# Sentiment Exact Normalised Duplicate Audit

> Sentiment Exact Normalised Duplicate Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Identifies exact normalised duplicate text records across a labelled sentiment dataset of up to 200 entries, flagging redundancy issues for dataset quality review.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-sentiment-duplicates?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sentiment-exact-normalised-duplicate-audit-3e981f3d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Jnj2rREXA1Ft1yBdbXpFG

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 sentiment-exact-normalised-duplicate-audit-3e981f3d -d '<json body>'
```

Example prompt: Can you audit these 50 labelled sentiment records for exact normalised duplicates? I have a mix of positive, neutral, and negative examples and I need to know which ones are redundant before I use the dataset for model evaluation.

## When to prefer this

Choose this endpoint when you need a lightweight, cost-effective exact normalised duplicate check on a small-to-medium labelled sentiment dataset (up to 200 records) without invoking a heavy model or foundation model pipeline. Ideal for pre-training data hygiene, evaluation set integrity checks, or annotation quality audits where exact string-level deduplication (after normalisation) is sufficient and probabilistic or semantic deduplication is not required.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- More than 200 records supplied — exceeds maximum batch size
- Record missing required fields (id, text, or actual) — validation error
- Invalid sentiment label value outside positive/neutral/negative enum — rejected
- Text exceeding 1000 character limit per record — truncation or rejection
- Empty text string provided — may produce false duplicate matches
- Payment not completed — 402 response, no result returned

## How this service works

Sentiment - Exact normalised duplicate audit: Exact normalised duplicate audit for Sentiment. 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 structured audit report identifying which of the supplied labelled text records are exact normalised duplicates of one another, including duplicate pair references by record ID, counts, and a summary of dataset redundancy.

## 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": [
       "positive",
       "neutral",
       "negative"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "positive sample document number 0 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-0-1",
     "text": "positive sample document number 1 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-0-2",
     "text": "positive sample document number 2 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-1-0",
     "text": "neutral sample document number 0 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-1-1",
     "text": "neutral sample document number 1 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-1-2",
     "text": "neutral sample document number 2 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-2-0",
     "text": "negative sample document number 0 for this supplied dataset.",
     "actual": "negative"
    },
    {
     "id": "example-2-1",
     "text": "negative sample document number 1 for this supplied dataset.",
     "actual": "negative"
    },
    {
     "id": "example-2-2",
     "text": "negative sample document number 2 for this supplied dataset.",
     "actual": "negative"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sentiment-exact-normalised-duplicate-audit-3e981f3d/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)