# Render Jobs Numeric Distribution and Adjacent Row Changes Analyzer

> Render Jobs Numeric Distribution and Adjacent Row Changes 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).

Computes numeric distribution statistics and adjacent row change analysis for render job records (render_seconds, sample_count) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-077?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-and-adjacent-row-changes-analyzer-5886bbc0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4git8jejjuVfrvascrMNm

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-and-adjacent-row-changes-analyzer-5886bbc0 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and adjacent row changes analysis on these render job records — I have rows with date, asset_group, render_seconds, and sample_count fields — and analyze the render_seconds field specifically? I have about 50 rows to submit.

## When to prefer this

Choose this endpoint when you need offline, supply-side statistical analysis of render job performance data — specifically numeric distribution and sequential row-change patterns — without requiring live lookup or external data enrichment. It is ideal for render pipeline audits, batch QA reviews, or creative production analytics where you already have the data and need two complementary statistical views in a single low-cost call.

## Known failure modes

- Missing required fields (row_id, date, render_seconds, sample_count) causes validation error
- Exceeding 200 row limit results in rejection
- Invalid date format (non-YYYY-MM-DD) causes schema validation failure
- Null values in numeric fields may affect distribution completeness
- Invalid field enum value (not render_seconds or sample_count) causes error
- Empty rows array returns error due to minItems:1 constraint

## How this service works

Render jobs — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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 report showing statistical properties (min, max, mean, percentiles, etc.) of the selected field (render_seconds or sample_count), and (2) an adjacent row changes report showing value differences between consecutive rows for the selected field, across up to 200 supplied render job records.

## 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-numeric-distribution-and-adjacent-row-changes-analyzer-5886bbc0/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)