# Render Jobs Adjacent Row Changes and Explicit Missing-Value Fill

> Render Jobs Adjacent Row Changes and Explicit 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 2026-10-31).

Analyzes render job records (render_seconds, sample_count) to produce adjacent row change reports and fill missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-162?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/render-jobs-adjacent-row-changes-and-explicit-missing-value-fill-78d2157f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x0nmzrhh-hnYwT-x1ZieM

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-adjacent-row-changes-and-explicit-missing-value-fill-78d2157f -d '<json body>'
```

Example prompt: I have a list of up to 50 render job records with render_seconds and sample_count — can you run an adjacent row changes report on render_seconds and also fill any missing values using median imputation?

## When to prefer this

Choose this endpoint when you have tabular render job data with render_seconds or sample_count fields and need both row-to-row change detection and missing-value imputation in a single low-cost call. Ideal for creative pipeline QA workflows where you want to clean and audit data locally without external lookups or predictions. Best for batch sizes up to 200 rows where two combined analytical reports add efficiency over separate calls.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Unknown fill method value outside zero/mean/median enum — rejected
- Missing required fields (row_id, date) on any row — schema error
- Numeric values outside allowed range (-1e12 to 1e12) — validation failure

## How this service works

Render jobs — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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 for the submitted render job rows: (1) an adjacent row changes report showing delta values between consecutive rows for the selected field, and (2) a dataset with missing values in the selected field explicitly filled using the chosen method (zero, mean, or median). Up to 200 rows processed per call.

## 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-adjacent-row-changes-and-explicit-missing-value-fill-78d2157f/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)