# Render Jobs Histogram & Date-by-Category Pivot Analyzer

> Render Jobs Histogram & Date-by-Category Pivot Analyzer 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 two local analytical reports — an equal-width histogram and a date-by-category pivot — for up to 200 render job records containing render_seconds and sample_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-173?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-histogram-date-by-category-pivot-analyzer-8f8cec32
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rNvZa0kMXN1mly27YEmMU

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-histogram-date-by-category-pivot-analyzer-8f8cec32 -d '<json body>'
```

Example prompt: Analyze my render job records — here are 50 rows with render_seconds and sample_count, each tagged with an asset_group and date — give me an equal-width histogram of render_seconds using 10 bins and a date-by-category pivot, all in one call.

## When to prefer this

Choose this endpoint when you have up to 200 render job records and need both a histogram distribution and a date-by-category pivot in a single, low-cost call. It is ideal for local analytical summaries of creative pipeline data (render times, sample counts) without requiring an external database, live data connection, or bespoke analytics infrastructure. Prefer it over generic analytics services when working with render job schemas that include asset_group, date, render_seconds, and sample_count.

## Known failure modes

- Rows array is empty or missing — validation error
- More than 200 rows submitted — rejected with max-items error
- Invalid date format in any row (must be YYYY-MM-DD) — schema validation failure
- Bins value outside 1–30 range — rejected
- Field value not in enum ['render_seconds','sample_count'] — schema error
- Null values in the selected numeric field may reduce histogram coverage
- Missing required row fields (row_id, asset_group, date) cause row-level rejection

## How this service works

Render jobs — Equal-width histogram + Date by category pivot: Equal-width histogram + 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 independent analytical reports: (1) an equal-width histogram showing the frequency distribution of the selected numeric field (render_seconds or sample_count) divided into the specified number of bins, and (2) a date-by-category pivot table summarizing values grouped by date and asset_group. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-histogram-date-by-category-pivot-analyzer-8f8cec32/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)