-and-missing-value-fill-bcaf0017 -d '<json body>'
```

Example prompt: Sort my render job records numerically by row and fill any missing render_seconds values using median imputation — here are my rows with dates, asset groups, render_seconds, and sample_counts, up to 200 entries, and I want both analytical reports.

## When to prefer this

Choose this endpoint when you have up to 200 render job records (with render_seconds and/or sample_count fields) that need numeric row ordering and missing-value imputation, and you want two structured analytical reports delivered cheaply ($0.01 USDC) without any external lookup or live data enrichment. Prefer this over general data-cleaning tools when your data is specifically structured around render pipeline fields (asset_group, date, render_seconds, sample_count).

## Known failure modes

- Fewer than 1 row supplied returns an error
- More than 200 rows exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Unsupported fill method value outside zero/mean/median is rejected
- Numeric values outside allowed range (±1,000,000,000,000) are rejected
- Missing required fields (row_id, asset_group, date) cause row-level errors

## How this service works

Render jobs — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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 on the supplied render job records: one showing numerically ordered rows and one with missing values in the specified field (render_seconds or sample_count) filled using the chosen method (zero, mean, or median). No external data is fetched; all computation uses the supplied rows only.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-numeric-row-ordering-and-missing-value-fill-bcaf0017/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)