A screenshot can show you almost anything. A balance, a trading history, a follower count. But how do you know the information is real? This is a bigger problem in Web3 than it might seem. Imagine a platform offering rewards to users who meet certain requirements. Someone submits a screenshot showing they qualify. Another user provides a different one. Now the platform has to decide what to trust. Manual reviews don't scale well. Building custom integrations for every website creates more complexity. And asking users to reveal their entire account data isn't always a good option. This is one reason I find @primus_labs worth exploring. Primus uses zkTLS technology to help verify information from web sources while minimizing the need to expose the underlying data. The interesting part is what this could enable beyond a single use case. Think about loyalty programs, eligibility checks, digital credentials, or applications that need evidence of online activity before granting access. Instead of treating every claim as something that must be trusted, developers can explore ways to verify information against authenticated sources. Of course, verification still depends on the source being reliable and the system's trust assumptions. It doesn't magically make false information true. But it creates an important possibility: proving that certain conditions are met without making all your personal data public. For me, that's a more interesting direction for Web3 than simply putting more information onchain. The challenge isn't just collecting data. It's proving what matters while revealing less. s.kaito.ai/PZkd63z