# Render Jobs Record Quality Audit + Explicit Missing-Value Fill

> Render Jobs Record Quality Audit + 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 2026-10-22).

Audits data quality and fills missing values in render job records (render_seconds, sample_count) for up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-019?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-record-quality-audit-explicit-missing-value-fill-a2d3947c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HXo7vBLF2hzhForyUhfJ2

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-record-quality-audit-explicit-missing-value-fill-a2d3947c -d '<json body>'
```

Example prompt: Can you audit the quality of these render job records and fill in any missing render_seconds values using the median method? I have about 50 rows with columns row_id, asset_group, date, render_seconds, and sample_count.

## When to prefer this

Choose this endpoint when you have render job tabular data (up to 200 rows) and need both a quality audit and missing-value imputation in a single low-cost call. It is ideal for preprocessing rendering pipeline logs before downstream analysis, when you need a combined quality + imputation report without building custom analytical logic. Best suited for offline/batch data cleaning tasks rather than real-time streaming data.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields (row_id, asset_group, date) in any row
- Invalid method enum value outside zero/mean/median
- Invalid field enum value outside render_seconds/sample_count
- Empty rows array (minItems: 1 not satisfied)
- Payment of 0.01 USDC not completed — 402 response

## How this service works

Render jobs — Record quality audit + Explicit missing-value fill: Record quality audit + 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

Two independent reports: (1) a record quality audit identifying data issues, completeness gaps, and anomalies across the submitted render job rows; (2) an explicit missing-value fill report showing imputed values for the specified field (render_seconds or sample_count) using the chosen method (zero, mean, or median). No external lookups or predictions are made; all analysis is performed on the supplied data 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-record-quality-audit-explicit-missing-value-fill-a2d3947c/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)