***

title: Quickstart
description: Get started with the AISquare Studio API in minutes.
-----------------------------------------------------------------

Get started with the AISquare Studio API in minutes.

In this guide, you will:

* Make your first API request
* Retrieve data from an AI Studio
* Understand the response structure

***

## Base URL

All API endpoints are available under:

```
https://api.aisquare.com/api/v1/
```

***

## Make your first request

Let's fetch AI Studio experiences.

### Endpoint

```
POST /api/v1/aistudios/experiences/flattened/
```

This endpoint returns AI resources such as:

* AI experts
* AI notes
* Quests

### Example request

```bash
curl -X POST https://api.aisquare.com/api/v1/aistudios/experiences/flattened/ \
  -H "Content-Type: application/json" \
  -d '{
    "url": "ai-research-studio"
  }'
```

### Example response

```json
{
  "count": 12,
  "results": [
    {
      "experience_id": 123,
      "experience_title": "Advanced Machine Learning Models",
      "resource_type": "AI_EXPERT",
      "resource_title": "Image Classification Expert",
      "publication_title": "AI Research Studio",
      "metrics": {
        "views": 1250,
        "likes": 89
      }
    }
  ]
}
```

***

## Understanding the response

Each item in the response represents a resource within an experience.

It includes:

* **Experience details**
* **Resource type and title**
* **Publication information**
* **Engagement metrics**

***

## Common query parameters

Many endpoints support filtering and pagination.

| Parameter   | Description      |
| ----------- | ---------------- |
| `page`      | Page number      |
| `page_size` | Results per page |
| `search`    | Search content   |
| `ordering`  | Sort results     |

Example:

```
GET /api/v1/aistudios/experiences/flattened/?ordering=trending&page=1
```

***

## What's next?

Now that you've made your first request, explore:

* [Authentication](/docs/getting-started/authentication) → set up API keys and tokens
* [Core Concepts](/docs/getting-started/core-concepts) → understand the response structure
* [AI Studios](/docs/product/ai-studios) → creators, metrics, and engagement
* [Collections](/docs/product/collections) → group and manage experiences
* [Community](/docs/product/community) → events and contributors
* [Bookings](/docs/product/bookings) → integrate scheduling
* [Search, filtering, and pagination](/docs/data-ux-guides/search-filtering-and-pagination) → refine your queries
* [Errors](/docs/reference/errors) → handle error responses