📇The Indexing Network
Last updated
Last updated
Torram Indexing Network will support the entire Bitcoin ecosystem (ordinals, runes, BRC20s) and Web2 data (forex, commodities, bond, stocks, sports betting, etc).
Indexing nodes process and index blockchain data to make it quickly accessible and easily retrievable for applications natively in bitcoin. AI-Enhancement machine learning models predict query demand to dynamically allocate resources and optimize data retrieval.
Trust: At its core, TORRAM enables clients to trust the integrity and accuracy of oracle data without the need for independent verification. This approach significantly simplifies the challenges usually associated with data verification in decentralized financial systems.
Smart Metering System: TORRAM integrates a sophisticated metering system that ensures efficient and equitable payment processes. Clients pay per data query or transaction, promoting a balanced and low-risk environment for both clients and network participants.
Performance: Clients using TORRAM can expect consistent and reliable performance. The platform allows for payments based on specific performance metrics, tailored to suit various data sources, ensuring a high standard of data delivery and processing.
Data Availability: A critical feature of TORRAM is its focus on ensuring high data availability. This functionality is crucial for the seamless operation of decentralized applications (dApps), guaranteeing continuous access to necessary data.
AI-Enhancement: Machine learning models predict query demand to dynamically allocate resources and optimize data retrieval in subqueries.
Aligned Incentives: A key aspect of TORRAM’s design is the alignment of incentives among all stakeholders – clients, node operators, and dApp developers. This alignment is essential to foster network growth and maintain a robust ecosystem.
TORRAM’s whitepaper introduces a sophisticated, multi-layered protocol stack, where each layer fulfills a specific function within the ecosystem:
• Consensus Layer: Executes smart contracts and manages payment settlements. This layer is foundational for the protocol’s security, facilitating trust mechanisms with enhancements from AI to optimize contract execution and error detection.
• Peer-to-Peer (P2P) Network: Defines how nodes within TORRAM’s network are located and interconnected, vital for preserving the decentralized nature of the protocol. AI algorithms here can optimize node discovery and data routing efficiencies.
• Storage Layer: Involves data storage on public blockchains or content-addressable networks, serving as the repository for data queried by clients. This layer may use AI to manage data indexing and retrieval processes efficiently.
• Query Processing: Details how queries are routed and processed within the network. AI enhancements in this layer can predict and manage query loads, ensuring efficient resource allocation and faster response times.
• Payment Channels: Utilizes blockchain-based micro-payment channels to enable quick and cost-effective transactions within the network, crucial for its economic sustainability.
• Governance: Manages schemas, data sources, and dispute resolutions. AI can be used here to automate governance decisions and resolve conflicts based on pre-set criteria and learning from past decisions.
TORRAM utilizes a flexible query language designed for efficient interaction with blockchain data, allowing clients to retrieve data dynamically.
This choice supports complex queries from decentralized applications, improving front-end capabilities in dApps by enabling direct, flexible, and efficient data queries that align with the decentralized nature of blockchain applications.
Network Participants and Roles The TORRAM network involves various participants, each contributing uniquely:
• dApp Clients: These front-end applications utilize TORRAM to query blockchain data, representing end-users who interact with the protocol.
• Node Operators: Operate the network nodes, including Data Nodes for AI processing and Oracle Nodes for executing smart contracts and query responses.
• Economic Agents: This group includes all stakeholders with economic interests in the network, such as data consumers who pay for queries, dApp developers who build on TORRAM, and investors who provide capital expecting the network's growth.
