# Render Jobs Grouped Numeric Summary + Date by Category Pivot

> Render Jobs Grouped Numeric Summary + 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).

Produces two analytical reports for render job records: a grouped numeric summary and a date-by-category pivot table for render_seconds or sample_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-097?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-grouped-numeric-summary-date-by-category-pivot-be696e41
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e0bnKiExmWfiLuj9eRkIl

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-grouped-numeric-summary-date-by-category-pivot-be696e41 -d '<json body>'
```

Example prompt: Analyze these render job records and give me both a grouped numeric summary and a date-by-category pivot for render_seconds: row-1 (group-a, 2026-10-01, 10s, 1 sample), row-2 (group-b, 2026-10-02, 20s, 2 samples), row-3 (group-a, 2026-10-03, 15s, 3 samples), row-4 (group-b, 2026-10-04, 30s, 4 samples).

## When to prefer this

Choose this endpoint when you have render job records with asset group and date dimensions and need both a grouped numeric summary and a pivot table in a single call for up to 200 rows. It is ideal for creative pipeline analytics where you want to compare render_seconds or sample_count across groups and dates without building your own aggregation logic. Prefer it over general analytics APIs when the data is already structured with asset_group and date fields matching this schema.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Null values in render_seconds or sample_count may affect aggregation results
- Invalid field enum value (not 'render_seconds' or 'sample_count') causes schema rejection
- row_id missing or empty string triggers required field validation error

## How this service works

Render jobs — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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 grouped numeric summary aggregating render_seconds or sample_count by asset_group (e.g. min, max, mean, sum, count), and (2) a date-by-category pivot table showing how the selected metric varies across asset groups over time. Both reports are computed from the supplied row data using local analytical engines, 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-grouped-numeric-summary-date-by-category-pivot-be696e41/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)