# Scene Geometry Data Quality Suite: Audit + Deduplication + Grouped Summary

> Scene Geometry Data Quality Suite: Audit + Deduplication + Grouped Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Runs three analytical reports on scene geometry records — a record quality audit, exact row deduplication, and grouped numeric summary of object_count and triangle_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-211?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/scene-geometry-data-quality-suite-audit-deduplication-grouped-summary-6d15f05c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uOmbbpu_tbGtawPYiU4IF

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 scene-geometry-data-quality-suite-audit-deduplication-grouped-summary-6d15f05c -d '<json body>'
```

Example prompt: Can you run a quality audit, exact deduplication check, and grouped numeric summary on my scene geometry records — here are up to 200 rows with row_id, asset_group, date, object_count, and triangle_count — and summarize by object_count?

## When to prefer this

Choose this endpoint when you need three bundled data quality operations (audit + deduplication + grouped summary) on scene geometry records in a single cost-efficient call. Ideal for pre-ingestion validation of 3D asset datasets with up to 200 rows where no live external data, predictions, or professional assessments are needed. Prefer this over separate single-report endpoints when all three analyses are required simultaneously to save on per-call cost.

## Known failure modes

- Fewer than 1 row provided — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) — validation error
- Date field does not match YYYY-MM-DD format — pattern validation failure
- Field selector not one of 'object_count' or 'triangle_count' — enum validation error
- Numeric values outside allowed range (-1T to +1T) — schema rejection

## How this service works

Scene geometry — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied scene geometry records (object_count, triangle_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) an exact row deduplication report identifying duplicate records; (3) a grouped numeric summary aggregating the selected field (object_count or triangle_count) by asset_group. All computed locally without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-data-quality-suite-audit-deduplication-grouped-summary-6d15f05c/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)