# Render Jobs Data Quality Audit + String Normalisation + Daily Sum Series

> Render Jobs Data Quality Audit + String Normalisation + Daily Sum Series 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).

Runs three analytical reports on render job records — a record quality audit, string normalisation, and a daily sum time series — for up to 200 rows of render_seconds or sample_count data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-198?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-data-quality-audit-string-normalisation-daily-sum-series-45c32c3b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0t30ONCpiE5NyJkRUt6kK

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-data-quality-audit-string-normalisation-daily-sum-series-45c32c3b -d '<json body>'
```

Example prompt: Can you audit my render job data, normalise the asset group strings, and give me a daily sum series for render_seconds? Here are 4 rows: row-1 on 2026-10-01 for group-a with render_seconds=10 and sample_count=1, row-2 on 2026-10-02 for group-b with render_seconds=20 and sample_count=2, row-3 on 2026-10-03 for group-a with render_seconds=15 and sample_count=3, row-4 on 2026-10-04 for group-b with render_seconds=30 and sample_count=4.

## When to prefer this

Choose this endpoint when you need all three of a quality audit, string normalisation, and daily sum series on render job data in a single low-cost call ($0.01 USDC). It is ideal for pipelines that produce render_seconds or sample_count logs by asset group and date, and where offline analytical processing (no live lookups or external calls) is sufficient. It covers up to 200 rows per call.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- date field does not match YYYY-MM-DD pattern — validation error
- row_id missing or empty — schema validation failure
- numeric field values outside allowed range (±1,000,000,000,000) — rejected
- field enum value other than render_seconds or sample_count — invalid input error
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Render jobs — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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 bundled reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed dates; (2) normalised string representations of the asset_group field; and (3) a daily aggregated sum series for the chosen numeric field (render_seconds or sample_count), all computed locally 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-data-quality-audit-string-normalisation-daily-sum-series-45c32c3b/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)