Economic Model and Task Distribution
The Economic Model and Task Distribution system aligns network participation with staking tiers, ensuring fair task allocation and incentivizing efficient, reliable proof generation across the marketplace.
Proof Pods stake ZKP and DTK tokens to join the network according to a tiered model managed through the staking pallet:
Entry Tier
Minimum stake requirement (to be determined during economic simulations in testnet) allowing basic participation
Standard Tier
Intermediate stake level granting priority in task assignment
Premium Tier
Higher stake level enabling access to more complex proof generation tasks
Entry Tier
Minimum stake requirement (to be determined during economic simulations in testnet) allowing basic participation
Standard Tier
Intermediate stake level granting priority in task assignment
Premium Tier
Higher stake level enabling access to more complex proof generation tasks
Slashing Conditions
Stake may be partially reduced under specific circumstances through slashing mechanisms:
Failure to submit proofs within the defined deadline (minor reduction)
Submission of invalid proofs (moderate reduction)
Provable malicious behavior such as collusion attacks (major reduction)
Failure to submit proofs within the defined deadline (minor reduction)
Submission of invalid proofs (moderate reduction)
Provable malicious behavior such as collusion attacks (major reduction)
Reward Calculation
Compensation follows a base fee plus performance model managed through reward distribution:
Base component for successful proof generation
Variable component based on proof complexity and verification cost
Bonus multiplier for consistent high-quality service
Base component for successful proof generation
Variable component based on proof complexity and verification cost
Bonus multiplier for consistent high-quality service
This structured economic model will be calibrated during testnet operation, with parameters adjusted based on observed participant behavior and system performance.
The Proof Behind Champions
Those who compete at the edge of human precision now back the technology that defines digital truth.
