Everstake ETH Staking
Everstake ETH Staking is a powerful dashboard that allows you to obtain information about Everstake staking metrics, such as Stake, APR, and view staking dynamics depending on the source.
The report also contains information about the operator's Everstake validator keys.
Charts and Metrics Explained
Deposited ETH - amount of delegated tokens of all Everstake pools participating in the validation process
Deposited ETH USD - deposited ETH multiplied by the last price of the asset
CL APR - total reward for the consensus layer is divided by the amount of the Everstake stake
EL APR - total reward for the execution layer is divided by the amount of the Everstake stake
Network Share - share of the total stake of all Everstake pools in the total amount of locked tokens in Ethereum network
CL APR - total reward for the consensus layer is divided by the amount of the Everstake stake
EL APR - total reward for the execution layer is divided by the amount of the Everstake stake
Active Validators - number of validators launched across all pools that are actively participating in the validation process
Active Stake - total active stake locked at validator addresses
Active Stake - amount of delegated tokens of all Everstake pools participating in the validation process (Pro, Pool, Lido and Stader)
Source - Pool, Pro, Lido or Stader everstake staking pools
Validator Index - unique validator index (beaconcha.in)
Pubkey - Ethereum public key of validator
Key Insights
Using this report, you can analyze graphs for the following questions:
How has Everstake's APR changed over time? What is the APR consensus and execution layers?
What is the current number of active validators and stakes in Everstake? What equivalent in USD?
How is Everstake distributed among different pools, such as Lido?
What is the current trend for Everstake pools? What are the inflow and outflow of stake?
Please note that the data is not real-time
Minor deviations (up to 1%) are possible due to data synchronization or delays.
If you notice any significant discrepancies or errors, please contact the Everstake Data Science team to report them.
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