This decision marks a first for a U.S. federal agency, which has never before distributed official economic metrics through decentralized networks. The Department of Commerce confirmed that datasets including Real GDP, the Personal Consumption Expenditures (PCE) Price Index, and Real Final Sales to Private Domestic Purchasers are now being published on-chain. To maximize accessibility, the information is being released across multiple public blockchains, enabling developers and decentralized applications to integrate the data directly into smart contracts. The on-chain datasets are based on the official BEA second-quarter 2025 GDP report, ensuring consistency with established government publications.
Chainlink's oracle infrastructure now delivers BEA data feeds on-chain, utilizing decentralized data aggregation and tamper-resistant reporting across multiple Chainlink node operators. At the same time, the Pyth Network, known for its ultra-low-latency real-time price infrastructure, will verify and disseminate GDP-related metrics on-chain as well. According to Pyth’s official announcement, the initiative positions the U.S. government to deliver economic data with cryptographic verification and global accessibility.
The U.S. Department of Commerce has selected Pyth Network to verify & distribute economic data onchain 🏛️
— Pyth Network 🔮 (@PythNetwork) August 28, 2025
Today’s announcement by @howardlutnick & @realDonaldTrump marks a landmark step for the adoption of decentralization & validates Pyth’s role as a trusted data source 🧵 ⬇️ pic.twitter.com/cOvw8lDNhP
The datasets being distributed include Real GDP, the PCE Price Index, and Real Final Sales to Private Domestic Purchasers, all core BEA metrics reflecting quarterly economic performance. These indicators are now being deployed across multiple blockchain networks, opening the door to broader developer access and experimentation.
By embedding these official data feeds in a blockchain environment, the DOC creates new possibilities for automated trading, macroeconomics-based prediction markets, and risk systems for decentralized finance (DeFi) protocols. Chainlink has highlighted how this data can support tokenized assets, stablecoins tied to macro data, and perpetual futures contracts, effectively aligning digital financial instruments with government-verified benchmarks. Pyth, for its part, has emphasized the project’s role in bolstering U.S. leadership in blockchain infrastructure and transparent data distribution.
This move represents a broader intersection between government data infrastructure and decentralized technology. For the DOC, known as “America’s Data Agency” and steward of critical datasets like GDP and population statistics, branching into blockchain signals a bold push into digital distribution. Chainlink, which has increasingly engaged with regulators and institutions, positions these on-chain feeds as part of an expanding ecosystem.
The U.S. Department of Commerce has effectively set a precedent by publishing macroeconomic data such as Real GDP levels and growth rates, the PCE Price Index and real final sales to private domestic purchasers across multiple blockchain ecosystems. Chainlink and Pyth are each responsible for ensuring these datasets are distributed in a verifiable and tamper-resistant manner. The information is being deployed across a broad set of public blockchains, establishing an early test case for how authoritative statistics can circulate globally in decentralized form.
The implications go well beyond technical innovation. Chainlink suggests that authenticated GDP data on-chain could empower DeFi developers to construct risk models responsive to macroeconomic cycles, support prediction platforms that align with official benchmarks, and enable creation of tokenized instruments tied directly to national indicators. For policymakers, this initiative demonstrates how agencies can harness blockchain to enhance transparency while addressing the need for verified, tamper-resistant public data.
The U.S. Commerce Department’s move signals more than a technical pilot; it is an early glimpse of how national statistics could flow into the digital economy in real time. By placing GDP and inflation benchmarks within reach of blockchain developers, the government has opened the door to new financial instruments, data-driven applications, and transparent policymaking tools. Whether this experiment grows into a permanent distribution channel or not, it marks the beginning of a shift in how official information can be authenticated, shared, and acted upon in decentralized environments.
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