Blog and Research

Introducing Edge: The Next Generation Oracle Protocol
featuredOracles

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.

Chaos Labs Secures $55M in Series A Funding
featured

Chaos Labs Secures $55M in Series A Funding

We're excited to announce our $55M Series A led by Haun Ventures to accelerate the development of our advanced risk management platform.

Oracle Risk and Security Standards: An Introduction (Pt. 1)
featuredOracles

Oracle Risk and Security Standards: An Introduction (Pt. 1)

Chaos Labs is open-sourcing our Oracle Risk and Security Standards Framework to improve industry-wide risk and security posture and reduce protocol attacks and failures. Our Oracle Framework is the inspiration for our Oracle Risk and Security Platform. It was developed as part of our work leading, assessing, and auditing Oracles for top DeFi protocols.

Introducing Aave's Chaos Labs Risk Oracles
featuredOracles

Introducing Aave's Chaos Labs Risk Oracles

In the fast-paced and volatile environment of DeFi, managing risk parameters across Aave's extensive network—spanning over ten deployments, hundreds of markets, and thousands of variables such as Supply and Borrow Caps, Liquidation Thresholds, Loan-to-Value ratios, Liquidation Bonuses, Interest Rates, and Debt Ceilings—has evolved into a critical, yet resource-intensive, full-time endeavor. Chaos Labs aims to streamline this paradigm by integrating Risk Oracles to automate and optimize the risk management process, achieving scalability and near-real-time risk adjustment capabilities.

Edge Proofs: AI-Powered Prediction Market Oracles

Edge Proofs: AI-Powered Prediction Market Oracles

Edge Proofs Oracles ensure verifiable data provenance, integrity, and authenticity, enabling blockchain applications to trust the external data they rely on. This capability is crucial for Prediction Market Oracles, a specialized subset of proof oracles designed to bring off-chain data on-chain in a secure and trusted manner, ensuring accurate verification of real-world outcomes like elections.

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.

dYdX Chain: End of Season 6 Launch Incentive Analysis
dYdXLiquidity Incentives

dYdX Chain: End of Season 6 Launch Incentive Analysis

Chaos Labs is pleased to provide a comprehensive review of the sixth trading season on the dYdX Chain. This analysis encompasses all facets of exchange performance, emphasizing the impact of the Launch Incentive Program.

Gearbox LT Methodology
GearboxRiskSimulations

Gearbox LT Methodology

This methodology proposes a framework to derive liquidation thresholds (LT) and liquidation bonuses (LB) specifically for LSTs and LRTs on Gearbox, which are assets closely related to ETH. These tokens are fundamentally priced on Gearbox based on their intrinsic value as receipt tokens representing underlying staked or restaked ETH, when withdrawals are enabled. However, during periods of significant market volatility, LSTs and LRTs may temporarily deviate from their fundamental ETH value in the open market due to factors such as liquidity constraints, market sentiment, and liquidation events.

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 Secures $55M in Series A Funding

Chaos Labs Secures $55M in Series A Funding

We're excited to announce our $55M Series A led by Haun Ventures to accelerate the development of our advanced risk management platform.

dYdX Chain: End of Season 5 Launch Incentive Analysis
dYdXLiquidity Incentives

dYdX Chain: End of Season 5 Launch Incentive Analysis

Chaos Labs presents a comprehensive review of the fifth trading season on the dYdX Chain. The analysis encompasses all facets of exchange performance, emphasizing the impact of the Launch Incentive Program.

Arbitrum STIP Risk Analysis | Insights & Key Findings
ArbitrumLiquidity Incentives

Arbitrum STIP Risk Analysis | Insights & Key Findings

Over the past 10 weeks, Chaos Labs has performed a deep analysis of three protocols’ STIP programs from a risk and efficiency point of view. This post focuses on aggregating the learnings from these case studies into a consolidated review to help delegates and protocols improve their decision-making in the future.