Data Availability Sampling (DAS)
Also known as: DAS, Probabilistic Availability Check, Sampling-Based Verification
A probabilistic method for verifying data availability without downloading the full dataset, used in scalable blockchain designs.
Data Availability Sampling (DAS) is a technique that allows light clients to verify that block data is available by randomly sampling small pieces of it. If enough samples can be retrieved, the full data is presumed to be accessible. DAS underpins scalability in modular blockchain architectures and rollups by enabling secure, decentralized validation with minimal bandwidth. It's used in protocols like Celestia and proposed for Ethereum via Danksharding. DAS reduces the burden on nodes, supports stateless clients, and is essential for efficient, trust-minimized data verification.