REST and SOAPVerification of Response ContentWithout writing any code

API Testing: Verify Your Data Exchanges Before the Interface

An API that returns an empty field, a poorly handled error code, or a date format that changes. API testing catches these issues right at the source, without waiting for them to show up on a screen.

app.mrsuricate.com
Running API TestsOngoing campaign
RESTSOAPWebhook
  • GET ·/catalog/products200
  • POST ·/cart/add201
  • POST ·/order/submit500
  • GET ·/client/profile200
32 verified calls · average time: 240 ms
Unexpected ResponseTeam Alerted

An API crashes without displaying anything

A service now returns an empty string instead of zero, and three screens later, the cart total is incorrect. Or the field still exists but has been renamed, and the front end ignores this without warning. These issues don’t cause any visible errors until someone actually looks at the response itself.

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The return code alone is not enough

A score of 200 does not mean the answer is correct. The test checks the content: fields are present, expected data types are met, and values are consistent.

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Completing one call triggers the next one. Create a shopping cart, add a product to it, and confirm the order: the sequence is tested as a single sequence.

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Login, access token, renewal, expiration. Secrets are encrypted at rest and are never revealed in plain text.

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The same calls replayed in each environment, along with the corresponding variables and datasets.

What the API Test Changes, Line by Line

Tests Using Only the Interface
With API tests
The break appears three screens later.
It reveals itself through the call that brought it into being.
You have to go through the entire process to test a service.
The call connects immediately, within a few seconds.
A format change is successful if the screen doesn't crash.
The review focuses on the content of the response.
Error cases are rarely tested.
4xx and 5xx codes are included in the scenarios.
The back end can only be tested once the front end has been delivered.
Services are tested as soon as they are available.
The diagnostic data is sent from the screen back to the department.
He's starting right from the right place.
ResultCommunication errors detected at the source, before they become a visible bug in a customer journey.
“What convinced me was the no-code approach: our QA engineer got the hang of the tool in just a few days. The tangible result: fewer bugs in production and smoother deployments.”

Arnaud TrotignonCTO, Optivalue

YOUR QUESTIONS

Frequently Asked Questions

The most common questions we get about API testing.

What types of APIs are covered?

Web APIs accessible via HTTP, whether REST or SOAP, as well as incoming webhooks. The scenario simulates the call, including its headers and body, and then checks the return code and the response content.

Do you need to write code to create an API test?

No. The call and the checks are built by assembling blocks, like an interface script. This is what allows a non-developer tester to cover the services without relying on the back-end team.

Can we chain multiple calls together in a single scenario?

Yes, and that's the most useful case. The value returned by a call—such as a shopping cart ID or an authentication token—is reused in subsequent calls. The entire sequence becomes a single scenario.

How are tokens and secrets managed?

Secrets are encrypted at rest and are never revealed in plain text. Authentication tokens are obtained within the scenario itself, which also allows for testing their renewal and expiration.

Can API tests and interface tests be combined?

Yes, and that's often the right way to do it. A script can retrieve data via an API to save time, then verify the result on the screen. The actual workflow goes through both steps, and so does the test.

Do you only believe what you see?

A 30-minute demo of your own app. You'll see one of your workflows automated in real time, without writing any code.