DIA (Decentralized Information Asset) is a cross-chain, end-to-end, open source data and predictor platform for Web3.

DIA's goal is to bring together data analysts, data providers, and data users. Make validated and auditable financial market data open source accessible to traditional and decentralized financial markets.

Other prognostic projects in the market work order allocation collaboration between on-chain contracts and off-chain distributed nodes, through reward and punishment mechanisms, reputation contracts and aggregation models (aggregated data from multiple sources), data requests and feedback. But the data obtained in this way does not have a strong security endorsement, the core is that if the uploader conspired to do evil, then there will be a certain delay in punishment, and the data has been put into use, everything is too late.

The DIA platform supports capturing, validating, and sharing transparent and validated data feeds for both traditional and digital finance applications. DIA's agency-level data feeds cover asset prices, meta-boundary data, loan interest rates, etc.

DIA is divided into three main components. First, DIA's data collection mechanism grabs and retrieves data from a variety of sources. Second, DIA's database layer has the flexibility to handle all different types of data flows, from HFT apis to data that never changes and cannot be accessed in a high-performance key-value store. Finally, the collected and summarized data is distributed using DIA's REST API and Oracle system. 1. Procurement data Procurement and data validation bounty is funded by DIA tokens and has been awarded. All data is pulled from the primary source to the DIA server. 2. Supply DIA database for hashing by chain, all scraper code and documents are hosted on Github. All data is accessible through API endpoints or Oracle. Access lending platforms, index providers, prediction markets and other users have free access to DIA's proven open source data streams.

DIA tokens have the following use cases: 1. Governance: DIA tokens can be used for voting and network governance in a decentralized community. 2. Validation: DIA tokens can be used as collateral for tokens to incentivize validation of existing price predictor data, as well as for dispute resolution.

DIA's project features three: 1. Transparency: DIA's data feeds are open source and accessible. Source, method, and crawler codes are hosted on Github, and database hashes are on the chain for comprehensive audit of historical data. 2. Validation: DIA data is validated by the entire stakeholder community. Market participants can submit data requests and incentivize validation of feeds. 3. Scalability: Decentralized data sources make it easy to scale. DeFi can design financial products for highly diversified underlying assets and events. DIA provides an extensible infrastructure to meet data requirements.

DIA is set up as a hybrid system with an off-chain component for storing and processing large amounts of data and an on-chain component for providing data sources for financial smart contracts. Currently, Ethereum is used as a smart contract platform due to its wide range of applications and technical quality, but the DIA system is not limited to one blockchain technology. To collect financial data, we use a centralized back end to run a collector of various financial data. All collected data is processed by a database setup that includes a stream-oriented Kafka instance and a key-value store for faster access to some intermediate results. These collectors fall into different categories: 1, Exchange TENNIS: They collect data from the exchanges of cryptocurrencies and other assets like stocks, futures and rare earth metals. 
 Each exchange scraper runs independently and is built around the idea that Pairs of assets are used to indicate the pairs to be used in trades. 
2. Decentralized financial scrapers: They collect data in the form of decentralized exchanges, lending platforms, and other publicly available DeFi. 
3. Blockchain scratchers: These scratchers are used to determine the properties of the blockchain. The most prominent attribute is the revolving supply of cryptocurrencies, which already exist in various scratchboards. These scraping tools regularly update the data on the back end based on the expected update rate of the blockchain. 
 blockchain scraper runs as a independently managed Docker container. 
 Typically, they collect gigabytes of data over time (they are dealing with growing blockchains) and should therefore be managed in a separate way rather than baked directly in database executables. 
4. Quotation scrapers: These are used to collect official quotations from central trusted providers. 
 In addition to the European Central Bank's (ECB) daily rates for various international currencies, we have collected several interbank overnight rates, such as SOFR and €STR.

Total circulation: 200 million; Private placement: 10 million pieces (5%); Public offering: 30 million (15%); Public offering: Bonding Curve

DIA's data sources are transparent and publicly accessible to everyone. Market participants can provide, share and use financial and digital asset data, and DIA's mission is to democratize financial data. Access the data directly through an API or predictor, connecting DIA directly to a computing agent or any other distributed financial (distributed) application. DIA leveragescryptocurrencies' economic incentive model to capture and validate data. The DeFI platform will migrate to transparent and auditable third-party solutions to ensure the sustainability of its core products.

Experts say DIA is one of the most promising projects today. DIA tokens are available to the crypto community from August 4. Many well-known VC firms are supporting decentralized information assets. One of the most prominent VCS backing DAI is Outlier Ventures.

DIA's focus is on the financial sector. DIA is an open source financial information platform that uses crypto economic incentives to collect and verify data. Everyone has public access to DIA data and can customize price data to the user's requirements. DIA addresses the pain points of being largely opaque, inconsistent, inaccurate and difficult to scale with the prognosticators currently on the market. DIA, however, solves this problem by creating a distributed Oracle network, which is difficult to implement and therefore faces uncertain risks such as code security.