EthereumZuri.ch 2025

Building the Foundations of a Decentralized CPI: Infrastructure Requirements & Design Challenges
01-30, 13:50–14:10 (Europe/Zurich), Beam Stage

In this talk, I will discuss the infrastructure and oracle requirements essential for realizing a fully decentralized Consumer Price Index (CPI) on Ethereum. A decentralized CPI could serve as a critical tool for transparency and accuracy in inflation tracking, yet it poses unique technical challenges. This session will explore the role of decentralized oracle networks in securing real-time off-chain data and ensuring tamper-resistant CPI reporting.
Key areas include the need for reliable decentralized storage, challenges in real-time data aggregation and the role of consensus mechanisms in maintaining data integrity. We’ll also examine the technical hurdles of decentralizing CPI data verification and storage, such as incentivizing data collectors and managing scalability across multiple sectors like DeFi and virtual economies.
Attendees will gain insights into the practical and technical requirements for building a decentralized CPI, understanding how it could drive financial transparency and further the adoption of Ethereum-based applications. This session is aimed at builders and technical users looking to address these complex requirements and implement robust infrastructure solutions within decentralized ecosystems.


The Consumer Price Index (CPI) serves as a fundamental economic metric, tracking inflation and price changes that inform critical financial decisions, from monetary policies to social program adjustments. Traditionally, CPI has been managed by centralized institutions, leading to concerns around transparency, accessibility, and potential biases. However, blockchain technology presents a transformative opportunity to decentralize CPI, creating an inflation measure that is tamper-proof, transparent, and accessible to all.
Building a fully decentralized CPI requires an intricate technical infrastructure. At the core are decentralized oracle networks, which play a pivotal role in bridging real-world data with blockchain networks. Oracles enable real-time aggregation and verification of market data, ensuring CPI accuracy without reliance on centralized authorities. Additionally, decentralized storage platforms (DSPs) such as IPFS provide the necessary immutable storage, safeguarding CPI data from tampering once it is recorded.
Beyond data collection and storage, the success of a decentralized CPI hinges on robust incentive mechanisms. These mechanisms must encourage continuous data input from a diverse pool of contributors, such as data collectors and decentralized oracles. This continuous, real-time input ensures that the CPI remains current, accurately reflecting market conditions. Systems like D-FACTO, a decentralized platform for CPI research, exemplify this approach by fostering transparent data collection, analysis, and verification in a decentralized environment.
A significant challenge in realizing a decentralized CPI is achieving reliable, real-time data aggregation while upholding data integrity. A decentralized CPI system must overcome issues such as incentivizing accurate data reporting, managing the large volumes of data across sectors, and ensuring data is resistant to manipulation. This talk will also explore the infrastructure requirements and consensus mechanisms necessary to maintain the scalability and security of CPI data across applications in DeFi, virtual economies, and Ethereum-based platforms.
Participants will come away with an understanding of the technical demands and infrastructure considerations essential for building a decentralized CPI. The discussion will highlight how blockchain-based CPI can foster trust and financial transparency, supporting the growth of decentralized financial ecosystems and potentially reshaping how we measure and interpret inflation in an increasingly digital world.

Brenda, CEO and Co-founder of Tellor, a decentralized oracle network, is a self-taught solidity developer. Formerly a U.S Federal government supervisor, she led teams in developing statistical software for key economic indicators. Brenda holds a Master of Arts in Applied Economics from Johns Hopkins University.