Long-Term Sustainability
Orby AI’s architecture is designed not just for performance — but for durability. To ensure long-term alignment between compute contributors, RWA stakeholders, and governance participants, the protocol implements automated treasury allocations, incentive reserves, and dynamic pricing mechanisms.
💰 Treasury Allocation
A portion of every inference payment is redirected to the Orby AI Treasury smart contract.
Default Allocation:
5% of every inference fee (in $ORBY or stablecoins)
Collected and governed on-chain
Treasury Use Cases:
Developer Grants
Funding for zk-model builders, RWA integration tools, AI agents
Security Bounties
Rewards for discovering vulnerabilities in verifier contracts
Liquidity Provision
Providing depth on DEXs (Uniswap, Balancer) for $ORBY pairs
DAO Incentives
Bootstrap capital for communities managing tokenized agents
⚙️ Dynamic Pricing Engine (Planned)
Orby AI integrates a pricing oracle + policy layer to adapt to market conditions and network demand:
Mechanisms:
Gas-Aware Inference Pricing
Adjusts inference cost based on L1/L2 congestion
Model Demand Scaling
Heavily used models increase in cost over time
Introductory Discounts
New or low-usage models receive lower base rates
Subscription Tiers
Users can lock $ORBY for discounted bulk access or RWA model slots
🌍 RWA Relevance:
Predictable Yield Flows: Dynamic pricing smooths volatility in revenue forecasts for tokenized models.
Treasury-Backed Stability: A portion of protocol income can be routed to collateralize RWAs or maintain floor pricing.
Governable Allocations: RWA token holders can vote on how treasury funds impact model ecosystem or agent upgrades.
Sustainability is not a static parameter — it’s a programmable feedback loop between performance, pricing, and economic flow.
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