Transpose
942 posts

Transpose
@TransposeData
Integrate real-time blockchain data into any application at scale ⛏️ Build with the community: https://t.co/OTPUtn0wUt 🔎 Explore our data: https://t.co/LN8q27IQap




🚀 Out now in Transpose: Historical Balances Access our most requested dataset on #Ethereum —native token, ERC-20, and ERC-721 balances for all addresses at every block height.


Using AI/ML in your smart contracts means trusting a single source of truth and a single point of failure. How can we consume ML outputs that are verifiable and decentralized? 🚨 Introducing Spectral’s Mainnet. A Machine Intelligence Network, powered by #zkML, that ushers in The Inference Economy. How does it work? Spectral's machine intelligence network operates as a dynamic two-sided marketplace. On the one side there are miners (Modelers) who train and contribute machine learning models in a privacy-preserving manner. On the other side, we have Consumers with a fundamental demand for customized, high-quality inferences. To address this need, our network produces verifiable ML inference feeds for smart contracts. While existing oracle networks cater to data feeds, most notably for price data, Spectral addresses a significant gap by enabling an unprecedented feed of high-quality inferences. Spectral’s feeds expand the scope and capabilities of smart contracts, opening new horizons for decentralized applications in web3. 🔗 Our Blog Post post covers all the details bit.ly/46Juc7Y Our Vision: We’re building an incentive network, which will change how web3 perceives and interacts with machine intelligence. At its core, Spectral fosters a decentralized, global community of top data scientists and problem solvers. Through various competitive ML challenges this community is perpetually incentivized through bounties and majority of ongoing revenue. Any web3 company can access these high quality ML models through our streaming inference feeds and implement them directly into smart contracts. Because the model’s proof-of-execution is verified by zkML (powered by @ezklxyz), web3 companies can avoid single point of failure and minimize bias in their ML usage. Find out more: spectral.finance 🚀 Calling All Modelers: We invite all Data Science/ML enthusiasts, students and professionals to join our first challenge: Crafting a web3 Credit Score. 💰 High Stakes: Your chance to win a $100K bounty: Showcase your ML skills and be at the forefront of machine intelligence in web3. Thanks to @AlchemyPlatform, @notnotstorm (Cryo), @gakonst (reth), @duckdb, @ErigonEth, @ezklxyz, @graphprotocol, @MessariCrypto and @TransposeData who help make this possible. Their tools and products have helped us create a comprehensive data set, powering our ML Network.

🔥 Historical balances are now live #onPolygon! This release features ownership balances for all Polygon tokens (including the native token) at every point in time, from the genesis block to the tip of the chain. Let’s take a look at some use cases this unlocks:



