# Create Badge

{% hint style="info" %}
Creates a new badge with specified metadata.
{% endhint %}

**Endpoint:** `/game/badge/create`\
**Method:** POST

{% tabs %}
{% tab title="Request Parameters" %}

```typescript
{
    name: string;             // Name of the badge
    description: string;     // Description of the badge
    slug: slug                // Slug of this badge / Alias name of Badge
    image?: string;          // Optional image URL for the badge
    attributes?: object[];    // Optional array of attributes
}
```

{% endtab %}

{% tab title="Success Response" %}

```typescript
{
    success: true
}
```

{% endtab %}

{% tab title="Error Response" %}

```typescript
{
  error: string;
  details?: any;
}
```

{% endtab %}
{% endtabs %}

## Example Usage

```javascript
// Setup request parameters
const timestamp = Date.now().toString();
const body = {
    name: 'Game Achievement Badge',
    description: 'Badge awarded for game achievements',
    slug: 'gab'
    image: 'https://example.com/badge.png',
    attributes: [
        { trait_type: 'RARITY', value: 'common' },
        { trait_type: 'Version', value: '1.0' }
    ],
};

// Generate HMAC signature
const hmac = generateHmacSignature(timestamp, body, secretKey);

// Make the API request
const response = await axios.post(apiEndpoint + '/game/badge/create', body, {
    headers: {
        apikey: apiKey,
        signature: hmac,
        timestamp: timestamp
    }
});

// Process the response
console.log('Create Task ID:', response.data.taskId);
console.log('Transaction Hash:', response.data.data.transactionHash);
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://dev.plyr.network/api-reference/assets/badge/create-badge.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.