> For the complete documentation index, see [llms.txt](https://docs.blocktorch.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.blocktorch.xyz/contribute/open-source-projects.md).

# Open Source projects

Blocktorch is committed to advancing the open-source ecosystem, particularly in the realm of web3 data engineering. If you are a developer you are warmly invited to contribute to the projects, which aim at enhancing accessibility and utility within the web3 data space. Currently, we have published two open-source projects:

1. **Decoder Service**: Designed to convert web3 data into formats that are easy for humans to read, this tool is crucial for developers working in blockchain data analysis and interpretation. [Repository](https://github.com/blocktorch-xyz/decoder) | [Blog Post](https://medium.com/@blocktorch/decoding-web3-data-into-human-readable-format-6804669b6db5)
2. **Batch Decoder**: This project focuses on tracing transactions between Layer 1 Blockchains and Optimistic rollups as Layer 2 solutions, addressing a critical need for better interaction and understanding of cross-layer transactions. [Repository](https://github.com/blocktorch-xyz/optimism-batch-decoder) | [NPM Package](https://www.npmjs.com/package/@blocktorch/optimism-batch-decoder) | [Blog Post](https://medium.com/@blocktorch/the-missing-link-between-l1-and-l2-transactions-on-optimism-b119f61d0464)

Both projects are meant to help decode, make sense and work with blockchain data.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.blocktorch.xyz/contribute/open-source-projects.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
