DDD is the digital token symbol of the Scry.info project. Scry.info is a blockchain-based quantitative data provision and trading platform, the goal is to provide a digital contract engine for an intelligent blockchain society, so that developers and individuals can find information from sports, entertainment, transportation, Meteorological, financial, agricultural, genetic models and other data sources, and encourage more community developers, multinational organizations, companies and individuals around the world to write data sources to participate in the cluster intelligent certification of blockchain data nodes.

Project Vision

SCRY.INFO hopes to provide a digital contract engine for an intelligent blockchain society, so that developers and individuals can find information from sports, entertainment, transportation, weather, finance, agriculture, genetic models, etc. Data sources, and encourage more community developers, multinational organizations, companies and individuals around the world to write data sources to participate in the Cluster Intelligent Authentication (Using Authentication in Certification agreement Based Swarm Intelligence) of blockchain data nodes.

Application scenario

1. Shared real data services for all prediction market applications
In the current entire blockchain ecosystem, prediction applications are a huge market, but many prediction applications Applications often need to introduce real-world data into the blockchain by themselves, and because the original intention of these developers is to focus on the application, it is difficult for other applications to share the data introduced in a certain prediction market application. This not only caused a waste of blockchain resources, but also caused insufficient authenticity of the voting results because the user base of a certain prediction application was too small.
SCRY.INFO proposes the concept of a unified public data service, aiming to break down the data barriers between each forecasting application. For example, the data of A forecasting application can also be provided to B is used by the application, and the fee is uniformly settled using SCRYCOIN. On this basis, the data used to predict the market can also be used for business reports, public opinion surveys and other types of applications. The various transfer fees stipulated in the agreement guarantee the rights and interests of all participants.
2. Information market for data providers and data consumers
How to make data interoperable and maximize the value of data?
SCRY.INFO provides a set of flexible mechanisms for data providers: in addition to providing specified data for data demanders, they can also release data independently, and push this data to the entire market through SCRY.INFO: any need Data demanders can obtain data and verify services by paying a one-time query fee to data providers and data notaries. This ensures the independence of data providers and reduces their dependence on existing data demanders.
Data consumers here are actually a relatively broad group. For example, business report providers are a typical data consumer, because general business reports often need to quote a large amount of reviewable data, and SCRY.INFO The data transaction model just meets this requirement.
For example: Suppose a data provider A creates a supply agreement contract Y and passes the notarization process. At this time, the report provider B needs the data in Y in its own report contract Z. At this time, B pays the query fee and queries the data in Y and saves the data in its own Z contract, and ensures that in the Z verification function Contains the code that calls the authentication API in Y. In the future, if B needs to prove the source of this data in the Z contract, the prover only needs to call the verification code provided by Z.
3. Business intelligence voting hotspot marketing tool
Business intelligence voting and market hotspot marketing survey are also an industry highly dependent on data. For example, a business entity wants to investigate people's opinions on the colors of winter clothing of its brands in previous years, so as to provide a reference for the design of this year's winter clothing colors. According to past experience, there will be the following practices: distributing leaflets, but the labor cost is high and inefficient; launching a vote on the official website and giving gifts, but the official website is low-profile and few participants; will purchase data from a third-party centralized organization, However, the fee is not low, and the authenticity cannot be guaranteed.
SCRY.INFO is hoping to provide them with efficient services, for example:
brand organizations can initiate a referendum agreement contract (reward nature) on SCRY.INFO and fill in relevant options, description, referendum number limit, legal Referendum ratio and other parameters, and then released. Participants in the SCRY.INFO ecosystem notice this reward order and directly enter the notarization process to vote on the set options. After the voting ends successfully, the participants take away the bounty (SCRYCOIN), and the NGO gets the sample data, a win-win situation. And brand owners can check the results next year and the year after, so that through continuous accumulation, SCRY MSPs (a multi-faceted platform that promotes participant interaction and transactions) can form a yearly user intention trend table to cater for them in the future. Market policies provide true and reliable data guidance.
4. Evidence deposit services for individuals and enterprises
At the same time, after special settings, the data protocol provided by SCRY.INFO can also provide real-life services such as property notarization and will notarization Such depository services. This type of service not only has the functions in the traditional sense, but also has some unique advantages. First of all, these electronic agreements have the characteristics of blockchain decentralization and immutability, which are especially important for depositing evidence; secondly, the protocols provided by SCRY. A clear formal logic provable and reviewable way to directly use these deposit certificates, which is difficult for traditional certificate deposit services.
The specific method of use is: first construct a commissioned supply agreement contract, set the data writer and data notary to the whitelist mode, and specify the identity of the data writer and data notary at the same time, and then the data writer And when the data notary writes the data and notarizes the data, they attach their own signature data for this contract. After submitting the contract, a data deposit certificate certified by multiple signatures is generated.
In terms of technology, since the blockchain is based on data storage, how to store data has become the technical difficulty they most need to break through.
SDBC is a new decentralized data storage blockchain. Currently, small data is placed on ETH, and larger data is placed on IPFS in the form of indexes, but these third-party storages are more or less It is not very satisfied with SCRY.INFO's data storage and query behavior. They plan to develop a blockchain for storage and query that is more in line with the SCRY.INFO query business, which can provide SCRY.INFO with basic services with larger storage capacity, safer data, and faster query speed.
In order to meet their data storage needs, there are several important goals in development:
1) Ensure the integrity of stored data: By storing data in blocks, these data blocks exist in a certain position of the entire network node . Use MerkleTree to verify its integrity, but also optimize storage for queries and use it with queries.
2) The security of data storage: set different security levels to sign the stored data (DSA, RSA, ECDSA, etc.), and the form of multi-party signature. Use MerkelTree to verify the legitimacy of the node. Use a cryptographically secure pseudo-random number generator (CSPRNG) to generate a private key, and obtain the corresponding public key through an elliptic curve algorithm. It is planned to use the address after the transformation of the public key as the identification of each node, that is, the public key is transformed into an address after SHA operation: Base58 (identification + public key + head4 (SHA256 (SHA256 (public key))), etc.
3) It can provide simple operation commands similar to SQL to complete more complex business queries: provide a lightweight distributed relational data storage and processing similar to Azure cloud database. It is planned to adopt the SCRYO-Top query algorithm based on the three-dimensional binning Bloom filter table (TF). Experimental results show that the algorithm can avoid repeated access to data objects, and can achieve efficient query processing of large-scale data with a low false positive rate. Compared with NRA and BPA, when the attribute list exceeds 4, the overhead is significantly reduced, and it is suitable for query processing applications facing large-scale data.

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