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Dynamic Price Impact on GMX Powered by Edge Risk Oracles
GMXRiskOraclesRiskNews

Dynamic Price Impact on GMX Powered by Edge Risk Oracles

Decentralized derivatives exchanges (DDEXs) like GMX face unique challenges in delivering a seamless user experience while maintaining robust risk management. By integrating Chaos Labs' Edge Risk Oracles, GMX has taken a significant step toward bridging the gap with centralized exchanges (CEXs). Edge Oracles enable real-time pricing adjustments, automate critical risk parameters, and support advanced features like dynamic price impact, offering GMX users tighter spreads, reduced slippage, and enhanced platform security.

Corn Network Integrates Edge Price Oracles
CornOraclesNews

Corn Network Integrates Edge Price Oracles

Corn Network, an Ethereum Layer 2 protocol redefining Bitcoin’s role in DeFi, has integrated Edge Price Oracles. With over $60 billion in secured volume, Edge delivers intelligent, context-aware price data to the Corn Network, significantly boosting Corn’s resilience and operational efficiency in dynamic market conditions.

Aave Integrates Chaos Labs’ Edge Risk Oracles
AaveRiskOraclesRiskNews

Aave Integrates Chaos Labs’ Edge Risk Oracles

Following community discussions and voting, Chaos Labs, the industry-leader in onchain risk management,  received approval from the Aave DAO to deploy its Edge Risk Oracles to the WETH on v3 Lido Ethereum.

Trusting Trust in the Age of AI
OraclesRiskAI

Trusting Trust in the Age of AI

While 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.

AI-Driven Chaos and the Rise of Oracles: The Future of Trust
RiskOracles

AI-Driven Chaos and the Rise of Oracles: The Future of Trust

We’re expanding the definition of an Oracle. At its core, an Oracle is more than a protocol to source and deliver high-integrity, reliable, authentic, and secure data between networks. It adds a crucial truth-seeking layer of verification and filtering. Oracles don’t just deliver data—they ensure it’s trustworthy. Using truth-seeking algorithms, Oracles will filter out misinformation and manipulated data, safeguarding the applications and networks they serve.

Oracle Risk and Security Standards: Data Freshness, Accuracy and Latency (Pt. 5)
Oracles

Oracle Risk and Security Standards: Data Freshness, Accuracy and Latency (Pt. 5)

Data Freshness, Accuracy, and Latency are fundamental attributes that determine an Oracle's effectiveness and security. Data freshness ensures that the information provided reflects real-time market conditions. Accuracy measures how closely the Oracle's price reflects the true market consensus at any given time. Latency refers to the time delay between market price movements and when the Oracle updates its price feed.

Introducing Edge: The Next Generation Oracle Protocol
Oracles

Introducing Edge: The Next Generation Oracle Protocol

At Chaos Labs, we've always believed that robust risk management and reliable data are the foundations of a thriving DeFi ecosystem. With Edge, we're putting that belief into action, providing a solution that doesn't just report prices but actively contributes to the security and efficiency of on-chain finance.

Oracle Risk and Security Standards: Data Replicability (Pt. 4)
Oracles

Oracle Risk and Security Standards: Data Replicability (Pt. 4)

Data replicability is the capacity for third parties to independently recreate an Oracle’s reported prices. This requires transparency into two key components of the Oracle’s system: its data inputs and its aggregation methodology.

Chaos Labs Oracle Risk Portal
OraclesProduct Documentation

Chaos Labs Oracle Risk Portal

Chaos Labs is excited to announce the launch of our Oracle Risk Portal. This portal is a public resource designed to offer an accessible overview of oracle feed performance, enabling stakeholders to efficiently assess and compare deviations in oracle data.