# Render Jobs — Category Frequencies + Base-100 Series

> Render Jobs — Category Frequencies + Base-100 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).

Analyzes render job records to produce category frequency distributions and a base-100 indexed time series for render_seconds or sample_count, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-105?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-category-frequencies-base-100-series-9176c9a0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J684eluBLDC7VkqUSbQcH

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-category-frequencies-base-100-series-9176c9a0 -d '<json body>'
```

Example prompt: Can you run two reports on my render job data — a category frequency breakdown and a base-100 indexed series for render_seconds, starting from row index 0? Here are my rows: group-a rendered 10s on 2026-10-01 with 1 sample, group-b 20s on 2026-10-02 with 2 samples, group-a 15s on 2026-10-03 with 3 samples, group-b 30s on 2026-10-04 with 4 samples.

## When to prefer this

Choose this endpoint when you have up to 200 render job records and need both a categorical frequency breakdown and a base-100 normalized trend series in a single low-cost call. It is ideal for creative pipeline analytics where you want to understand workload distribution by asset group and track relative growth of render time or sample counts without setting up your own analytical infrastructure.

## Known failure modes

- Missing required fields (row_id, date, asset_group, render_seconds, sample_count) cause validation errors
- Supplying more than 200 rows exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- base_index out of range 0–199 causes a parameter error
- Null values in render_seconds or sample_count may affect index computation
- Payment of 0.01 USDC not included or rejected causes a 402 response

## How this service works

Render jobs — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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

Returns two analytical reports: (1) category frequency counts showing how often each asset_group value appears in the supplied rows, and (2) a base-100 indexed time series for the selected field (render_seconds or sample_count), normalized so the row at base_index equals 100. Both reports are computed locally from the supplied data 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-category-frequencies-base-100-series-9176c9a0/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)