Elementus.io Website Review

elementus is building the future of data interoperability on the blockchain.. enterprise-grade data for every industry, from every non-private ledger. blockchain data is surprisingly hard to use. elementus makes it easy. elementus is a protocol and platform that enables combining, an*lyzing, and programming on data from all non-private blockchains. with elementus, data consumers like financial firms, software developers, and an*lysts can build new clas*es of applications.. elementus is a revolution in data interoperability, legibility, and portability. trade based on network signals, see other investors’ behavior spot vulnerabilities or fraud instantly, and trigger automated functions monitor fund flow, ongoing token sales, or individual addresses tracking icos is surprisingly hard, despite the fact that all the information is public. that’s why popular reference sites like tokendata and coindesk are missing data for over half of all icos. moreover, the data collected on these sites is often very superficial—elementus enables you to get all the data the blockchain offers. every ico is identified immediately upon the smart contract being made public, across any blockchain with public smartcontracts. see sophisticated indicators like hard cap fill velocity, or notable investors or advisors (based on wallet address). since the elementus protocol does the heavy lifting, building a version of crunchbase for icos can be done in <200 lines of code. discover any potential wash raising, smart contract flaws, or other risks and be immediately notified when vulnerabilities are noticed.. you could build these services, but you’d probably have to build elementus first. algorithmic trading based on network signals, or blockchain market intelligence, like cryptoas*et bloomberg terminal cross-chain devops, or a mulesoft equivalent for blockchain space siftscience or okta for blockchains, other cross-network forensics tools for distributed ledgers palantir or bigquery for blockchains, enabling sophisticated data science across decentralized networks