# Review Aspect Duplicate Audit – Exact Normalised

> Review Aspect Duplicate Audit – Exact Normalised is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).

Detects exact normalised duplicate text records across up to 200 labelled review-aspect entries (performance, appearance, value, other) and returns a duplicate audit report.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-duplicates?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/review-aspect-duplicate-audit-exact-normalised-b68fee23
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_odzL3yz0a21ZQKTCrW4h0

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 review-aspect-duplicate-audit-exact-normalised-b68fee23 -d '<json body>'
```

Example prompt: Can you run an exact normalised duplicate audit on these 50 labelled customer review records — each one tagged as performance, appearance, value, or other — and tell me which texts are duplicates?

## When to prefer this

Choose this endpoint when you need a cheap, fast, deterministic exact-normalised duplicate check on a small labelled review dataset (up to 200 records) with no model training or AI inference involved. Ideal for data quality gates before ML training, benchmark publication, or annotation deduplication where you only need exact-match detection rather than semantic similarity.

## Known failure modes

- Fewer than 2 records supplied — minimum array size not met
- More than 200 records supplied — exceeds maximum batch size
- Invalid aspect label used (must be one of: performance, appearance, value, other)
- Record ID missing or exceeds 80-character limit
- Text field exceeds 1000-character limit per record
- Malformed JSON payload returns validation error

## How this service works

Review aspect - Exact normalised duplicate audit: Exact normalised duplicate audit for Review aspect. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded exact normalised duplicate audit deliverable.

## Output

A bounded duplicate audit deliverable identifying which of the supplied labelled text records are exact normalised duplicates, including the matching record pairs and their IDs, enabling the caller to remove redundant entries from their dataset.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "performance",
       "appearance",
       "value",
       "other"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "performance sample document number 0 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-0-1",
     "text": "performance sample document number 1 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-0-2",
     "text": "performance sample document number 2 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-1-0",
     "text": "appearance sample document number 0 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-1-1",
     "text": "appearance sample document number 1 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-1-2",
     "text": "appearance sample document number 2 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-2-0",
     "text": "value sample document number 0 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-2-1",
     "text": "value sample document number 1 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-2-2",
     "text": "value sample document number 2 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-3-0",
     "text": "other sample document number 0 for this supplied dataset.",
     "actual": "other"
    },
    {
     "id": "example-3-1",
     "text": "other sample document number 1 for this supplied dataset.",
     "actual": "other"
    },
    {
     "id": "example-3-2",
     "text": "other sample document number 2 for this supplied dataset.",
     "actual": "other"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/review-aspect-duplicate-audit-exact-normalised-b68fee23/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)