# Render Jobs — Record Quality Audit + String Normalisation + Numeric Row Ordering

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

Audits data quality, normalises strings, and orders rows numerically for render job records (render_seconds, sample_count) — up to 200 rows, 3 independent reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-196?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-string-normalisation-numeric-row-90710289
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hdKT6Tfi7b_q_GuHKfrbl

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-string-normalisation-numeric-row-90710289 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and numeric row ordering on these render job records — 4 rows with fields row_id, asset_group, date, render_seconds, and sample_count — and sort by render_seconds?

## When to prefer this

Choose this endpoint when you need offline, local analytical processing of render job tabular data and want three combined reports (quality audit, string normalisation, numeric ordering) in a single low-cost call. It is ideal for media production pipelines needing pre-flight data QA before downstream reporting, and when no live lookups or external predictions are needed.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, render_seconds, sample_count) — row validation errors
- Malformed date strings not matching YYYY-MM-DD pattern — validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Invalid field selector (not 'render_seconds' or 'sample_count') — enum validation error

## How this service works

Render jobs — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied render jobs records (render_seconds, sample_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit highlighting missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report for fields like asset_group; and (3) a numeric row ordering report ranking rows by the chosen field (render_seconds or sample_count). All processing is local 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-record-quality-audit-string-normalisation-numeric-row-90710289/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)