# Liisa Analytics

> **PROJECT PENGU** x **LIISA**

We have been granted early access to **LIISA.IO** ! \
**Off Chain Utility** for the Alpha Stage (You don't need to connect your wallet)  \
\
**What is Liisa?**\
\
An NFT analytics platform that uses AI to help you make better & faster decisions. Besides quantitative data (evolution of price, sales volume, marketplace listings) you’ll get info about qualitative data like the community behind a project, the utility, the team/founders, social media presence, engagement, and growth.  \
\
This is in the very early stages of development but the team behind it, based in Lisbon, are encouraging users to provide as much feedback as they can, as their goal is to develop a tool with every feature you want to see and use.  \
\
**Project Pengu Community:** \
\
You will have free and exclusive access to their alpha version while the team is still developing and improving the platform. \
Feel free to share your feedback and thoughts on their Discord.  \
\
This is in the very early stages of development, but the team behind it, based in Lisbon, encourages users to provide as much feedback as possible, as their goal is to build a tool with all the features you want to see and use.  \
\
You have free exclusive access to their Alpha version while the team is still developing and improving the platform. \
In a few months, they will launch a paid plan and those who provided feedback will be able to use it for free up to 1 year \
\
**Holders:** \
\
70% discount for 3 months to use the paid features after the free trial is over!


---

# Agent Instructions: 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://project-pengu.gitbook.io/project-pengu-docs/utilities/partnerships-access/liisa-analytics.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.