BlurV1 is a blockchain oracle that provides verified external data to smart contracts. It was founded by the team at Blur Network in [founding year]. The purpose of BlurV1 is to ensure the accuracy and reliability of data used in decentralized applications. It gets its name from the concept of obscuring or blurring the boundary between on-chain and off-chain data sources.
BlurV1 offers several benefits compared to its direct competitors in the blockchain oracle space. One of the key advantages of BlurV1 is its robust and reliable data verification process. BlurV1 employs a sophisticated consensus mechanism that ensures the accuracy and integrity of the data being provided to smart contracts. This is particularly important as trust in the accuracy of external data is crucial for the smooth operation of decentralized applications.
Compared to its competitors, BlurV1 also boasts a highly secure infrastructure. The platform utilizes advanced encryption techniques and has comprehensive security measures in place to protect against data breaches and unauthorized access. This is a crucial feature considering the sensitive nature of the data being transmitted and the potential financial implications of inaccurate or manipulated information.
Another notable benefit of BlurV1 is its scalability. The platform is designed to handle a high volume of data requests without compromising on speed or efficiency. This is a significant advantage, especially as the blockchain ecosystem continues to grow and the demand for reliable and real-time data increases.
Furthermore, BlurV1 offers a user-friendly interface and seamless integration with various blockchain networks. This makes it easy for developers to incorporate BlurV1's oracle services into their smart contracts and applications, reducing development time and effort.
Overall, BlurV1's benefits, such as robust data verification, enhanced security, scalability, and user-friendly integration, set it apart from its direct competitors in the blockchain oracle space. These advantages make BlurV1 an attractive choice for developers and businesses seeking trustworthy and efficient external data for their decentralized applications.
BlurV1 is a decentralized project that leverages blockchain technology to provide privacy-focused solutions. The underlying technology behind BlurV1 is built on the Ethereum blockchain, which is known for its smart contract capabilities.
BlurV1 operates by utilizing a privacy protocol that enables users to obfuscate their transaction history on the blockchain. This is achieved through a process called "mixing" or "tumbling." When users utilize BlurV1, their transactions are mixed with other users' transactions, making it difficult to trace the origin or destination of funds.
The mixing process works as follows: When a user initiates a transaction, it is sent to the BlurV1 protocol. The protocol then selects a group of transactions and combines them into a single transaction. This transaction is then forwarded to the blockchain, effectively obfuscating the original transaction.
To maintain anonymity, BlurV1 employs various techniques such as ring signatures, stealth addresses, and zero-knowledge proofs. These ensure that the sender and recipient of a transaction remain anonymous, as well as the amount being transacted.
By utilizing the Ethereum blockchain, BlurV1 benefits from its security, immutability, and decentralized nature. Transactions processed through BlurV1 are verified by the Ethereum network, providing an additional layer of trust and reliability.
In summary, BlurV1 is a privacy-focused project that utilizes the Ethereum blockchain to enable users to obfuscate their transaction history. Through a mixing process and various privacy-enhancing techniques, BlurV1 ensures that user identities and transaction details remain confidential and untraceable.
DIA fetches trade data from BlurV1 by employing a comprehensive data management process that ensures accuracy and reliability. The specific method used by DIA to scrape trade data depends on the type of exchange being referred to.
For centralized exchanges like Coinbase, Kraken, and Binance, DIA utilizes its scraper technology to directly collect trade data from the exchange databases. This is accomplished by leveraging Rest APIs or WebSocket APIs provided by the exchanges. The frequency of data collection varies depending on the exchange, ranging from 1 to 7 seconds. By retrieving the data as close to the source as possible, DIA ensures high precision and real-time updates.
In the case of decentralized exchanges (DEXs), DIA employs a different approach. It collects trade data from various blockchains by subscribing to swap events in liquidity pools. This allows DIA to retrieve trading data directly from the blockchain itself, ensuring data accuracy and transparency. Popular DEX sources for trade data include Uniswap, curve.finance, and PancakeSwap.
When it comes to NFT marketplaces, DIA captures live trading data by integrating with the respective marketplaces' smart contracts. This enables DIA to retrieve real-time data on NFT transactions, with retrieval periods ranging from 20 seconds to 1 minute. By focusing on the actual transactions occurring on the marketplace, DIA ensures data precision and avoids relying on potentially unreliable bids and offers. Notable NFT integrated exchange sources for DIA include Blur, X2Y2, OpenSea, and TofuNFT.
In summary, DIA's process of scraping trade data from DeFi and NFT exchanges involves collecting data directly from exchange databases using APIs for centralized exchanges, subscribing to swap events on blockchains for decentralized exchanges, and integrating with smart contracts for NFT marketplaces. This comprehensive data management strategy allows DIA to provide highly accurate and customizable price feeds for various blockchain assets.
DIA has a well-defined process for computing trade data from BlurV1 to build price feed oracles, depending on the type of exchange we are referring to (DeFi or NFT).
For DeFi exchanges, DIA follows a two-step process. The first step involves data cleaning and outlier detection. This step ensures that trades with prices diverging from the current market price are excluded. DIA applies an Interquartile Range (IR) filter to identify and remove outliers. Trades falling into the first and last quartiles are filtered out, while trades falling into the middle quartiles move forward for further processing.
The second step involves the application of price determination methodologies. DIA uses various filters, such as the Volume Weighted Average Price (VWAP) and Moving Average with Interquartile Range (MAIR), to calculate the final price. VWAP takes into account the different volumes of trades, while MAIR orders trades by timestamp and calculates a weighted average price for each second.
For NFT exchanges, the process is different. DIA determines the floor price of NFT collections by processing on-chain trade data in two steps. First, the data is cleansed to exclude market outliers and manipulation techniques. Then, a pricing methodology is applied to determine the final price point.
DIA offers multiple pricing methodologies for NFT collections, including the Floor Price and Moving Average of Floor Price. The Floor Price provides the lowest sale price recorded on the blockchain, while the Moving Average of Floor Price returns the moving average of a collection's floor price. DIA applies an interquartile range outlier detection filter to filter malicious behavior such as wash trading.
It's important to note that these processes are designed to provide market-representative prices and minimize the impact of manipulation techniques. DIA also offers the flexibility to discuss custom filters and methodologies for specific use cases.
(Note: The information provided here is based on DIA's process, without including specific details about the company itself.)
Instead of distributing pre-calculated data feeds, DIA covers the whole data journey from individual trade collection, and computation to the last mile of the feed delivery.