> For the complete documentation index, see [llms.txt](https://wallitelli.gitbook.io/wallitelli-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wallitelli.gitbook.io/wallitelli-docs/wallitelli-intelligence-stack.md).

# Wallitelli Intelligence Stack

Wallitelli is not a trading tool, prediction engine, or analytics dashboard.&#x20;

It is a daily decision support layer designed to help participants understand their risk and exposure as onchain complexity grows.<br>

#### Core Intelligence Layers

* **Risk Detection** — Protocol risk, liquidation proximity, and structural exposure surfaced before they become realized losses
* **Exposure Monitoring** — Depeg risk, yield concentration, and cross-protocol exposure mapped daily — not after the event
* **Capital Erosion Prevention** — Silent portfolio degradation identified through behavioral pattern analysis. Awareness before attrition.
* **Portfolio Intelligence** — Assets, yield positions, liquidity exposure, and concentration — read as a coherent picture, not a list of numbers
* **Daily Intelligence Loop** — Consistent, habit-forming intelligence cycle. Reduces decision fatigue. Builds long-term capital discipline.
* **Privacy-First Design** — Wallet-address analysis only. No PII collected. No custodianship. No surveillance.

<br>


---

# 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://wallitelli.gitbook.io/wallitelli-docs/wallitelli-intelligence-stack.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.
