AI x Web3 Onchain Equity Intelligence
AI discovers real-world equity chokepoints and forward shortages. Web3 makes every investment thesis transparent, verifiable, and onchain.
Real-world investing is opaque. Web3 investing is too price-driven.
Traditional research is hard to verify
Equity theses live in private reports, chats, and notebooks. Users cannot easily verify why an asset was selected, whether the thesis changed, or how decisions performed.
Web3 tools miss real-world fundamentals
Most dashboards focus on token flows, price action, or hype cycles. They rarely connect to supply chains, policy catalysts, critical materials, or RWA equity logic.
A transparent AI research layer for real-world assets.
Genesis Alpha Agent turns industrial research into onchain-verifiable investment records: thesis, score, catalyst, risk, timestamp, and portfolio weight.
Scans events, shortages, chokepoints, catalysts, and valuation discipline.
Commits thesis hashes, timestamps strategy changes, and enables public audit trails.
Maps U.S. equities and future tokenized stocks into transparent portfolio workflows.
From shortage signal to onchain thesis proof.
Event Scan
Policy, export controls, wars, capacity bottlenecks, critical material shortages.
F-Shortage
Detects 6-24 month supply-demand imbalance and upcoming scarcity windows.
Chokepoint
Scores replacement difficulty, supply concentration, demand slope, and catalysts.
Portfolio
Classifies assets into CORE, WATCH, or REJECT with risk and update triggers.
Onchain
Hashes thesis records and links them to allocation snapshots and performance.
Example output: research decisions are explainable, not black-box.
LLM research agents + structured data + smart contract proof.
Research Agent
LLM-driven event classification, shortage detection, chokepoint scoring, and thesis generation.
Data Pipeline
Market data validation, 52-week position, YTD momentum, valuation, and catalyst tracking.
Thesis Registry
Smart contract stores thesis hash, timestamp, score, ticker, and simulated allocation metadata.
Dashboard
Shows assets, score changes, catalysts, risk factors, portfolio snapshots, and onchain proof.
Future Integrations
Tokenized stocks, RWA protocols, prediction markets, DAO treasury voting, and DeFi execution layers.
RWA needs research transparency, not just token wrappers.
Tokenized real-world assets are growing, but investment logic is still offchain and fragmented.
LLMs can continuously scan events, filings, news, and supply-chain evidence at scale.
Thesis hashes and timestamps make strategy changes auditable without exposing private full reports.
Genesis Alpha Agent is not a black-box trading bot. It is a composable, auditable AI research layer for real-world assets.
Built for Genesis Hackathon by 99x.meme.