# Scene Geometry Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes

> Scene Geometry Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes 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 data (object_count, triangle_count): a record quality audit, exact row deduplication, and adjacent row change detection — all processed locally with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-217?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-record-quality-audit-exact-row-deduplication-adjacent-bfd731a5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dW-r40eDzcO-o4Btluoba

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-record-quality-audit-exact-row-deduplication-adjacent-bfd731a5 -d '<json body>'
```

Example prompt: Can you run a quality audit, deduplication check, and adjacent row change report on my scene geometry data? I have rows for asset groups 'group-a' and 'group-b' with object_count and triangle_count values across several dates — analyze the object_count field.

## When to prefer this

Use this endpoint when you have up to 200 scene geometry records with object_count and triangle_count fields and need all three analytical reports (quality audit, deduplication, adjacent row changes) bundled into a single low-cost call. It is ideal for 3D asset pipelines, game development data QA, and automated data validation workflows where external lookups or predictions are not needed — all computation is local and deterministic.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, asset_group, object_count, triangle_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value (must be object_count or triangle_count) — rejected
- Empty rows array — minimum 1 item required

## How this service works

Scene geometry — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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

Returns three independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields; (2) an exact row deduplication report identifying fully duplicate rows; and (3) an adjacent row change report showing differences in the selected field (object_count or triangle_count) between consecutive rows. All computation is local with no external calls.

## 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-record-quality-audit-exact-row-deduplication-adjacent-bfd731a5/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)