# Welcome to Meetra AI API

<figure><img src="https://874606112-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FriVr0boqSNguAOEH6iJb%2Fuploads%2F87E84j4wCRJVa9xDWAO3%2Fimage.png?alt=media&#x26;token=1642631f-b3d8-4467-bf3f-84ff1329d03a" alt=""><figcaption></figcaption></figure>

The Meetra AI Conversation Intelligence API is a modular solution that provides a comprehensive analysis of human conversation audio. This analysis includes transcripts, group dynamics, topic-oriented dynamics and communication patterns throughout the conversation. The modular design allows developers to create complete products and solutions on top of the API. \
\
The infrastructure has been built together by the founders of [Timeqube](https://timeqube.com) and [UMCS University](https://analytics.umcs.pl/) in Poland.

## The Four Layers&#x20;

Meetra AI Operates in four distinct layers of data analysis

1. **Context Layer** - Transcripts, Summaries, Key Points, Questions&#x20;
2. **Group Dynamics Layer** - Overall Sentiment, Energy, Interactions, Balance
3. **Fluctuation Layer** - Energy, Sentiment, Interaction and individual emotion changes in time
4. **Topic Overlay** - Topics, Contributors, Sentiment, Energy and Interaction Patterns for discovered topics

## Further Reading

[meetra-ai-conversation-intelligence-api-building-blocks](https://docs.meetra.ai/meetra-ai-conversation-intelligence-api-building-blocks "mention")

[meetra-ai-conversation-intelligence-api-reference](https://docs.meetra.ai/meetra-ai-conversation-intelligence-api-reference "mention")

[built-with-meetra-ai](https://docs.meetra.ai/built-with-meetra-ai "mention")&#x20;

## Current Development Stage

Meetra AI is currently in the beta testing phase, with a [demo](https://app.gitbook.com/o/HN34IjUKiMJ1b8bfdQg2/s/riVr0boqSNguAOEH6iJb/) available for users to upload their meetings and view a sample report visualisation. We have opened the API for developers to tinker with different endpoints for free. You can apply for API access [here](https://0tc6yms7ze7.typeform.com/to/ijR0WJsK?typeform-source=meetra.ai).&#x20;


---

# 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://docs.meetra.ai/welcome-to-meetra-ai-api.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.