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

# Black Swan Agent

The Black Swan agent assess the probability of a Black Swan impacting the current cryptocurrency market.

## Key Features

**AI-Powered Risk Assessment**\
Uses AI to process aggregated data and generate sophisticated risk assessments

**Real-time Data Aggregation**\
Monitors and collects the latest analysis data from various services in real-time

**Historical Context**\
Incorporates recent historical Black Swan analyses into the AI prompt for temporal context

## Risk Score System

* **0-3**: Normal ecosystem operations
* **4-5**: Elevated attention without infrastructure impact
* **6-12**: Single major component disruption contained
* **12-25**: Multiple component failures or spreading disruption
* **25-40**: Widespread ecosystem segment failures with confirmed contagion
* **40-60**: Core ecosystem infrastructure breakdown in progress
* **60-100**: Ecosystem collapse threatening broader financial stability


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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://blackswanwtf.gitbook.io/docs/welcome/black-swan-agent.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.