# Release Change Duplicate Audit – Exact Normalised

> Release Change 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 duplicates among up to 200 labelled release-change text records (feature, fix, documentation, maintenance).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-release-change-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/release-change-duplicate-audit-exact-normalised-8e929b1c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fTXxg9agPLCcIkBkqCCgR

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 release-change-duplicate-audit-exact-normalised-8e929b1c -d '<json body>'
```

Example prompt: Can you audit these 50 release change records for exact normalised duplicates? I have a mix of feature, fix, documentation, and maintenance entries and I want to know which ones are repeated before I publish the changelog.

## When to prefer this

Choose this endpoint when you need a fast, low-cost ($0.01 USDC) exact normalised duplicate check on a batch of labelled release change records (up to 200). It is purpose-built for software changelog and release note datasets with four specific change-type labels. Prefer it over general-purpose deduplication tools when your data is already labelled with feature/fix/documentation/maintenance categories and you want a bounded, deterministic audit without invoking a large language model or foundation model.

## Known failure modes

- Fewer than 2 records submitted — minimum input not met
- More than 200 records submitted — batch size exceeded
- Missing required fields (id, text, or actual) on any record — validation error
- Invalid label value for 'actual' field (must be feature, fix, documentation, or maintenance)
- Text field exceeds 1000 characters — truncation or rejection
- Payment not completed — x402 payment required before result is returned

## How this service works

Release change - Exact normalised duplicate audit: Exact normalised duplicate audit for Release change. 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 submitted labelled text records are exact normalised duplicates of one another, including the record IDs involved, duplicate groupings, and a count of duplicate instances found within the batch.

## 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": [
       "feature",
       "fix",
       "documentation",
       "maintenance"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "feature sample document number 0 for this supplied dataset.",
     "actual": "feature"
    },
    {
     "id": "example-0-1",
     "text": "feature sample document number 1 for this supplied dataset.",
     "actual": "feature"
    },
    {
     "id": "example-0-2",
     "text": "feature sample document number 2 for this supplied dataset.",
     "actual": "feature"
    },
    {
     "id": "example-1-0",
     "text": "fix sample document number 0 for this supplied dataset.",
     "actual": "fix"
    },
    {
     "id": "example-1-1",
     "text": "fix sample document number 1 for this supplied dataset.",
     "actual": "fix"
    },
    {
     "id": "example-1-2",
     "text": "fix sample document number 2 for this supplied dataset.",
     "actual": "fix"
    },
    {
     "id": "example-2-0",
     "text": "documentation sample document number 0 for this supplied dataset.",
     "actual": "documentation"
    },
    {
     "id": "example-2-1",
     "text": "documentation sample document number 1 for this supplied dataset.",
     "actual": "documentation"
    },
    {
     "id": "example-2-2",
     "text": "documentation sample document number 2 for this supplied dataset.",
     "actual": "documentation"
    },
    {
     "id": "example-3-0",
     "text": "maintenance sample document number 0 for this supplied dataset.",
     "actual": "maintenance"
    },
    {
     "id": "example-3-1",
     "text": "maintenance sample document number 1 for this supplied dataset.",
     "actual": "maintenance"
    },
    {
     "id": "example-3-2",
     "text": "maintenance sample document number 2 for this supplied dataset.",
     "actual": "maintenance"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-change-duplicate-audit-exact-normalised-8e929b1c/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)