The performance of @Walrus 🦭/acc is measured by what you can see it doing rather than what it says about itself.

When we look at the nodes in Walrus we check things like whether they have the data people need whether they respond when they are supposed to and whether they do what they are supposed to do when it comes to storing and getting data.

If a node in #Walrus always gives people the data they ask for when they need it and it stays online when it is supposed to that node gets a better performance record.

This is how Walrus performance is evaluated, by looking at how the nodes work like whether they have the right data and do the right things.

Rewards in WAL are then distributed based on this measured contribution, not just declared capacity. This discourages overpromising and underdelivering. A smaller node that is consistently reliable can outperform a larger but unstable one. The system is designed to reward behavior that actually benefits users: predictable access to data over time. In that sense, performance measurement is less about benchmarks and more about trust earned through continuous operation.$WAL