Creating a Rest Request

REST API platform

To Create a REST request,

1. Select a Collection, On hover or on three dot click, user will see an icon to create a request.
2. Click on the icon will open a dialog box.
3. Provide label and save to create a request.
4. Navigate to the created request and select it.
5. Now provide the necessary data like Method, URL, Port, Params, Headers, Body etc. to configure the created request.
6. Click Save button to save the request.

Now try it yourself, copy the below API endpoint and create a GET request.

https://dummyjson.com/products

Pokemon API

Let's try another API.

We'll be using the Pokemon API, go ahead and create a GET request to the endpoint below:

https://pokeapi.co/api/v2

If your request was successful, then you should get a JSON response as shown below:

{
  "ability": "https://pokeapi.co/api/v2/ability/",
  "berry": "https://pokeapi.co/api/v2/berry/",
  ...
  "pokedex": "https://pokeapi.co/api/v2/pokedex/",
  "pokemon": "https://pokeapi.co/api/v2/pokemon/",
  ...
  "version-group": "https://pokeapi.co/api/v2/version-group/"
}

Image 1 :

The Pokemon API has returned us three new API endpoints or URLs, let's pick the characters URL and explore it.

Now, let's create a GET request to the characters URL, append /pokemon to the URL you already have on PruTAN or copy paste the URL below:

https://pokeapi.co/api/v2/pokemon

The API should have returned a huge amount of data, something similar to the one below:

{
  "count": 1279,
  "next": "https://pokeapi.co/api/v2/pokemon?offset=20&limit=20",
  "previous": null,
  "results": [
    {
      "name": "bulbasaur",
      "url": "https://pokeapi.co/api/v2/pokemon/1/"
    },
    {
      "name": "ivysaur",
      "url": "https://pokeapi.co/api/v2/pokemon/2/"
    },
    ...
    ...
}

Image 2 :

Try experimenting with the /pokedex, /berry and the other endpoints as well.

Leveraging AI within PruTAN, you can enhance your API testing process:

AI-powered Request Creation : Automatically generate request bodies with suggested parameters, headers, and validation rules, reducing manual effort and errors.

Automated Response Analysis : AI can analyze the responses to highlight anomalies and provide insights.

Script Generation : Use AI to generate scripts for various testing scenarios, automating repetitive tasks and ensuring consistency.

One-click Request Creation : Future AI capabilities will allow you to create entire requests with a single click, streamlining the testing process.