# Texture Baking Analytics — Duplicate Key Report + Grouped Numeric Summary

> Texture Baking Analytics — Duplicate Key Report + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Analyzes supplied texture baking records to produce a duplicate key report and a grouped numeric summary for bake_seconds or texture_pixels fields, processing up to 200 rows locally.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-056?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-analytics-duplicate-key-report-grouped-numeric-summary-c64d3f52
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gxhG8GjNl-qnd4gGSekGG

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-analytics-duplicate-key-report-grouped-numeric-summary-c64d3f52 -d '<json body>'
```

Example prompt: I have some texture baking records with row IDs, asset groups, dates, bake_seconds, and texture_pixels — can you run a duplicate key report and a grouped numeric summary on them, focusing on the bake_seconds field? Here are the rows: row-1 (group-a, 2026-10-01, 10s, 1px), row-2 (group-b, 2026-10-02, 20s, 2px), row-3 (group-a, 2026-10-03, 15s, 3px), row-4 (group-b, 2026-10-04, 30s, 4px).

## When to prefer this

Choose this endpoint when you need both a duplicate key check and a grouped numeric summary on texture baking data (bake_seconds or texture_pixels) in a single low-cost call ($0.01 USDC). It is ideal for asset pipeline QA workflows where you want to detect duplicate row IDs and understand per-group numeric distributions simultaneously, without needing live data lookups or external model inference.

## Known failure modes

- Input array is empty or missing — validation error
- Row count exceeds 200 — request rejected
- Required fields (row_id, asset_group, date, bake_seconds, texture_pixels) missing from row objects — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field enum value not recognized — validation error
- Payment not included or insufficient — 402 payment required

## How this service works

Texture baking — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary 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 independent reports: (1) a duplicate key report identifying any row_ids that appear more than once in the supplied records, and (2) a grouped numeric summary of the selected numeric field (bake_seconds or texture_pixels) aggregated by asset_group — covering up to 200 input rows with no external data 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-analytics-duplicate-key-report-grouped-numeric-summary-c64d3f52/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)