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LinkXplore: A Framework for Affordable High-Quality Blockchain Data

Peihao Li

TL;DR

LinkXplore addresses data frictions in blockchain research by offering an open, modular framework to collect and manage on‑chain data at low cost. It reconstructs data from canonical ledger sources, avoids expensive RPC/gRPC through algorithmic optimization, and provides a chain‑agnostic API with per‑chain adapters and Kubernetes deployment. The paper demonstrates a market‑driven module for Solana price data, including a swap decoder and a price utility, with cost analyses showing zero marginal cost for real‑time streaming and substantial savings for historical event analysis, while maintaining high accuracy (MAPE around 0.4%). The work advances practical data infrastructure for researchers and developers with limited budgets and provides a template for adding additional modules in an open, extensible framework.

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

LinkXplore: A Framework for Affordable High-Quality Blockchain Data

TL;DR

LinkXplore addresses data frictions in blockchain research by offering an open, modular framework to collect and manage on‑chain data at low cost. It reconstructs data from canonical ledger sources, avoids expensive RPC/gRPC through algorithmic optimization, and provides a chain‑agnostic API with per‑chain adapters and Kubernetes deployment. The paper demonstrates a market‑driven module for Solana price data, including a swap decoder and a price utility, with cost analyses showing zero marginal cost for real‑time streaming and substantial savings for historical event analysis, while maintaining high accuracy (MAPE around 0.4%). The work advances practical data infrastructure for researchers and developers with limited budgets and provides a template for adding additional modules in an open, extensible framework.

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

Paper Structure

This paper contains 33 sections, 33 equations, 1 figure, 1 table, 2 algorithms.

Table of Contents

  1. Introduction
  2. The Framework
  3. Adding a Market-Driven Module
  4. Identifying market needs
  5. Algorithm development & optimization
  6. Implementation
  7. Swap Utility: Decoding Solana Swap Transactions
  8. Price Utility: Price at timestamp t
  9. Cost analysis & Benchmark testing
  10. Evaluation Setup and Dataset
  11. Cost analysis
  12. Benchmark testing
  13. Discussions
  14. Conclusion
  15. OHLCV Construction from Onchain Swaps
  16. ...and 18 more sections

Figures (1)

  • Figure 1: LinkXplore framework overview. The swimlanes (Project Management, Development, Quality Assurance, and Platform/DevOps) show how uniform, chain-agnostic APIs and per-chain adapters flow through cost planning, data-quality gates, and CI/CD to deliver deployable modules across chains.