
Tired of spending countless hours manually testing APIs? Struggling with bugs that still slip into production despite multiple checks? I wrote this guide for teams facing exactly that friction, where API reliability directly impacts release confidence.
Kusho.ai is designed to remove repetitive testing effort by automating API test creation and execution using AI. Whether you're shipping new features or safeguarding system stability, Kusho.ai helps teams test faster, reduce production risk, and maintain reliable integrations without slowing development velocity.
Kusho.ai is an AI-powered API testing tool that automates test case generation and execution. It helps development and QA teams identify defects early, reducing the risk of production failures.
Instead of relying on manual scripting, Kusho.ai uses natural language understanding to interpret API behavior and generate comprehensive test coverage across parameters, edge cases, and failure scenarios. Unlike traditional testing methods, Kusho.ai uses natural language to understand API requirements and generates comprehensive tests that cover all possible scenarios, ensuring your APIs work reliably in every situation.
Let's walk through the process step by step to help you begin your API testing journey.

Step 1: Just go and click the link Click here to open and get started with kusho.ai
Step 2: Log in to the application, and you will be redirected to the home page like below. (As I already have a list of APIs created, it is showing me the list of APIs)
Step 3: Click on the Create button to enter a new API for testing.
You will have options to import a Postman collection JSON, import Swagger (open API spec documentation), or you can manually enter API endpoints, parameters, and authentication tokens (if any).
Step 4: Once you click Enter API Details from the image in Step 3 (assuming initially you want to try out for 1 API first, instead of the whole Postman collection), you will see something like the one below.
Partner with F22 Labs to automate testing. We build intelligent QA systems that catch bugs faster and speed up releases.
Step 5: Enter your endpoint, Authorization token if any, query parameters if any, etc, as per your API requirement. Once all the details are entered, click the GENERATE button
Step 6: Once that is generated, you will see that listed on your home page (refer to the image in Step 2).
Step 7: Once you click on the particular API (which you just created), you can see the list of test cases generated for all the possible parameters and test cases, as shown below.
Step 8: You can either give the Run All Option to run all test cases at a time, or you can run them one by one manually to check if your API works correctly for that particular scenario.
Once test cases are generated, Kusho.ai allows teams to run and customize executions based on real environments. Each API can be configured with variables, tokens, and environment-specific values, enabling realistic test runs across development, staging, and production contexts.
This flexibility ensures API behavior is validated under real-world conditions, not just static test inputs.
You can edit it according to your requirements, and you can configure variables also similar to Postman, eg In the screenshot above, you can see {{token}} as a variable; you can have testing_url, production_url, and dev_url, etc, and various parameters configurable to best suit your test case.
After understanding how to use Kusho.ai, let's explore the key advantages that make it stand out in the API testing landscape.
Wondering how Kusho.ai compares to traditional API testing tools? Let's look at a detailed comparison with Postman, one of the most widely used API platforms, to help you make an informed decision.
| Feature | Kusho.ai | Postman |
Primary Purpose | AI-focused API testing platform using natural language | General-purpose API development platform for testing, documenting, and managing APIs |
Test Creation | Uses NLP to generate test cases from plain English descriptions | Requires manual creation of test cases using JavaScript and Postman's framework |
Learning Curve | Lower learning curve with natural language interface | A steeper learning curve requiring JavaScript and testing knowledge |
Collaboration Features | Basic collaboration with AI-assisted testing focus | Extensive collaboration with team workspaces, shared collections, and version control |
Integration & Ecosystem | Limited integrations, focused on AI testing capabilities | A large ecosystem with extensive integrations, monitors, mock servers, and documentation tools |
Yes. Kusho.ai supports developers validating new APIs and QA teams ensuring regression coverage without manual scripting.
Partner with F22 Labs to automate testing. We build intelligent QA systems that catch bugs faster and speed up releases.
No. Kusho.ai complements tools like Postman by automating test generation, while Postman remains useful for manual exploration and documentation.
Yes. APIs can be tested using configurable tokens, variables, and environment-specific values.
Yes. It scales well for systems with multiple endpoints by generating consistent, repeatable test coverage automatically.
API testing often becomes a bottleneck when manual effort grows faster than system complexity. Kusho.ai addresses this by shifting API validation from manual scripting to AI-driven automation.
For teams that want faster feedback, stronger test coverage, and fewer production surprises, Kusho.ai provides a practical path toward reliable API testing without increasing operational overhead. With its natural language processing, comprehensive test coverage, and user-friendly interface, you can focus on building great features while Kusho.ai handles the testing.
Whether you're a developer or a QA engineer, it's time to say goodbye to manual testing headaches. Start testing with Kusho.ai today and experience how efficient and reliable API testing can be.