# Render Jobs Base-100 Series + Date by Category Pivot

> Render Jobs Base-100 Series + 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 2026-10-17).

Generates a Base-100 index series and a date-by-category pivot table from supplied render job records (render_seconds, sample_count) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-167?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-base-100-series-date-by-category-pivot-d0df576f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UHk-rTRD2O7uOgh1leg8q

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-base-100-series-date-by-category-pivot-d0df576f -d '<json body>'
```

Example prompt: Can you run a base-100 index series and a date-by-category pivot on these render job records — indexing from row 0 on the render_seconds field? I have up to 50 rows with columns row_id, asset_group, date, render_seconds, and sample_count.

## When to prefer this

Choose this endpoint when you have raw render job records with date, asset_group, render_seconds, and/or sample_count fields and need both a time-normalized Base-100 index series and a date-by-category pivot in a single call. Ideal for creative production analytics pipelines, render farm performance benchmarking, or sprint-over-sprint comparisons across asset groups. It is not appropriate for live render monitoring, predictive modeling, or datasets exceeding 200 rows.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded, request rejected
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- base_index out of range (0–199) — validation error
- Null numeric values may affect index computation if base row has null render_seconds or sample_count
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — schema validation error
- Payment of 0.01 USDC not completed — x402 payment required before processing

## How this service works

Render jobs — Base-100 series + Date by category pivot: Base-100 series + 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

Returns two analytical reports: (1) a Base-100 index series for the chosen field (render_seconds or sample_count), normalized relative to the specified base row index, and (2) a date-by-category pivot table grouping the same field by date and asset_group. Both reports are computed locally from the supplied row data, with no external lookups or predictions.

## 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-base-100-series-date-by-category-pivot-d0df576f/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)