# Render Jobs String Normalisation + Date by Category Pivot

> Render Jobs String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Runs two local analytical reports on render job records: string normalisation and a date-by-category pivot, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-035?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/render-jobs-string-normalisation-date-by-category-pivot-08f56449
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iC1HLeZnzJaBqhhLq47jw

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-string-normalisation-date-by-category-pivot-08f56449 -d '<json body>'
```

Example prompt: Can you normalize the strings and create a date-by-category pivot for these render job records? I have rows with render_seconds and sample_count for asset groups like 'group-a' and 'group-b' across dates in October 2026 — run both reports on the render_seconds field.

## When to prefer this

Choose this endpoint when you have up to 200 render job records and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for creative/media pipeline analytics where you want to clean asset group names and summarise render performance or sample counts by date and category without any external API calls or live data lookups.

## Known failure modes

- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) causes validation failure
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error
- Invalid field enum value (not render_seconds or sample_count) causes rejection
- Empty rows array is rejected
- Numeric values outside allowed range cause schema validation failure

## How this service works

Render jobs — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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 analytical reports delivered together: (1) a string-normalised version of the render job records, and (2) a date-by-category pivot table aggregating the chosen numeric field (render_seconds or sample_count) broken down by asset_group across dates. No external lookups or predictions are included.

## 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-string-normalisation-date-by-category-pivot-08f56449/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)