Incentives & Rewards
Dynamic Fee Structure
Transaction Types
-
Data Contribution Fee: Paid by contributors submitting training data
- Base: 0.1 ASHA per contribution
- Multiplier: Based on data quality score (0.5x to 2.0x)
-
Query Fee: Paid by users requesting Genome inference
- Simple query: 0.01 ASHA
- Complex inference: 0.1-1.0 ASHA
- Real-time computation: 1.0-10.0 ASHA
-
Model Update Fee: Gas cost for updating Genome on-chain
- Paid by validators, reimbursed from reward pool
-
Governance Fee: Cost to submit DAO proposals
- Base: 100 ASHA (anti-spam)
- Refunded if proposal passes
Reward Distribution (AI-Optimized)
Fee Distribution (AI-adjusted per epoch)
- Data Contributors: 40-60% (quality-weighted)
- Compute Validators: 20-35% (work-based)
- Development & Maintenance: 10-20%
- DAO Governance: 5-15%
- Protocol Reserve: 5-10%
Quality Metrics
Quality Score = w₁·Accuracy + w₂·Uniqueness + w₃·Relevance + w₄·Volume
Component Definitions:
- Accuracy: How much does data improve model performance? (Validation loss reduction)
- Uniqueness: How rare/novel is this data? (Distance from existing distribution)
- Relevance: How useful for current model priorities? (Alignment with goals)
- Volume: How much data provided? (Logarithmic scale)
Reputation Multipliers
- New contributor: 0.8x (probationary)
- Established (>10 contributions): 1.0x
- Trusted (>100 contributions, high quality): 1.2x
- Elite (>1000 contributions, consistently high): 1.5x
- Flagged (suspicious activity): 0.5x
- Banned (proven malicious): 0x
Cross-Domain Incentive Balancing
Domain-Specific Pools
- Healthcare: 25% of contribution rewards
- Finance: 20% of contribution rewards
- Navigation: 15% of contribution rewards
- Disaster Prediction: 15% of contribution rewards
- General Purpose: 25% of contribution rewards
Dynamic Rebalancing
- If domain underserved: Increase reward multiplier
- If domain saturated: Decrease reward multiplier
- Adjustments weekly based on model performance gaps