LinkXplore: A Framework for Affordable High-Quality Blockchain Data

📅 2025-11-17
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🤖 AI Summary
High acquisition costs for on-chain blockchain data and expensive commercial API services severely hinder academic research and industrial adoption; moreover, existing tools lack modular, extensible analytical frameworks. To address these challenges, we propose the first open-source on-chain data integration framework, which directly parses RPC responses and ingests real-time data streams to enable low-cost, high-fidelity, multi-chain data collection and unified management. The framework features a lightweight API interface and a layered backend architecture, supporting plug-and-play module extension and significantly lowering integration barriers. Experimental evaluation demonstrates over 80% reduction in data acquisition cost compared to mainstream RPC providers. All source code and benchmark datasets are publicly released, establishing a cost-effective, systematic, and accessible infrastructure for blockchain data analytics.

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📝 Abstract
Blockchain technologies are rapidly transforming both academia and industry. However, large-scale blockchain data collection remains prohibitively expensive, as many RPC providers only offer enhanced APIs with high pricing tiers that are unsuitable for budget-constrained research or industrial-scale applications, which has significantly slowed down academic studies and product development. Moreover, there is a clear lack of a systematic framework that allows flexible integration of new modules for analyzing on-chain data. To address these challenges, we introduce LinkXplore, the first open framework for collecting and managing on-chain data. LinkXplore enables users to bypass costly blockchain data providers by directly analyzing raw data from RPC queries or streams, thereby offering high-quality blockchain data at a fraction of the cost. Through a simple API and backend processing logic, any type of chain data can be integrated into the framework. This makes it a practical alternative for both researchers and developers with limited budgets. Code and dataset used in this project are publicly available at https://github.com/Linkis-Project/LinkXplore
Problem

Research questions and friction points this paper is trying to address.

High cost of blockchain data collection limits research and development
Lack of flexible framework for integrating new on-chain data modules
Need for affordable high-quality blockchain data access solutions
Innovation

Methods, ideas, or system contributions that make the work stand out.

Directly analyzes raw blockchain RPC data
Provides open framework for managing on-chain data
Enables flexible integration of new analysis modules
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