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Truflation, the web3 provider of economic data, has announced the launch of its native network. Its deployment is set to transform onchain data delivery, enabling DeFi developers to create powerful dapps that execute smart contracts based on real-world events. Using Chainlink oracles, the Truflation mainnet will drive down the barriers to building sophisticated decentralized applications that leverage real-time economic data. Real-World Data Arrives Onchain Economic data may be the most valuable currency that isn’t actually money. Yet, the way we access it – where it comes from, how it’s validated, and what we can do with it – has long been riven with inefficiencies. If you think this sounds like another industry in need of the web3 treatment, you’re not wrong. But while the benefits that blockchain technology introduces need little introduction – transparency, verifiability – the format in which it’s now being delivered requires a primer. So here goes. Instead of reacting to yesterday’s news and last month’s inflation print, imagine shaping strategies around data that’s accurate enough to be trusted and timely enough to matter. That’s the promise behind TRUF.Network from Truflation, a decentralized data pipeline designed to feed the next generation of onchain finance applications. At first glance, TRUF.Network may look like another node in the expanding web of web3 infrastructure. But to call it just another data feed would be like calling a supercomputer just another calculator. The network aspires to become the data nerve center for global economic metrics, drawing from over 30 million data points across more than 80 providers to deliver daily updates on everything from inflation and commodity prices to housing trends. What to Do With All This Data? With TRUF.Network, each piece of information enters into a trust-minimized environment where a globally distributed set of node operators validates and processes it. Where does this matter most? DeFi. At present, monthly inflation reports and legacy financial indexes simply aren’t built for the demands of onchain markets. TRUF.Network’s launch means that in a few lines of code, DeFi protocols can now incorporate fresh economic indicators into trading strategies or synthetic assets pegged to an obscure commodity halfway around the globe. As for what can be built with all this data, the only limits are the imagination of DeFi developers, spanning verticals ranging from RWAs to AI. While the primary beneficiaries of the network’s launch will be DeFi builders, it’s also a boon for data providers, who can monetize their streams, selling real-time metrics to data consumers. From Data Dashboard to Data Chain Back in 2021, Truflation started by challenging one of the most entrenched metrics in the global economy: inflation data. Rather than rely on monthly updates that often trailed reality and provide questionable accuracy, Truflation sought to deliver daily measurements drawn from a wide array of sources. This success, buoyed by the trust it earned among economists and investors, laid the groundwork for something bigger. The launch of TRUF.Network is the natural evolution of that ethos: to make economic data not just more accurate, but more open, more honest, and more universally accessible. The value of TRUF.Network becomes clearer when you consider emerging onchain verticals. Real-world assets (RWAs) are making their way onto numerous L1s and L2s, tokenized and tradable AI-driven models also require real-time inputs to power dynamic markets. Prediction markets need the ability to let users wager on everything from the price of crude oil to the cost of a Big Mac in Argentina next month. All of which is meat and drink to Truflation, which has been serving up these sorts of indices for years. While DeFi developers are now well served by omnichain indexers, which can provide pricing information for an array of far-flung networks, they’re underserved by access to off-chain data, which is where Truflation has a chance to shine. Truflation Endorses Government Efficiency Truflation founder Stefan Rust recently published an open letter to the Department of Government Efficiency (D.O.G.E.). In it, he suggested that adopting Truflation’s tools could bring financial transparency and efficiency to a stagnant bureaucratic landscape. Bold as this proposition may be, it embodies where Truflation sees itself, straddling the old world and the new; the legacy data collection landscape, and its onchain counterpart where there’s no need to trust because everything can be verified.