Chainbase

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Chainbase

Chainbase is an omnichain data network designed to unify data into a single ecosystem, offering a transparent data interoperability layer tailored for AI applications. It features a dual-chain architecture that enhances data programmability and composability while supporting high throughput, low latency, and improved security through a dual- model. The platform aims to improve the accessibility and usability of data in the context of an open Internet framework. [1]

Overview

Chainbase is a large omnichain data network integrating and AI in the AGI era. The network supports open participation, incentivizes positive contributions, and prioritizes efficiency, security, and decentralization. Its mission is to make data accessible and practical, enhancing collaboration between and AI.

The platform employs an innovative four-layer framework supported by a dual-chain architecture to enable programmability and composability of data. This setup ensures high throughput, low latency, and improved security through a dual- model. The network allows users to create manuscripts with general-purpose languages (GPL) like SQL, providing universal access to crypto data.

The architecture comprises four layers: [2] [3]

  1. Co-Processor Layer: Promotes high-quality data generation under unified open standards. Manuscripts and Theia models facilitate collaboration, enabling large-scale knowledge integration and global cooperation.
  2. Execution Layer: Features Chainbase DB (CDB), a next-generation on-chain database achieving data and task parallelism for efficient processing and storage of large-scale data. Eigenlayer enhances economic security, balancing performance with security.
  3. Consensus Layer: Ensures agreement among execution layer on data states using CometBFT for efficient and robust consensus under large data loads.
  4. Data Accessible Layer: Integrates on-chain and off-chain data into a decentralized data lake, ensuring trustless access. Technologies like and the storage-based consensus paradigm (SCP) maintain data integrity and reliability. 

Features

Manuscript

Manuscript is a novel data streaming framework that seamlessly integrates on-chain and off-chain data into target storage systems. It enables unrestricted querying and analysis, offering a unified approach to processing complex data for various applications.

At its core, Manuscript transforms raw data into structured, categorized, and tagged formats that are easy to interpret and use. By incorporating advanced artificial intelligence algorithms, it identifies patterns, trends, and anomalies in large datasets, empowering users with actionable insights. The framework provides tools and resources to streamline this data processing, enhancing efficiency and transparency.

Manuscript's design emphasizes modularity and scalability, making it adaptable to diverse data protocols. It features components such as Accessors for unified data access, Processors for creating and managing data workflows, Handlers for lifecycle management and consistency, and Signers for secure, permissioned data access. These elements work together to create a robust framework that supports secure and efficient data handling while promoting innovation in applications. [4]

Dual Chain

Chainbase's dual-chain architecture integrates and to create a powerful and flexible framework for cross-chain data management. This structure combines the programmability and composability of systems with enhanced security, supporting high throughput, low latency, and finality. Employing a dual- model addresses vulnerabilities like the "death spiral" seen in early networks, ensuring greater economic stability and resilience.

The architecture is divided into two core components: the Execution Layer and the Consensus Layer. The Execution Layer, powered by , efficiently processes large-scale data through parallel computing. This layer handles high-throughput tasks and serves as a runtime environment for programmable logic, allowing developers to create standardized manuscripts that unify diverse data sources into usable datasets. The Consensus Layer, built on CometBFT, ensures data consistency across the network with instant finality. Once data is processed and added to a block, it is finalized without additional confirmations. CometBFT’s proven reliability underpins this layer, providing robust security for large-scale data operations. The dual-chain architecture bridges the gap between performance and security, enabling advanced data processing and seamless integration across blockchains. [5]

Dual-Staking

Dual on Chainbase is a mechanism designed to enhance the security and stability of networks by mitigating vulnerabilities like the "death spiral," a scenario where declining token value weakens network security, reduces , and further depresses token prices. This model leverages two tokens to secure the network: a low-volatility external token, such as , and the network’s native token.

Chainbase implements dual through three methods. Modular dual requires separate quorums from local operators and -backed operators. Native dual combines the stakes of both operator groups into unified units, validated through an external oracle to reach consensus. Veto dual allows -backed operators to act as a safeguard, granting them veto power to reject invalid responses from local operators and ensuring additional oversight and security. This multi-token approach strengthens the network while maintaining decentralized functionality. [6]

Products

Data Platform

The Chainbase Data Platform is a comprehensive data infrastructure for applications designed to efficiently index, transform, and utilize large-scale on-chain data. It integrates enriched on-chain data with streaming computing technologies to provide tools and services that simplify building, managing, and scaling projects. This infrastructure automates data indexing and querying, streamlining developers' complex data operations.

The platform includes several key features. Its API offers straightforward access to indexed data, enabling users to retrieve the necessary information easily. Datasets include raw, decoded, and abstracted data to support advanced application development with modern protocols. The Data Cloud feature allows low-latency queries through an endpoint, utilizing the platform's indexed datasets for customized needs. Additionally, the Data Sync function streams real-time data directly to a user's backend, facilitating the creation of robust applications. [7] [8]

Theia

Theia is a model trained using Chainbase's extensive on-chain data, fine-tuned to deliver reliable and comprehensive intelligence. It is designed to translate complex on-chain data into actionable insights by combining language model knowledge with Chainbase's omnichain data network through model training. TheiaChat, the initial chatbot iteration, is a user interface for accessing the Chainbase Network , enabling users to interact with resources and services seamlessly.

Theia is positioned as an advanced model for the ecosystem, developed using the Decentralized Weight-Decomposed Low-Rank Adaptation ( D2ORA) algorithm and patterns identified through machine intelligence. Its key functionalities include enabling natural language data queries without requiring technical expertise, providing comprehensive coverage of data like transactions, , and , and supporting in-depth analysis to identify trends and patterns.

Theia also incorporates user-driven improvement, allowing feedback and interaction to enhance its capabilities via reinforcement learning. All interactions are recorded on the Chainbase Network , ensuring transparency, traceability, and secure handling of user data. [9] [10]

TheiaChat

TheiaChat is an developed by Chainbase Labs. Its foundation is Theia, the first crypto world model. TheiaChat is an accessible interface for users to interact with the Chainbase Network, enabling access to on-chain data intelligence without requiring specialized expertise.

TheiaChat supports two main user groups, both of which contribute to the development of the Chainbase Network. Non-expert users, such as beginners without prior knowledge, interact with TheiaChat by engaging in conversations and providing feedback, which helps improve the system. These users receive network rewards for meaningful contributions. Expert users, including professional traders and security specialists, contribute by building Theia Task Models within TheiaChat, earning rewards for models with significant adoption. [11] [12]  

C

The $C token is the native of Chainbase’s decentralized data network. It facilitates ecosystem activities by aligning participant incentives to maintain network efficiency and security. Designed to support the operation of the execution and consensus layers, $C plays a key role in organizing data providers and consumers. Additionally, it incentivizes protocol participants to contribute to the network's effective coordination and ongoing development. [13]

Funding

In July 2024, Chainbase raised $15M in a Series A funding round led by MPCi and Tencent. Other investors included Hash Global, Folius Ventures, DFG, BODL, Jsquare, and Mask. [14]

Partnerships

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Edited On

January 27, 2025

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