Blockchain DEX Screener Insights Agent

Name: Blockchain DEX Screener Insights Agent
Rating: 5 (5 reviews)
Author: Free N8N

Advanced

25 nodes connected

detail.loadingPreview

Free N8N Temples

142 views

0 downloads

AI & Machine LearningAIBlockchainDEXDexScreenerLangchainTelegram

Leverages Langchain and DexScreener API to provide real-time blockchain DEX insights via Telegram.

About This Workflow

This n8n workflow acts as a sophisticated agent that interacts with users via Telegram. It utilizes the Langchain framework, specifically the OpenAI Chat Model and a suite of DexScreener API tools, to fetch and analyze real-time data from decentralized exchanges. The agent can respond to user queries by accessing various DexScreener endpoints to provide insights on token profiles, boosted tokens, trading pairs, orders, and liquidity pools. The workflow is triggered by incoming Telegram messages.

Key Features

Telegram Integration: Receives user queries and sends insights directly via Telegram.
Langchain Agent: Employs a Langchain agent with access to multiple tools for intelligent data retrieval and analysis.
OpenAI Chat Model: Utilizes OpenAI's GPT models (specifically gpt-4o-mini) for natural language understanding and response generation.
DexScreener API Tools: Integrates with various DexScreener API endpoints to access comprehensive DEX data, including:
- Latest Token Profiles
- Latest Boosted Tokens
- Top Token Boosts
- Search Trading Pairs
- Check Orders Paid for Token
- Get Pairs by Chain and Pair Address
- Token Pools
- Pairs by Token Address
Contextual Memory: Implements a window buffer memory to maintain conversation context.
Structured Output: Generates structured insights based on the fetched data.

How To Use

Trigger: The workflow is initiated when a chat message is received via the Telegram Trigger node or the When chat message received node.
Session Management: The Adds SessionId node captures the chat ID to maintain context.
Agent Processing: The Blockchain DEX Screener Insights Agent node receives the user's message and uses the OpenAI Chat Model and Window Buffer Memory to understand the query and select the appropriate DexScreener tool(s).
Tool Execution: The agent dynamically calls one or more of the DexScreener ToolHttpRequest nodes (e.g., DexScreener Latest Token Profiles, DexScreener Search Pairs, etc.) based on the user's request.
Response Generation: The agent processes the data returned from the tools and formulates an insightful response.
Telegram Output: The final response is sent back to the user via the Telegram output node.

Apps Used

Blockchain

DEX

DexScreener

Langchain

Workflow JSON

{
  "id": "f015b391-5b0d-4f5b-a96d-b03419d50498",
  "name": "Blockchain DEX Screener Insights Agent",
  "nodes": 25,
  "category": "AI & Machine Learning",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.