Token Value Mechanics
This document explains how Hokusai tokens derive and maintain their value within the ecosystem.
Value Sources
1. Model Performance
The primary value driver is the performance of AI models in the ecosystem:
Performance Metrics
- Hokusai models are uniquely focused on maximizing their performance against their defined performance benchmark. This is likely a touch myopic, but is designed for simplicity and clarity.
2. Usage Demand
Token value is directly tied to model usage through the AMM reserve mechanism. As models are used, profit after infrastructure costs flows into the token's USDC reserve, increasing the token price via the bonding curve:
Value Accrual Flow
API Usage → Fees Collected → UsageFeeRouter
↓
┌───────────────┴───────────────┐
↓ ↓
Infrastructure Accrual Profit Residual
(50-100%, per model) (0-50%, to AMM)
↓ ↓
InfrastructureReserve Reserve Increases
(pays providers) → Price ↑
When profit share is deposited into the reserve:
- Reserve (R) increases
- Supply (S) stays constant
- Spot price P = R / (w × S) increases proportionally
Key distinction: Token holders benefit from genuine profit (revenue minus infrastructure costs), not gross revenue. Each model's infrastructureAccrualBps parameter determines the split.
See API Fee Flow for complete details.
3. Supply Dynamics
The token supply is managed through minting mechanisms:
Supply Controls
-
Minting
- Performance-based minting (DeltaOne rewards)
- Governance-controlled caps
-
AMM Trading
- Buying tokens increases both reserve and supply
- Selling tokens decreases both reserve and supply
Price Discovery
CRR Bonding Curve
The AMM uses a Constant Reserve Ratio (CRR) bonding curve for continuous price discovery:
Spot Price = R / (w × S)
Where:
R = USDC reserve balance
S = Token supply
w = Constant Reserve Ratio (CRR, typically 10-30%)
The CRR model ensures that API fees deposited into the reserve directly increase the token price, since supply remains constant while reserves grow.
Price Impact of Profit Share
When profit share is deposited (without minting new tokens):
| Event | Reserve | Supply | Price Impact |
|---|---|---|---|
| $50,000 API revenue (80% infra, 20% profit) | +$10,000 | No change | +10% (if reserve was $100k) |
| $50,000 API revenue (60% infra, 40% profit) | +$20,000 | No change | +20% (if reserve was $100k) |
Models with lower infrastructure costs (governance-optimized accrual rate) provide higher profit share to token holders. This mechanism creates a direct link between model usage, operational efficiency, and token value.
Value Metrics
Key Indicators
-
Performance Metrics
- Model improvement rate
- DeltaOne issuance
- API fee accumulation rate
-
Market Metrics
- Trading volume
- Reserve depth (USDC backing)
- Price stability
-
Usage Metrics
- API request volume
- Active users
- Enterprise adoption
- Adoption by other AI models
Next Steps
- Learn about the Automated Market Maker
- Review Bonding Curve
- Understand API Fee Flow
- Learn about DeltaOne Calculations
For additional support, contact our Support Team or join our Community Forum.