> For the complete documentation index, see [llms.txt](https://docs.mind-ai.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mind-ai.io/solution/product-overview-and-use-cases/on-and-off-chain-analytics-and-insights.md).

# On and Off-Chain Analytics & Insights

**Alpha View**\
The Alpha View provides a live, interactive dashboard that aggregates key data points such as influencer activity, community engagement, new holders, listing quality, and supply distribution. It helps users quickly identify trending tokens and evaluate potential opportunities or risks in the market.

**Heat Map**\
Visualize momentum by spotting tokens gaining traction across various indicators, enabling timely and informed investment decisions.

**KOL Trend Score**\
Track which tokens are being frequently discussed by influencers to identify emerging trends and capitalize on them early.

**New Holders Trend Score**\
Monitor changes in the number of new token holders to gauge interest and refine your investment strategy.

**Groups Trend Score**\
Analyze community discussions to understand the buzz around specific tokens and anticipate market shifts.

**CEX & Pads Quality Score**\
Evaluate the quality of a token's exchange listings and launchpads to determine its reliability and investment potential.

**Token Centralization Degree**\
Assess the distribution of a token’s supply to avoid overly centralized assets, which may pose higher investment risks.


---

# 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.mind-ai.io/solution/product-overview-and-use-cases/on-and-off-chain-analytics-and-insights.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.