APItoolkit: Using Merkle Trees and LLMs to Detect the UnDetectable in Software Monitoring

In 2019, a single missing field in a Delivery Hero legacy service rewrite led to nearly $2 million in lost orders—an oversight no one caught until it was too late. Drawing on that experience, I’ll show how APIToolkit uses cryptographic proofs and LLM-powered analysis of logs and request payloads to detect these hidden breaking changes before they become disasters. In just five minutes, you’ll see how easily APIToolkit integrates into your existing stack, scanning every API call in real-time and alerting you to shifts that standard monitoring tools miss. It’s a fast, frictionless path to ensuring problems never slip through the cracks again.