# About

## About Pulsar

Pulsar transforms raw Telegram and Dsicord conversations from crypto communities into structured intelligence that AI agents can reason with.

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### The Problem

AI agents need to understand what's happening in crypto communities, but the ened to integrate multiple APIs and high noise-to-signal ratio make this difficult.

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### Our Solution

We continuously monitor multiple Telegram and Discord channels, extract key developments, and provide structured summaries and semantic search via the Model Context Protocol (MCP).

**No Telegram API hassle. No embedding infrastructure. Just query and get insights.**

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### Who Uses Pulsar

**AI Agent Builders** - Integrate community intelligence into trading bots, research assistants, and portfolio managers

**Crypto Investors** - Stay updated on your communities through our Telegram bot

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### How It Works

1. **Continuous Monitoring** - We fetch messages from multiple communities 24/7
2. **Intelligent Summarization** - Generate structured 12-hour summaries (topics, keywords, sentiment)
3. **Semantic Search** - Query millions of messages using natural language
4. **MCP Integration** - straight forward tools your agent can use immediately

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### Why MCP?

The Model Context Protocol is becoming the standard for AI agent integrations. We chose it because:

* **Universal compatibility** - Works with any MCP-compatible agent
* **Simple integration** - 5 tools, clear documentation
* **No vendor lock-in** - Standard protocol, not proprietary API

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### Get Started

→ 5-Minute Quickstart - For AI agent builders\
→ Telegram Bot - For end users

**Free beta access for early builders**: <ole@askpulsar.com>

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### Contact

📧 <ole@askpulsar.com>\
💬 [@olenovyk](https://t.me/olenovyk) (Telegram/Twitter)\
🌐 [askpulsar.com](https://askpulsar.com)


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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://docs.askpulsar.com/about.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.