# Render Jobs Quality Audit and Numeric Row Ordering

> Render Jobs Quality Audit and Numeric Row Ordering 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).

Performs a record quality audit and numeric row ordering on up to 200 render job records (render_seconds, sample_count), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-007?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-quality-audit-and-numeric-row-ordering-9f75ddbf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IdFKP22ikkuw_NimSpfWv

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-quality-audit-and-numeric-row-ordering-9f75ddbf -d '<json body>'
```

Example prompt: Can you run a quality audit and numeric row ordering on these render job records — I have rows with render_seconds and sample_count fields for asset groups across several dates, up to about 50 rows — and give me the two reports for the render_seconds field?

## When to prefer this

Choose this endpoint when you need a combined data quality audit and numeric ordering for render job records (render_seconds or sample_count) in a single low-cost call. It is best suited for creative/3D production pipelines where you want to validate data integrity and rank rows numerically without making external API calls or predictions. Not suitable for live data lookups, predictive analytics, or datasets exceeding 200 rows.

## Known failure modes

- Fewer than 1 row submitted — minimum of 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, date, asset_group) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Invalid field enum value (must be render_seconds or sample_count) — schema rejection
- All values null for the selected numeric field — limited or empty ordering report

## How this service works

Render jobs — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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 analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or anomalies in the specified numeric field (render_seconds or sample_count); and (2) a numeric row ordering of the submitted rows ranked by the chosen field. Both reports are computed locally from supplied data only, 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-quality-audit-and-numeric-row-ordering-9f75ddbf/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)