Blockchain DEX Screener Insights Agent
This workflow combines multiple API interfaces with advanced AI models to enable intelligent querying and real-time analysis of data from decentralized exchanges (DEX) on the blockchain. Users send query information via Telegram, and the system automatically parses and calls the relevant interfaces to provide the latest token information, trading pairs, and liquidity pool data. It supports contextual memory to enhance the user experience. This tool aims to help investors and analysts quickly grasp market dynamics, improve decision-making accuracy, and lower the technical usage barrier.
Tags
Workflow Name
Blockchain DEX Screener Insights Agent
Key Features and Highlights
This workflow integrates multiple API endpoints from DexScreener with OpenAI’s GPT-4o-mini model to enable intelligent querying and real-time insights of decentralized exchange (DEX) data on the blockchain. It can automatically identify user intents and invoke various data interfaces to retrieve the latest token information, trending tokens, trading pairs, order statuses, liquidity pools, and other multidimensional data. The results are promptly delivered to users via a Telegram bot, supporting contextual memory to enhance the interactive experience.
Core Problems Addressed
- Real-time acquisition and analysis of blockchain DEX market dynamics, helping users quickly grasp the latest token information and trading pair status
- Automated handling of complex API calls and data integration, lowering the technical barrier for users
- Rapid response to user queries through an intelligent conversational interface, enabling personalized and efficient information services
- Deep tracking of token order statuses and liquidity pools to improve the accuracy and timeliness of investment decisions
Application Scenarios
- Blockchain investors or traders who need to monitor DEX market token movements and trending tokens in real time
- Blockchain analysts conducting market trend analysis, token monitoring, and trading pair queries
- Developers or project teams requiring fast access to DEX-related data via APIs to support product functionalities
- Telegram community administrators or group managers providing automated DEX data query bot services
- Any users seeking convenient access to blockchain DEX data through a chat interface
Main Workflow Steps
- Message Trigger: User sends a query message via Telegram or chat interface
- Session Identification: Attach session ID to manage user session state
- Intelligent Parsing: Use OpenAI GPT-4o-mini model to interpret user query intent
- Data Invocation: Call 8 core DexScreener API tools as needed (latest token info, trending tokens, trading pair search, order queries, liquidity pools, etc.)
- Contextual Memory: Manage dialogue context with windowed buffer memory to enable continuous conversation experience
- Result Delivery: Send analysis results back to the user through the Telegram bot message
Involved Systems or Services
- DexScreener API: Multi-endpoint data query interface including token info, trending tokens, trading pairs, order data, and liquidity pools
- OpenAI GPT-4o-mini Model: Natural language understanding and generation for intelligent parsing and response
- Telegram Bot API: Message triggering and result pushing to realize user interaction
- n8n Automation Platform: Workflow orchestration and node management for overall automation execution
Target Users and Value Proposition
- Blockchain investors: Obtain real-time market hotspots to support investment decisions
- Blockchain analysts: Quickly access authoritative and multidimensional DEX data to enhance analysis efficiency
- Developers and product managers: Integrate DEX data capabilities rapidly without dealing with complex APIs
- Community operators and Telegram group admins: Improve user experience by providing intelligent data query services
- All users interested in blockchain market dynamics: Enjoy convenient, AI-driven, conversational data insights
By leveraging advanced AI technology and comprehensive blockchain API tools, this workflow effectively realizes intelligent querying and insight generation for blockchain DEX data, empowering users to capture market trends more accurately and efficiently.
Automated Image Analysis and Response via Telegram
This workflow automates the reception and analysis of images sent via Telegram, utilizing OpenAI's image recognition capabilities for intelligent interpretation. The content of the received images is analyzed in real-time, and the results are provided in text form back to the sender. This process is efficient and automated, ensuring that only messages containing images are processed. It is suitable for scenarios such as community management, customer support, and content review, significantly enhancing the efficiency and intelligence of information processing.
Style Copy with Imagen 3.0 (Style Transfer Image Generation Workflow)
This workflow automates the processing of user-uploaded reference images and target descriptions by combining multimodal AI technology to generate new images with a similar visual style. Users can submit images and text prompts, and the system will generate up to four stylistically consistent images, organizing them into a webpage for sharing or sending to an email. This simplifies the design process, lowers the technical barrier, and is suitable for brand designers, marketing teams, and art creators, enhancing the production efficiency of creative content.
🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram
This workflow combines the intelligent features of an AI chat agent, supporting long-term memory and note storage, with real-time interaction via Telegram. Users can enjoy a personalized and context-aware conversational experience, as the AI can remember user preferences and important information, enhancing the coherence of communication. Additionally, integration with Google Docs enables cloud storage, ensuring data security, making it suitable for various scenarios such as personalized smart assistants, remote work, and educational tutoring, significantly improving efficiency in both work and life.
Intelligent Virtual Assistant Angie: Multi-Channel Voice and Text Interaction Automation Workflow
This workflow primarily provides users with intelligent virtual assistant services. It receives voice and text messages in real-time through Telegram, supports voice-to-text conversion, and utilizes the GPT-4 model for conversation and information queries. It can automatically access Gmail, Google Calendar, and the Baserow database to quickly provide email summaries, schedule arrangements, and task information, ensuring coherence in conversations and personalized responses. Overall, it enhances the user's work efficiency in multi-channel information interactions.
🐋 DeepSeek V3 Chat & R1 Reasoning Quick Start
This workflow integrates the latest chat and reasoning models, supporting multiple invocation methods to achieve intelligent and continuous contextual dialogue processing. By flexibly configuring system messages and model switching, it enhances natural language understanding and reasoning capabilities, addressing the challenges of deep reasoning and context management faced by traditional chatbots. It is suitable for scenarios such as intelligent customer service, enterprise knowledge base Q&A, and research and development assistance, providing users with an efficient and accurate interactive experience.
FLUX-fill Standalone
This workflow is designed to automate image editing. Users can upload images and draw masks through a web editor. After entering text prompts, the system will call AI services for intelligent filling and restoration. The entire process automatically detects task status and quickly returns high-quality processed images, greatly simplifying the complexity of traditional image editing and improving efficiency. It is suitable for various scenarios such as e-commerce, graphic design, and content creation.
ERP AI Chatbot for Odoo Sales Module
This workflow combines the Odoo sales module with AI conversational technology to achieve automatic acquisition of sales opportunity data and intelligent interaction. Through the aggregation and analysis of sales data by the AI model, the sales team can quickly grasp key information, enhancing decision-making efficiency and customer communication experience. It supports scheduled data retrieval, generates intelligent summaries, and enables real-time chat interactions, helping sales personnel efficiently manage sales opportunities and improve customer service quality. It is suitable for various enterprises to enhance digital sales efficiency.
Intelligent Nutrition Component Analysis and Recording Assistant
This workflow receives users' dietary records via Telegram, including text and voice messages. It utilizes AI technology to intelligently analyze the nutritional components of the ingredients and automatically stores the structured data in Google Sheets. It addresses the cumbersome issues of traditional dietary recording, supporting health management, exercise nutrition tracking, and medical rehabilitation, providing users who are concerned about dietary health with a convenient and efficient tool for recording and analysis.