Starknet
What this is
Starknet is a Layer 2 scaling network built on top of Ethereum, designed to let the base chain handle far more transactions than it otherwise could while preserving Ethereum's core properties of decentralization and security. It does this using a family of cryptographic proofs called STARKs, which allow large batches of transactions to be verified on Ethereum cheaply and without trust assumptions. The STRK token is the native unit of the network and is used to pay transaction fees, participate in governance, and eventually take part in the consensus mechanism.
Starknet operates as a validity rollup, meaning it bundles many transactions together, generates a cryptographic proof that all of them were executed correctly, and posts that proof to Ethereum for final settlement — so Ethereum always has a verifiable record of the network's state. Users pay transaction fees in STRK, and the network's smart-contract environment supports general-purpose computation, meaning developers can deploy arbitrary applications on it. The consensus algorithm field is not populated in the current data, so a precise description of validator mechanics cannot be given here.
Starknet collected 158,125 USD in fees over the trailing 30 days and 1,921,188 USD over the trailing 12 months, with those fees paid by users submitting transactions on the network. The protocol retained nearly all of that as revenue, keeping a take rate of 99.74 percent over the trailing 30 days, with supply-side participants receiving only 413 USD over the same period — meaning the vast majority of fee income flows to the protocol rather than to liquidity providers or sequencers. The median transaction fee on the most recent full day was 0.005914 USD, reflecting the network's aim to make individual transactions materially cheaper than transacting directly on Ethereum. Fees grew by 3,374.66 USD over the last 30 days, and annualized fees based on the trailing 30-day run rate stand at approximately 1,923,854 USD.
Written from the figures on this page by an AI language model and reviewed against them. It contains no view on price.