API workflows on qAPI

We launched API Workflows last year.
One of our most-awaited features.

Why?

One API creates data, another consumes it, a third validates it, and a fourth decides what happens next. Current API testing practices breaks down here because it treats each request as a separate check.

That’s the core problem workflows solve.

We built API Workflows to address the gap between endpoint-level testing and real user or system behavior.

Teams were spending time manually stitching together requests, copying IDs between calls, rerunning sequences, and debugging failures that only appeared when APIs were executed in a specific order.

This didn’t scale, and it didn’t reflect how systems actually behave in production.

Workflows let teams define these multi-step interactions once and run them reliably. Instead of testing “does this API respond,” you test “does this flow work end to end.”

In qAPI data flows automatically between steps, conditions are handled explicitly, and failures are easier to understand because you see exactly where and why the chain breaks.

If you’re seeing this for the first time, this is exactly where you should start.

Now it’s time to go beyond using them and actually understand them.
This video breaks down what each function does and what every user should know to build workflows the right way.

Видео API workflows on qAPI канала qAPI