# Render Jobs Numeric Interval Filter + Date by Category Pivot

> Render Jobs Numeric Interval Filter + 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).

Applies a numeric interval filter and a date-by-category pivot to supplied render job records (render_seconds, sample_count), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-133?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-numeric-interval-filter-date-by-category-pivot-a913a6da
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z59TLPcPQACeFOwRXQ5xO

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-numeric-interval-filter-date-by-category-pivot-a913a6da -d '<json body>'
```

Example prompt: I have render job records with asset groups and dates — can you filter for jobs where render_seconds is between 10 and 50, and also give me a pivot of render_seconds by date and asset_group? Here are up to 200 rows: row-1 on 2026-10-01, group-a, 10 render_seconds, 1 sample_count; row-2 on 2026-10-02, group-b, 20 render_seconds, 2 sample_count.

## When to prefer this

Choose this endpoint when you need both a range-based numeric filter AND a date-by-category pivot on render job data in a single paid call. It is purpose-built for render pipeline analytics (render_seconds, sample_count) and returns two reports simultaneously, making it more efficient than running separate filter and pivot operations. Best when your dataset is up to 200 rows and you need fast, local analytical results without external lookups or predictions.

## Known failure modes

- Rows array is empty or missing — validation error
- More than 200 rows supplied — request rejected
- date field does not match YYYY-MM-DD pattern — schema validation failure
- minimum value is greater than maximum value — may return empty filter results
- render_seconds or sample_count values outside allowed numeric range — schema rejection
- Required fields (row_id, asset_group, date) missing from any row — validation error

## How this service works

Render jobs — Numeric interval filter + Date by category pivot: Numeric interval filter + 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: (1) a numeric interval filter report showing render job rows where the selected field (render_seconds or sample_count) falls within the specified minimum–maximum range, and (2) a date-by-category pivot table aggregating the selected metric by date and asset_group. Both reports cover the supplied dataset of up to 200 rows.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-numeric-interval-filter-date-by-category-pivot-a913a6da/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)