The value of the data layer goes far beyond just the word 'price.' Truly complex on-chain scenarios require more types of verifiable inputs: event triggers, state proofs, reserve validations, indicator updates, and even key data related to real-world assets. As long as triggering conditions are involved, data determines whether the rules are reliable; if the data is unstable, the rules may drift at critical moments, and risks can spill over from the system to the users.
Infrastructure like WINkLink is more like a 'perception and verification layer of the system': it allows contracts to receive consistent inputs in different environments, provides a protection mechanism for anomalies, and ensures that states are traceable and auditable. For developers, this is the foundation that pushes products from demonstration to long-term operation; for users, this is the baseline that remains protected by rules amidst volatility and complex scenarios. The further you go towards long-term and large-scale operations, the more you will find that invisible data stability is often more valuable than visible excitement.