No Cap
Knowledge base layer of human-verified factual data for AI Agents and decentralized applications
Problem Statement
NOCAP creates a trustworthy knowledge base of human-verified facts that AI agents can directly access through our API endpoints and developer SDK. By combining World ID's proof-of-humanhood with economic incentives, we solve the fundamental problem of information reliability in the age of AI.The platform enables verified humans to submit factual claims and collectively validate them through community voting. Each fact is categorized and tagged to create the most precise knowledge base for AI training and inference. AI agents and developers can query specific categories, search by tags, or access the entire verified dataset.Key outcomes:Reliable AI Training Data: Clean, human-verified facts for AI model training and contextDirect AI Integration: REST API endpoints and SDK for seamless AI agent accessCategorized Knowledge: Facts are systematically tagged and categorized for precise queriesDecentralized Truth Layer: Community-driven fact verification without central authorityScalable Verification: Automated resolution with human oversight ensures efficiencyEconomic Alignment: Staking mechanisms reward accurate information and penalize misinformationSybil-Resistant: World ID guarantees only real humans contribute to the knowledge baseAI agents can query "What are verified facts about renewable energy?" or "Give me tagged facts about blockchain scalability" and receive verified, human-validated responses. This creates the foundation for trustworthy AI systems that need reliable factual information.
Solution
Frontend: Next.js 15 World App Mini App with World's MiniKit integrationAuthentication: World ID zero-knowledge proofs of personhood verified server-sideSmart contracts: Solidity on World Chain handling voting periods, stake management, proportional reward distribution, and fact resolutionStorage: Hybrid approach - detailed content (title, description, sources, tags) on Walrus, verification state and stake on-chainAPI layer: REST endpoints serving categorized facts with metadata, search functionality, and real-time factual data for AI Agents.Developer tools: SDK that simplifies interaction with the verified knowledge-base.Economic model: Optional ETH staking for fact creators and voters, proportional reward distribution based on stake and correctnessData structure: Facts include categories, sources, title, description, verification status, cryptographic proofsMobile optimization: Native World App experience with proof of personhood and gas sponsorship for all unchain interactions.
Hackathon
ETHGlobal New Delhi
2025
Contributors
- adipundir
49 contributions