We’re proud to announce the release of Manuscript v1.5.0, the open-source data framework built by Chainbase to power the DataFi era.

The latest version introduces the Solana On-Chain Parser, designed to enhance on-chain data accessibility and to accelerate the growth of the DataFi ecosystem.

🔗 GitHub: https://github.com/chainbase-labs/manuscript-core

Manuscript is one of the core tools driving Chainbase’s DataFi mission, enabling developers and data consumers to seamlessly access, parse, and analyze blockchain data.

As DataFi rises as the next major narrative in Web3, structured and real-time on-chain data is becoming the foundation for innovation in DeFi, AI agents, and other decentralized applications. Manuscript removes the burden of complex infrastructure setup so teams can focus directly on turning raw data into value.

The new Solana On-Chain Parser addresses one of the toughest challenges in the ecosystem: the high complexity and difficulty of parsing Solana’s on-chain data. Inspired by leading data frameworks like dbt’s Fusion Engine, Manuscript provides developers with a simplified, developer-friendly data model to lower the barriers to Solana analytics.

Key Features of the Solana On-Chain Parser:

• Real-time parsing: Millisecond-level response for on-chain data analysis.

• Automatic structuring: Transactions, accounts, and state changes are automatically transformed into structured tables.

• Extensible data models: Developers can customize parsing logic to quickly adapt to evolving business needs on-chain.

With this release, developers will have effortless access to:

• Gain deeper, real-time insights into Solana transactions and behaviors.

• Build advanced workflows such as user profiling, risk monitoring, and trading behavior analysis.

• Seamlessly integrate Solana data with Web2 data platforms like BigQuery and StarRocks.

The release of the Solana parser is only the first of many exciting steps in Manuscript’s roadmap.

Chainbase will continue to expand Manuscript to more ecosystems, refine parsing capabilities, and push forward our mission of building the Hyperdata Network — a foundational layer for the DataFi economy.

We invite developers worldwide to contribute, provide feedback, and build with us.

👉 Explore the Solana parser today on GitHub: https://github.com/chainbase-labs/manuscript-core

Chainbase is building the Hyperdata Network for AI — a foundational layer for the DataFi era.

Built as a Hyperdata Network, Chainbase turns onchain signals into structured, verifiable, and AI-ready data that can be directly processed by AI models and decentralized applications. Its core stack includes:

• Manuscript: a programmable layer for building data assets;

• AVS layer: decentralized data execution and verification;

• $C Token: the native currency for AGI.

This structured data layer supports a new generation of crypto applications that are autonomous, composable, and economically aligned with their users and contributors.

To date, Chainbase has indexed over 200 blockchains, processed more than 500 billion data calls, and supports a community of more than 35,000 developers. Over 10,000 projects actively use Chainbase across a wide range of use cases, including MEV infrastructure, L2 explorers, agent protocols, and onchain analytics.

The founding team brings deep experience in blockchain infrastructure, data engineering, and protocol security. Chainbase is backed by top-tier investors and works closely with ecosystems across modular infrastructure, large language models, and onchain AI.

As the need for machine-readable and economically aligned data continues to grow, Chainbase provides the foundational layer for a programmable data economy—one where information moves freely between agents, protocols, and people.

Website | Twitter | Discord | Telegram | Blog | Docs | Github