# AI Feed

Oracela Purse delivers processed intelligence through advanced machine learning rather than raw data streams.<br>

* Predictive Modeling: Combines time-series analysis with deep learning to calculate event probabilities as precise percentages.<br>
* Personalization Engine: Analyzes user history and preferences to prioritize market insights with the highest relevance and correlation.


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# 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://oracela-purse.gitbook.io/oracela_purse-docs/key-features/publish-your-docs.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.