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Welcome to Chaos
Chaos Labs transforms data on risk, security, and incentive strategies into powerful tools to guide the evolution of decentralized finance.
Edge
PriceHigh-precision price data with an integrated risk engine powered by Chaos' advanced outlier and anomaly detection.RiskUnlock real-time risk management with automated parameter optimization delivered on-chain.ProofsSecure on-chain delivery of custom data points, including reserve attestations delivered via zero-knowledge proofs.
Dashboards
Incentives
Incentive Program DesignBuild a liquidity incentive program tailored to your platform goals, driving sustainable growth and engagementIncentive PortalGive your LPs the tools they need to understand how incentive changes impact their yieldSybil DetectionIdentify sybil activity on your platform to optimally inform the allocation of incentives and rewards to your community
Research
dydx Re-launch Rewards ExplainersMarket makers and traders can earn dydx rewards based on their activity and contributions, with traders earning points through taker fees and market makers earning points by fulfilling orders and providing liquidity. Points are weighted differently across markets, and rewards are distributed proportionally based on a 7-day TWAP of the dydx price.Edge AI Alpha ReleaseThe alpha release of Edge AI Oracle brings a new standard of truth-seeking and transparency to decentralized ecosystems. Powered by LangChain and LangGraph, it delivers scalable, impartial data resolutions for prediction markets and beyond. Upcoming releases will focus on decentralization, developer tools, and high-integrity data products, paving the way for next-gen on-chain applications.Trusting Trust in the Age of AIWhile resources are heavily invested in improving frontier models and optimizing prompts, the true challenge lies in how AI systems retrieve and rank information. Chaos Labs identifies the greatest risk in AI-generated misinformation infiltrating the data pipeline. If AI agents are unknowingly trained on manipulated or sybilled content, it becomes nearly impossible to trust their outputs. This vulnerability is exacerbated by unreliable document ranking systems, which prioritize popularity and commercial interests over accuracy. The Dead Internet Theory, which warns of a future where human-created content is drowned out by machine-generated noise, serves as a chilling reminder of what’s at stake if these systems are not carefully safeguarded.
Company