# Render Jobs Numeric Distribution + Trailing Mean Series Analyzer

> Render Jobs Numeric Distribution + Trailing Mean Series 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 analytical reports — a numeric distribution and a trailing mean series — for supplied render job records (render_seconds or sample_count).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-076?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-distribution-trailing-mean-series-analyzer-c40675dd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xLoZWT1XPx4gNVfdj85Y0

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-distribution-trailing-mean-series-analyzer-c40675dd -d '<json body>'
```

Example prompt: Can you run a numeric distribution and trailing mean analysis (window of 5) on my render job data — I have rows with render_seconds and sample_count fields across asset groups, and I want to analyze render_seconds specifically?

## When to prefer this

Choose this endpoint when you have up to 200 render job records and need both a statistical distribution and a rolling mean trend for render_seconds or sample_count in a single call. It is ideal for offline/batch analysis of rendering pipeline performance without needing real-time lookups or external data. Prefer it over general-purpose analytics when your data fits the render jobs schema (row_id, date, asset_group, render_seconds, sample_count) and you want two complementary views — spread and trend — at low cost.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum limit
- Missing required fields (row_id, date, render_seconds, sample_count) in one or more rows
- Invalid date format (must match YYYY-MM-DD)
- Window parameter less than 2 or exceeds number of rows — trailing mean may be undefined
- Non-numeric values in render_seconds or sample_count fields
- Payment of 0.01 USDC not fulfilled — x402 payment required

## How this service works

Render jobs — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean 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

Two independent analytical reports: (1) a numeric distribution (e.g. histogram/frequency breakdown) of the selected field (render_seconds or sample_count), and (2) a trailing mean series computed over a specified rolling window for the same field, both derived from the supplied render job 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-numeric-distribution-trailing-mean-series-analyzer-c40675dd/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)