Watch How Agentic AI Is Changing API Testing

Dealing with slow test creation and low API coverage? Now you can be among the first to see new, simple ways you can use agentic AI to your advantage.

Watch as we unveil brand-new Agentic AI-powered capabilities, designed to transform how QA teams create, scale, and data-drive API tests. In this session, you’ll hear from Parasoft testing experts on the current, real-world impact of agentic AI, and see a powerful demo of our SOAtest AI Assistant in action.

Agentic AI: The Game-Changer for API Testing Teams

Agentic AI is shaking things up for QA teams working on API testing. If you’ve ever felt bogged down by slow manual test creation or had trouble connecting business logic to technical API tests, you’re not alone. In the debut of this next-generation API testing experience, Parasoft’s experts walk through how Agentic AI turns those headaches into a faster and smarter testing workflow.

Key Takeaways

• Agentic AI bridges the gap between business requirements and technical API testing
• Test creation and parameterization can now be handled through plain natural language instructions and service definition files
• Less technical testers benefit with increased efficiency and lower barriers to API testing
• Agentic AI allows teams to scale API testing and keep up with faster development cycles
• Security and integration flexibility remain priorities

Common Roadblocks in API Testing

API testing isn’t always straightforward. Most testers are used to working with user interfaces, clicking around, and verifying outcomes. But with APIs, there’s often no visible UI, and it can get pretty technical. Someone has to figure out the right messages and formats, understand architecture, and make sure tests actually cover the intended business flows.

Some of the big hurdles testers face:

• Needing technical know-how to test APIs (understanding protocols, messages, payloads)
• Translating user workflows into backend API calls
• Lack of easy tools to create scenarios without writing code
• Generating meaningful test data for thorough coverage

Codeless tools help, but still often require deep domain knowledge and manual configuration.

What Is Agentic AI?

Agentic AI in the SOAtest AI Assistant isn’t just another chatbot. It’s meant to handle complex tasks and figure things out in steps. You give it a goal, and it reasons through what needs to happen before taking any action. For API testing, that means:

1. You describe your requirements in plain natural language
2. The AI understands both your API and what you want to test
3. Specialized AI “agents” generate scenario steps and test data
4. You get to review and tweak the AI’s plan, back-and-forth, until it fits
5. The tool creates multi-step, auto-parameterized API test scenarios that map to your real workflows

It’s a bit like talking with a really smart coworker who does the heavy technical lifting for you, and you just clarify as needed.

Demo Walkthrough: From Prompt to Test in Minutes

The Parasoft team showcased the AI-driven test generation using their logistics demo app built on APIs. Here’s how the process looked in action:

• The tester opens the AI Assistant chat box inside the SOAtest UI, connected to ChatGPT (or other LLMs, even on-prem models)
• Instead of writing any code, they tell the Assistant: “Create a test scenario that add two items to cart, submit the order, and verify the order is placed”
• The AI breaks this down:
  • Adds two POST requests for the cart
  • Submits the order
  • Verifies the new order using the returned order number
• The user tweaks the test flow in the chat
• Agentic AI creates a scenario, names it, and builds it inside their codeless test project
• Next, the tester asks for test data: 10 rows with random items and quantities, a fixed region
• The AI prepares a CSV with that data and automatically plugs it into the scenario—no more manual spreadsheets
• It even handles dynamic data, like extracting the order number from step one and using it in later steps automatically

So, with just a few prompts, the whole end-to-end flow is covered, parameterized, and ready to run. Tests that used to take a lot of clicking and configuring are now possible in minutes.

More Than Just Codeless: Why AI Matters

Codeless test tools have been around, but Agentic AI brings real gains:

• Speed: Plain language instructions turbocharge test creation
• Coverage: Testers can generate more scenarios, more easily
• Onboarding: Less-experienced team members can contribute meaningfully
• Scaling: More tests, more coverage, without being stuck in the UI
• Quality: The conversational nature of the assistant means fewer mistakes and more relevant tests

A recent note from industry analysts: Only 39% of teams are doing API testing today, which suggests that the barrier is still too high for many. AI assistants aim to remove those hurdles—especially for teams used to testing through the UI.

Security, Flexibility, and What’s Next

Teams can choose which AI models to connect—OpenAI, Azure, Google Gemini, or a private on-prem model for sensitive data. None of the business logic or prompts are tied to a single cloud provider, and documentation is made available to the AI for in-tool support.

Interested in more recent AI innovations?

• AI assertions and data extractions: Just say what you want to check or extract, and the assistant writes the logic for you
• Multi-API scenarios: Ability to test across several API sources together
• Deeper integrations: Connecting test generation with tools like Jira, Azure DevOps, and more

Team Workflow and The Road Ahead

Testers and QA teams move faster, cover more ground, and spend less time on repetitive work. AI won’t replace testers anytime soon—but it’s changing the balance, letting people focus on value and oversight, not just setup.

Having the  SOAtest AI Assistant in the tool also helps with onboarding new team members—they can ask questions about the product right in the chat, and the documentation is right there. Even the experts in the demo found themselves using the AI Assistant more and more, just because it saves so much time.

Summary

Agentic AI is not about replacing people, but about letting testers get more done, with less technical fuss. From transforming plain business needs into reliable API scenarios to generating data and plugging in dynamic variables, it’s built to save time and let teams focus on what matters. With support for multiple AI models, adopting this kind of workflow is looking less like the future and more like the new normal. Request a customized demo to learn more and start your evaluation process.