> For the complete documentation index, see [llms.txt](https://docs.inverse.watch/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inverse.watch/products/inverse-chatbot/graph.md).

# /graph

The `/graph` command is a sophisticated feature within the Inverse Flaskbot toolkit, designed to make GraphQL data fetching intuitive and accessible for the Inverse Finance DAO community. Unlike traditional GraphQL queries that require specific syntax, the `/graph` command understands natural language queries. This functionality allows users to request complex data sets from subgraphs without needing detailed knowledge of GraphQL query structure, significantly simplifying data access for community members.

**How to Use**

Fetching data with the `/graph` command is straightforward and user-friendly:

1. **Invoke the Command**: Type `/graph` followed by your query in natural language in any Discord channel where the Inverse Flaskbot is active. Clearly state what data you are looking for in a concise manner. Example : `/graph Show me the total value locked in Inverse Finance`
2. **Bot Processes Your Query**: The Flaskbot interprets your natural language query, formulates a corresponding GraphQL query, and fetches the requested data from the appropriate subgraph.
3. **Receive Your Data**: The bot will reply with the data you requested, presented in a clear and concise format directly in the Discord chat.
4. **Refine Your Query if Necessary**: If the initial response doesn't fully satisfy your request, you can refine your query with additional details or keywords and repeat the proc

This approach to data fetching not only democratizes access to complex data sets but also enhances the overall user experience by allowing more intuitive interaction with the Inverse Flaskbot. By catering to natural language queries, the `/graph` command ensures that even users without technical backgrounds can effectively engage with and benefit from the wealth of data available through the DAO's subgraphs.


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# 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, and the optional `goal` query parameter:

```
GET https://docs.inverse.watch/products/inverse-chatbot/graph.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.