Mitosis validators are essential components of the network’s Proof-of-Stake consensus mechanism, responsible for block production, transaction validation, and maintaining network security. The validator system features innovative design choices that prioritize both security and user experience, creating a robust foundation for network consensus.

​
Key Components

The Mitosis validator architecture consists of four main elements that work together to ensure network security and efficient operations:

Collateral System

Validators lock MITO tokens as security deposits, subject to slashing for malicious behavior

Staking Mechanism

Users stake MITO/gMITO to validators, increasing voting power without slashing risk

Reward Distribution

gMITO rewards are distributed to validators and stakers based on performance and contribution

Voting Power Control

Dynamic calculation based on collateral plus staked amounts, with leverage limits

​
Design Principles

Collateral-Driven Security
  • Validators lock substantial MITO collateral, ensuring genuine economic commitment
  • Collateral acts as security deposit, subject to slashing for malicious behavior
  • Creates strong incentives for honest validator operation and network protection
  • Stakers face no slashing risk, encouraging broader network participation
Operational Flexibility
  • Complete separation of consensus keys and management operations
  • EVM-based management provides familiar tooling and smart contract composability
  • Validators can update configurations without requiring consensus layer interaction
Decentralization Through Economics
  • Leverage ratios prevent excessive staking concentration on single validators
  • New validators can compete by providing higher collateral-to-staking ratios
  • Users benefit from staking to validators with better collateral backing

​
More Information

Validator Operation

Learn how to create and manage validators

Collateral

Understanding collateral system and consensus voting power

Staking

Explore the staking mechanism for validators

Rewards

Deep dive into reward calculation and distribution