API Guard

95% of Organizations Hit by API Issues in Production, Here's Why: Third-party APIs are silently evolving and breaking production systems. We need proactive monitoring, not reactive debugging. Last month, my friend Nana had one of those nights every developer dreads. Critical payment flow, Twilio's "stable" Verify API, running flawlessly for months. Then Tuesday 2 AM hits, and nightlies start failing. No alerts. No emails. No changelog. Four hours of panic debugging later, he found a buried GitHub commit from three days prior. Twilio had silently rolled out changes: Status field: approved → verified New error codes for geo-restrictions Auth method deprecated without sunset period This isn't an isolated incident. It's a systemic problem that's getting worse: 95% of organizations experienced API security issues in production last year. 83% of internet traffic is now API-driven. Yet we're still managing API dependencies like it's 2015. Facts: If you're managing 50+ APIs (especially external ones), you're playing Russian roulette with production. Why This Keeps Happening? 3rd-party APIs change without notice. Documentation updates lag behind actual changes. Breaking changes get buried in version increments that should be non-breaking. We discover problems when customers complain, not when changes happen. By then, you're debugging instead of preventing issues. Each new API integration multiplies failure points. With microservices architecture, you're not just depending on your code, you're depending on dozens of external teams' deployment practices. How many Tuesday 2 AMs will your team endure before realizing reactive isn't sustainable? After living through too many of these incidents, I'm working on a more proactive approach. The core mission: treat API dependencies like the critical infrastructure they are and make sure teams can rely on a system that can help them prevent those breaks. The Key components of our solution: -Real-time schema drift detection: Monitor API schemas continuously, catch changes before they break things -Breaking change prevention: Identify potential issues during development, not production -Alerts: The system will send warning alerts when it will catch a potentially breaking change, not after the break happened and disaster striked. The teams that survive the next wave of API complexity won't be the ones with the best incident response, they'll be the ones who never have incidents in the first place. If your enterprise, QA, or IT team is managing 50+ APIs and tired of these production incidents: I'm building a proactive system that prevents these disasters before they happen. Visit our landing page here : https://lnkd.in/e95JPwxp And Book a Demo if you're ready to stop playing API Russian roulette with production systems. Especially relevant for teams dealing with external 3rd-party APIs.