AaaS Key Features
Key capabilities of AaaS to revolutionize Web3 game.
Last updated
Key capabilities of AaaS to revolutionize Web3 game.
Last updated
Data Collection & On-chain Storage
Intelligent Data Tagging: Players' gameplay actions (like strategies, play styles) are automatically captured in the background and labeled clearly by , and securely stored on-chain via . All data ownership remains with the original contributors.
Value Extraction: Developers use on-chain data and distributed computing from DCRC to efficiently train specialized AI agents at lower costs.
AI Agent Creation Toolkit
Natural Language Generation: Developers just describe the agent they want in simple words, and the handles the rest. It automatically builds and tests the AI's behavior through the module.
Monetization and Incentives
Revenue Sharing: Players contributing data to commercially used AI agents automatically earn rewards based on agent usage and economic performance.
Subscription Model: Companies and esports teams can subscribe to AI agents for uses like esports training bots, strategic practice partners, or even AI teammates who help you play games and earn rewards.
Player Rewards and Ecosystem Growth
Gamified Contributions: Players earn points from gameplay data, redeemable for $SOONX tokens, NFTs, or other ecosystem assets.
Community-Driven Development: Players and community members can propose or customize agent logic, fostering an active marketplace for user-generated content (UGC).
Cross-chain Compatibility and Optimization
Interoperability: SoonChain's AaaS integrates seamlessly with multiple blockchain ecosystems via the Superchain framework, promoting broader adoption and flexibility.
Optimized Resource Allocation: DCRC dynamically manages computational resources, efficiently allocating power to high-value AI training and lightweight AI models for simpler tasks.
Risk Management
Privacy and Compliance: Employs Zero-Knowledge Proof (ZKP) technology for data privacy and compliance with user consent regulations.Comment
Controlled AI Performance: AI agent logic is thoroughly verified by the AITest (AIT) module, ensuring predictable behavior and clear operational boundaries.