# Texture Baking Numeric Distribution and IQR Outlier Flags

> Texture Baking Numeric Distribution and IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).

Computes numeric distribution statistics and IQR-based outlier flags for texture baking records (bake_seconds or texture_pixels) over up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-080?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-27
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-numeric-distribution-and-iqr-outlier-flags-3e09604b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CfS6KnmNklM_kGi36UTRJ

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 texture-baking-numeric-distribution-and-iqr-outlier-flags-3e09604b -d '<json body>'
```

Example prompt: Analyze the distribution and flag IQR outliers for my texture baking records — here are 10 rows with bake_seconds and texture_pixels values across two asset groups, and I want the report on bake_seconds specifically.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of texture baking pipeline data — specifically IQR-based outlier detection and numeric distribution summaries for bake_seconds or texture_pixels — without requiring any external data lookup or ML model. Best suited for QA audits, pipeline monitoring, and data validation workflows in 3D rendering or game development contexts where you have up to 200 structured baking records ready to submit.

## Known failure modes

- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds limit and is rejected
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Non-numeric values in bake_seconds or texture_pixels may be treated as null
- Invalid field enum value (not bake_seconds or texture_pixels) causes rejection
- row_id missing or empty string fails minLength constraint

## How this service works

Texture baking — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags for supplied texture baking records (bake_seconds, texture_pixels). 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 per call: (1) a numeric distribution summary (min, max, mean, median, quartiles, standard deviation, etc.) and (2) IQR-based outlier flags per row, identifying which records fall outside the interquartile range bounds — all computed locally on the supplied data without any external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "bake_seconds",
     "texture_pixels"
    ],
    "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
     },
     "bake_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "texture_pixels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "bake_seconds": 10,
     "texture_pixels": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "bake_seconds": 20,
     "texture_pixels": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "bake_seconds": 15,
     "texture_pixels": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "bake_seconds": 30,
     "texture_pixels": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "bake_seconds",
    "texture_pixels"
   ],
   "type": "string",
   "default": "bake_seconds"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-baking-numeric-distribution-and-iqr-outlier-flags-3e09604b/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)