# Render Jobs Numeric Distribution and Missing-Value Fill

> Render Jobs Numeric Distribution 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).

Analyzes up to 200 render job records to produce a numeric distribution report and fill missing values in render_seconds or sample_count using zero, mean, or median imputation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-085?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-distribution-and-missing-value-fill-0af3858e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bukCpuRpNSJsfnQRMV-oM

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-distribution-and-missing-value-fill-0af3858e -d '<json body>'
```

Example prompt: I have a batch of render job records with dates, asset groups, render_seconds, and sample_counts — some values are missing. Can you give me a numeric distribution report for render_seconds and fill any missing render_seconds values using median imputation, across these 200 rows?

## When to prefer this

Choose this endpoint when you need both a numeric distribution summary and missing-value imputation for render job records (render_seconds or sample_count) in a single $0.01 call, without needing live data lookups, external integrations, or predictions. It is ideal for offline batch quality checks on up to 200 rows of rendering pipeline data where speed and low cost matter more than advanced ML-based imputation.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unrecognized fill method or field enum value — schema validation error
- All values in the target field are null — distribution report may be empty or degenerate
- row_id missing or exceeds 80 characters — schema rejection

## How this service works

Render jobs — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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 supplied render job rows: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, histogram buckets) for the specified field (render_seconds or sample_count), and (2) an explicit missing-value fill report showing which rows had nulls and what imputed values were assigned using the chosen method (zero, mean, or median). Covers up to 200 rows with no external data 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-numeric-distribution-and-missing-value-fill-0af3858e/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)