Workflow Templates

Description This automation template is designed for content creators, digital marketers, and social media managers looking to simplify their video posting workflow. It automates the process of generating engaging video descriptions and uploading content to both Instagram and TikTok, making your social media management more efficient and error-free. Who Is This For? Content Creators & Influencers:** Streamline your video uploads and focus more on creating content. Digital Marketers:** Ensure consistent posting across multiple platforms with minimal manual intervention. Social Media Managers:** Automate repetitive tasks and maintain a steady online presence. What Problem Does This Workflow Solve? Manually creating descriptions and uploading videos to different platforms can be time-consuming and error-prone. This workflow addresses these challenges by: Automating Video Uploads:** Monitors a designated Google Drive folder for new videos. Generating Descriptions:** Uses OpenAI to transcribe video audio and generate engaging, customized social media descriptions. Ensuring Multi-Platform Consistency:** Simultaneously posts your video with the generated description to Instagram and TikTok. Error Notifications:** Optional Telegram integration sends alerts in case of issues, ensuring smooth operations. How It Works Video Upload: Place your video in the designated Google Drive folder. Description Generation: The automation triggers OpenAI to transcribe your video’s audio and generate a captivating description. Content Distribution: Automatically uploads the video and description to both Instagram and TikTok. Error Handling: Sends Telegram notifications if any issues arise during the process. Setup Generate an API token at upload-post.com and configure it in both the Upload to TikTok and Upload to Instagram nodes. Google Cloud Project: Create a project in Google Cloud Platform, enable the Google Drive API, and generate the necessary OAuth credentials to connect to your Google Drive account. Set up your Google Drive folder in the Google Drive Trigger node. Customize the OpenAI prompt in the Generate Social Description node to match your brand’s tone. (Optional) Configure Telegram credentials for error notifications. Requirements Accounts:** upload-post.com, Google Drive, and (optionally) Telegram. API Keys & Credentials:** Upload-post.com API token, OpenAI API key, and (optional) Telegram bot token. Google Cloud:** A project with the Google Drive API enabled and valid OAuth credentials. Use this template to enhance your productivity, maintain consistency across your social media channels, and engage your audience with high-quality video content.

This n8n workflow automates YouTube video metadata generation using AI. It extracts video transcripts, analyzes content, and produces optimized titles, descriptions, tags, hashtags, and call-to-action elements. Additionally, the workflow integrates affiliate and promotional links to enhance overall video performance. Key Features Automated Metadata Generation Utilizes an AI agent integrated with OpenAI GPT-4 to generate engaging metadata based on the provided video transcript. SEO and Engagement Optimization Creates keyword-rich, well-structured content that boosts search engine visibility and audience engagement. Affiliate and Promotional Integration Retrieves pre-set promotional and affiliate links using a Google Docs integration. Direct YouTube Update Automatically updates video details on YouTube via the YouTube API. Customization Allows you to modify the AI prompt to tailor metadata for your specific niche. Workflow Breakdown User Submission Users supply the YouTube video link, transcript, and optionally, focus keywords. Video ID Extraction The workflow converts the YouTube URL into a video ID to streamline automation. Link Retrieval Affiliate and course links are fetched from a designated Google Docs file. AI-Powered Metadata Generation The AI agent generates the video title, description, tags, hashtags, and call-to-action elements. Metadata Formatting and Update The generated metadata is structured and directly updated on YouTube. Confirmation A success message is displayed upon completion of the update process. Setup and Configuration Deploying the Workflow Deploy the workflow in n8n and ensure all integrations are properly set up. Configuring Integrations Google Docs:** Configure credentials to retrieve affiliate and promotional links. OpenAI (GPT-4):** Set up credentials for AI-powered metadata generation. YouTube API:** Enter your API credentials to enable automatic video updates. User Input Requirements Provide a valid YouTube video link and its corresponding transcript. Optionally, include focus keywords to further enhance metadata accuracy. Ideal For YouTube Content Creators:** Automate video descriptions and boost SEO. Digital Marketers:** Enhance content for improved search rankings and audience engagement. Affiliate Marketers:** Simplify the insertion of promotional and affiliate links. AI & Automation Enthusiasts:** Explore the integration of AI into automated workflows. Additional Resources For further guidance, refer to the tutorial video on this workflow. More courses and resources are available on the SyncBricks website. For support or inquiries, contact Amjid Ali at info@syncbricks.com. You can also support this work via PayPal donations and subscribe for additional AI and automation workflows. Watch the Tutorial:** YouTube Video on This Workflow More Courses & Resources:** SyncBricks LMS Full Course on ERPNext & AI Automation Connect:** Email: info@syncbricks.com Website: SyncBricks YouTube: SyncBricks Channel LinkedIn: Amjid Ali Support & Subscribe:** Donate via PayPal Subscribe for More AI & Automation Workflows

How it works • Automatically detects when new pages are created in your Notion workspace • Uses AI to generate contextually relevant icons based on page titles for perfect visual representation • Fetches random high-quality cover images from Unsplash to add visual appeal to each page • Seamlessly integrates with your existing Notion workflow without manual intervention Set up steps • Connect your Notion workspace using API credentials - takes about 5 minutes to configure • Set up AI service integration for intelligent icon generation based on page titles • Configure Unsplash API access for random cover image fetching • Configure webhook triggers to monitor new page creation events • Test the workflow with a sample page to ensure proper functionality • Keep detailed setup instructions and troubleshooting tips in the workflow notes for future reference This template helps streamline your Notion workspace by automatically beautifying new pages with AI-generated icons and stunning Unsplash covers, saving you time while maintaining a visually appealing and professional appearance across your knowledge base.

Unlock AI-Driven Research with Jina AI (No API Key Needed!) Following the success of Open Deep Research 1.0, we are excited to introduce an improved and fully free version: AI-Powered Research with Jina AI Deep Search. This workflow leverages Jina AI’s Deep Search API, a free and powerful AI research tool that requires no API key. It automates querying, analyzing, and formatting research reports, making AI-driven research accessible to everyone. Key Features No API Keys Required** - Start researching instantly without setup hassle. Automated Deep Search* - Uses Jina AI to fetch *relevant and high-quality information**. Structured AI Reports** - Generates clear, well-formatted research documents in markdown. Flexible and Customizable* - Modify the workflow to fit *your specific research needs**. Ideal for Researchers, Writers & Students** - Speed up your research workflow. Use Cases This workflow is particularly useful for: Researchers** - Quickly gather and summarize academic papers, online sources, and deep web content. Writers & Journalists** - Automate background research for articles, essays, and investigative reports. Students & Educators** - Generate structured reports for assignments, literature reviews, or presentations. Content Creators** - Find reliable sources for blog posts, videos, or social media content. Data Analysts** - Retrieve contextual insights from various online sources for reports and analysis. How It Works The user submits a research query via chat. The workflow sends the query to Jina AI’s Deep Search API. The AI processes and generates a well-structured research report. A code node formats the response into clean markdown. The final output is a structured, easy-to-read AI-generated report. Pre-Conditions & Requirements An n8n instance (self-hosted or cloud). No API keys needed** – Jina AI Deep Search is completely free. Basic knowledge of n8n workflow automation is recommended for customization. Customization Options This workflow is fully modular, allowing users to: Modify the query prompt to refine the research focus. Adjust the report formatting to match personal or professional needs. Expand the workflow by adding additional AI tools or data sources. Integrate it with other workflows in n8n to enhance automation. Users are free to connect it with other workflows, add custom nodes, or tweak existing configurations. Getting Started Setup Time: Less than 5 minutes Import the workflow into n8n. Run the workflow and input a research topic. Receive a fully formatted AI-generated research report. Try It Now! Start your AI-powered research with Jina AI Deep Search today! Get the workflow on n8n.io

Who is this for? This workflow template is designed for AI enthusiasts, developers, and privacy-conscious users who want to leverage the power of local large language models (LLMs) without sending data to external services. It's particularly valuable for those running Ollama locally who want intelligent routing between different specialized models. What problem is this workflow solving? When working with multiple local LLMs, each with different strengths and capabilities, it can be challenging to manually select the right model for each specific task. This workflow automatically analyzes user prompts and routes them to the most appropriate specialized Ollama model, ensuring optimal performance without requiring technical knowledge from the end user. What this workflow does This intelligent router: Analyzes incoming user prompts to determine the nature of the request Automatically selects the optimal Ollama model from your local collection based on task requirements Routes requests between specialized models for different tasks: Text-only models (qwq, llama3.2, phi4) for various reasoning and conversation tasks Code-specific models (qwen2.5-coder) for programming assistance Vision-capable models (granite3.2-vision, llama3.2-vision) for image analysis Maintains conversation memory for consistent interactions Processes everything locally for complete privacy and data security Setup Ensure you have Ollama installed and running locally Pull the required models mentioned in the workflow using Ollama CLI (e.g., ollama pull phi4) Configure the Ollama API credentials in n8n (default: http://127.0.0.1:11434) Activate the workflow and start interacting through the chat interface How to customize this workflow to your needs Add or remove models from the router's decision framework based on your specific Ollama collection Adjust the system prompts in the LLM Router to prioritize different model selection criteria Modify the decision tree logic to better suit your specific use cases Add additional preprocessing steps for specialized inputs This workflow demonstrates how n8n can be used to create sophisticated AI orchestration systems that respect user privacy by keeping everything local while still providing intelligent model selection capabilities.

Workflow Documentation: Auto-Retry Engine – Error Recovery Workflow Detailed Description The Auto-Retry Engine: Error Recovery Workflow is designed to automate the process of identifying and retrying failed executions in n8n workflows. By leveraging scheduled triggers, API integrations, and conditional logic, this workflow ensures that any failed executions are automatically retried on an hourly basis. This reduces manual intervention, improves system reliability, and ensures smoother workflow operations. Who is this for? This workflow is ideal for: Automation Engineers**: Managing and maintaining workflows with minimal manual intervention. DevOps Teams**: Ensuring high availability and reliability of automated processes. IT Administrators**: Reducing downtime and improving system performance by automating error recovery. What problem does this workflow solve? Manual Error Handling**: Eliminates the need for manual monitoring and retrying of failed executions. Improved Reliability**: Automatically retries failed executions, reducing downtime and improving workflow success rates. Time Efficiency**: Saves time by automating repetitive error recovery tasks, allowing teams to focus on higher-priority work. What this workflow does This workflow automates the following steps: Scheduled Monitoring: Checks for failed executions hourly using a schedule trigger. Error Filtering: Identifies executions that have failed and filters out those that have already been successfully retried. Authentication: Logs into the n8n instance using API credentials to retrieve session details. Automatic Retry: Retries the failed executions using the n8n API. Batch Processing: Processes multiple failed executions in batches to avoid overloading the system. Setup Prerequisites To use this workflow, you’ll need: n8n Account**: To create and run the workflow. n8n API Credentials**: For logging into the n8n instance and retrying executions. HTTP Request Node**: Configured to interact with the n8n API. Schedule Trigger**: Set to run the workflow hourly. Setup Process Configure Schedule Trigger Set the trigger to run hourly to check for failed executions. Set Login Credentials Add your n8n instance URL, username, and password in the Set Node. Integrate n8n API Use the HTTP Request node to log into the n8n instance and retrieve session details. Retry Failed Executions Configure the HTTP Request node to retry failed executions using the session details. Batch Processing Use the Split in Batches node to process multiple failed executions in batches. How to customize this workflow Tailor the workflow to fit your specific needs: Adjust Schedule Frequency** Modify the schedule trigger to run at different intervals (e.g., every 30 minutes). Add Notifications** Integrate email or Slack notifications to alert teams about failed retries. Refine Error Filtering** Customize the filtering logic to exclude specific types of failed executions. Scale Batch Size** Adjust the batch size in the Split in Batches node to optimize performance. Conclusion The Auto-Retry Engine: Error Recovery Workflow is a powerful tool for automating error recovery in n8n workflows. By reducing manual intervention and ensuring failed executions are retried automatically, this workflow enhances system reliability and operational efficiency. Whether you're managing a few workflows or a complex automation ecosystem, this workflow ensures your processes run smoothly and consistently.

Instantly access real-time decentralized exchange (DEX) insights directly in Telegram! This workflow integrates the DexScreener API with GPT-4o-powered AI and Telegram, allowing users to fetch the latest blockchain token analytics, liquidity pools, and trending tokens effortlessly. Ideal for crypto traders, DeFi analysts, and investors who need actionable market data at their fingertips. How It Works A Telegram bot listens for user queries about tokens or trading pairs. The workflow interacts with the DexScreener API (no API key required) to fetch real-time data, including: Token fundamentals (profiles, images, descriptions, and links) Trending and boosted tokens (hyped projects, potential market movers) Trading pair analytics (liquidity, price action, volumes, volatility) Order and payment activity (transaction insights, investor movements) Liquidity pool depth (market stability, capital flows) Multi-chain pair comparisons (performance tracking across networks) An AI-powered language model (GPT-4o-mini) enhances responses for better insights. The workflow logs session data to improve user interaction tracking. The requested DEX insights are sent back via Telegram in an easy-to-read format. What You Can Do with This Agent This AI-driven Telegram bot enables you to: ✅ Track trending and boosted tokens before they gain mainstream traction. ✅ Monitor real-time liquidity pools to assess token stability. ✅ Analyze active trading pairs across different blockchains. ✅ Identify transaction trends by checking paid orders for tokens. ✅ Compare market activity with detailed trading pair analysis. ✅ Receive instant insights with AI-enhanced responses for deeper understanding. Set Up Steps Create a Telegram Bot Use @BotFather on Telegram to create a bot and obtain an API token. Configure Telegram API Credentials in n8n Add your Telegram bot token under Telegram API credentials. Deploy and Test Send a query (e.g., "SOL/USDC") to your Telegram bot and receive real-time insights instantly! 🚀 Unlock powerful, real-time DEX insights directly in Telegram—no API key required! 📺 Setup Video Tutorial Watch the full setup guide on YouTube:

Find OAuth URIs with AI Llama Overview: The AI agent identifies: Authorization URI Token URI Audience Methodology: Confidence scoring is utilized to assess the trustworthiness of extracted data: Score Range: 0 < x ≤ 1 Score Granularity: 0.01 increments Model Details: Leveraging the Wayfarer Large 70b Llama 3.3 model. How it works: This template is designed to assist users in obtaining OAuth2 settings using AI-powered insights. It is ideal for developers, IT professionals, or anyone working with APIs that require OAuth2 authentication. By leveraging the AI agent, users can simplify the process of extracting and validating key details such as the authorization_url, token_url, and audience. Set up instructions: 1. Configuration Nodes Structured Output Node**: Parses the AI model's output using a predefined JSON schema. This ensures the data is structured for downstream processing. Code Node**: If the AI model’s output does not match the required format, use the Code node to re-arrange and transform the data. Example code snippets are provided below for common scenarios. 2. AI Model Prompt The prompt for the AI model includes: A detailed structure and objectives of the query. Flexibility for the model to improvise when accurate results cannot be determined. 3. Confidence Scoring The AI model assigns a confidence score (0 < x ≤ 1) to indicate the reliability of the extracted data. Scores are provided in increments of 0.01 for granularity. Adaptability Customize this template: Update the AI model prompt with details specific to your API or OAuth2 setup. Adjust the JSON schema in the Structured Output node to match the data format. Modify the Code logic to suit the application's requirements.

Description This workflow empowers you to effortlessly get answers to your n8n platform questions through an AI-powered assistant. Simply send your query, and the assistant will search documentation, forum posts, and example workflows to provide comprehensive, accurate responses tailored to your specific needs. > Note: This workflow uses community nodes (n8n-nodes-mcp.mcpClientTool) and will only work on self-hosted n8n instances. You'll need to install the required community nodes before importing this workflow. ! What does this workflow do? This workflow streamlines the information retrieval process by automatically researching n8n platform documentation, community forums, and example workflows, providing you with relevant answers to your questions. Who is this for? New n8n Users**: Quickly get answers to basic platform questions and learn how to use n8n effectively Experienced Developers**: Find solutions to specific technical issues or discover advanced workflows Teams**: Boost productivity by automating the research process for n8n platform questions Anyone** looking to leverage AI for efficient and accurate n8n platform knowledge retrieval Benefits Effortless Research**: Automate the research process across n8n documentation, forum posts, and example workflows AI-Powered Intelligence**: Leverage the power of LLMs to understand context and generate helpful responses Increased Efficiency**: Save time and resources by automating the research process Quick Solutions**: Get immediate answers to your n8n platform questions Enhanced Learning**: Discover new workflows, features, and best practices to improve your n8n experience How It Works Receive Request: The workflow starts when a chat message is received containing your n8n-related question AI Processing: The AI agent powered by OpenAI GPT-4o analyzes your question Research and Information Gathering: The system searches across multiple sources: Official n8n documentation for general knowledge and how-to guides Community forums for bug reports and specific issues Example workflow repository for relevant implementations Response Generation: The AI agent compiles the research and generates a clear, comprehensive answer Output: The workflow provides you with the relevant information and step-by-step guidance when applicable n8n Nodes Used When chat message received (Chat Trigger) OpenAI Chat Model (GPT-4o mini) N8N AI Agent n8n-assistant tools (MCP Client Tool - Community Node) n8n-assistant execute (MCP Client Tool - Community Node) Prerequisites Self-hosted n8n instance OpenAI API credentials MCP client community node installed MCP server configured to search n8n resources Setup Import the workflow JSON into your n8n instance Configure the OpenAI credentials Configure your MCP client API credentials In the n8n-assistant execute node, ensure the parameter is set to "specific" (corrected from "spesific") Test the workflow by sending a message with an n8n-related question MCP Server Connection To connect to the MCP server that powers this assistant's research capabilities, you need to use the following URL: https://smithery.ai/server/@onurpolat05/n8n-assistant This MCP server is specifically designed to search across three types of n8n resources: Official documentation for general platform information and workflow creation guidance Community forums for bug-related issues and troubleshooting Example workflow repositories for reference implementations Configure this URL in your MCP client credentials to enable the assistant to retrieve relevant information based on user queries. This workflow combines the convenience of chat with the power of AI to provide a seamless n8n platform research experience. Start getting instant answers to your n8n questions today!

WebSecScan: AI-Powered Website Security Auditor This n8n workflow provides comprehensive website security analysis by leveraging OpenAI's models to detect vulnerabilities, configuration issues, and security misconfigurations. The workflow generates a professional HTML security report delivered directly via Gmail. Key Features Dual-Layer Security Analysis:** Performs parallel security audits using specialized OpenAI agents: Header Configuration Audit: Analyzes HTTP headers, CORS policies, CSP implementation, and cookie security Vulnerability Assessment: Identifies XSS vectors, information disclosure, and client-side weaknesses Detailed Security Grading:** Automatically calculates a security grade (A+ to F) based on findings severity and quantity Professional Report Generation:** Creates a comprehensive HTML report with: Security grade visualization Color-coded vulnerability categories Detailed recommendations with example configuration fixes Header presence/absence indicators Implementation guidance for remediation Non-Invasive Testing:** Performs analysis without active scanning or exploitation attempts Technical Implementation Multi-Agent Architecture:** Utilizes two specialized OpenAI agents with custom prompts tailored for security analysis Advanced Header Analysis:** Detects presence and proper implementation of critical security headers: Content-Security-Policy Strict-Transport-Security X-Content-Type-Options X-Frame-Options Referrer-Policy Permissions-Policy Intelligent Issue Detection:** Uses JavaScript processing to analyze OpenAI outputs and count critical/warning issues Responsive HTML Report:** Dynamically generates a mobile-friendly report with detailed findings and recommendations Setup Requirements 1. OpenAI API Configuration Create an OpenAI API key at platform.openai.com In n8n, go to Settings → Credentials → New → OpenAI API Enter your API key and save 2. Gmail Integration Navigate to Settings → Credentials → New → Gmail OAuth2 API Complete the OAuth authentication flow Configure recipient email in the "Send Security Report" node 3. Workflow Customization (Optional) Modify the form title/description in the Landing Page node Upgrade from gpt-4o-mini to gpt-4o for more comprehensive analysis Add additional recipients to the email report Usage Instructions Activate the workflow and access the form via the generated URL Enter any website URL to analyze (including the http:// or https:// prefix) Receive a detailed security report via email within minutes Share findings with your development team to implement fixes This workflow represents a non-invasive security assessment tool. For production environments, complement with professional penetration testing services.

Analyze exchange data, market indexes, and community sentiment from CoinMarketCap—powered by AI. This sub-agent provides access to exchange listings, token holdings, metadata, and high-level metrics like the CMC 100 Index and the Fear & Greed Index. It’s designed for use within your larger CoinMarketCap AI Analyst system or as a standalone workflow. This agent can be triggered by a supervisor or manually used with message and sessionId inputs. Supported Tools (5 Total) 🔍 Exchange Map Get CoinMarketCap IDs, names, and slugs for exchanges (used as lookup before deeper queries). 🧾 Exchange Info Metadata including launch date, social links, country, and operational status. 💰 Exchange Assets Token balances, wallet addresses, and total USD value held by a specific exchange. 📈 CoinMarketCap 100 Index Constituents and weights of the CMC 100 Index, updated live. 😱 Fear & Greed Index Market sentiment score updated daily, ranging from Extreme Fear to Extreme Greed. What You Can Do with This Agent 🔹 Map exchanges to retrieve their ID and slug 🔹 Analyze exchange holdings by token and blockchain 🔹 Pull metadata for major CEXs like Binance or Coinbase 🔹 Compare global sentiment using the Fear & Greed Index 🔹 Access index data to understand CMC’s top 100 crypto asset breakdown Example Queries You Can Use ✅ "What is the latest Fear and Greed Index reading?" ✅ "Get a list of all exchanges on CoinMarketCap." ✅ "What tokens are held by Binance?" ✅ "Retrieve metadata for Coinbase." ✅ "Show me the top assets in the CMC 100 Index." Agent Architecture AI Brain**: GPT-4o-mini Memory**: Window buffer memory using sessionId Tools**: 5 API-connected nodes Trigger**: External input via message and sessionId Setup Instructions Get a CoinMarketCap API Key Apply here: https://coinmarketcap.com/api/ Configure n8n Credentials Use HTTP Header Auth to store your CoinMarketCap API key. Optional: Trigger from a Supervisor Connect to a parent agent using Execute Workflow with message and sessionId inputs. Test Sample Prompts “Get all exchanges”, “Fetch CMC index”, “Show Binance token holdings” Sticky Notes Included Exchange & Community Guide – Explains agent purpose and component connections Usage & Examples – Walkthrough for sample use cases Error Handling & Licensing – Includes API error code reference and licensing details ✅ Final Notes This agent is part of a broader CoinMarketCap AI Analyst System. Visit my Creator profile to download all available sub-agents and supervisor flows. Understand exchange behavior and community sentiment—automated with AI and CoinMarketCap.

Meet your AI-powered crypto data analyst—fully integrated with CoinMarketCap APIs. This workflow acts as the supervisor agent for a multi-agent architecture built in n8n, connecting three powerful sub-agents to extract real-time insights from centralized and decentralized markets. It’s the ultimate tool for crypto traders, analysts, developers, and researchers who need strategic multi-source intelligence—all through Telegram. This workflow requires 3 sub-agent templates to function correctly. See below. 🔌 Required Sub-Workflows (Install First) CoinMarketCap Crypto Agent Tool → Token prices, metadata, conversions, listings CoinMarketCap Exchange & Community Agent Tool → Exchange info, token holdings, Fear & Greed index CoinMarketCap DEXScan Agent Tool → DEX trading pairs, liquidity, OHLCV data Download all from my Creator Profile: https://n8n.io/creators/don-the-gem-dealer/ What Makes This Workflow Special? This is not just another API wrapper—it’s an intelligent routing agent powered by GPT-4o-mini, capable of: Understanding complex user queries Choosing the appropriate tool workflow Structuring the API request Executing sub-workflows Formatting the output Returning insights via Telegram It connects three domains of market data: Cryptocurrencies (CEX)** Exchanges & Sentiment** DEX trading data** 🔍 What You Can Do 💰 Token Intelligence Get token metadata, price, volume, supply Compare rankings and conversions 🏦 Exchange Insights View assets held by exchanges Track the CMC 100 Index and Fear & Greed Score 🌐 DEX Market Analysis Analyze pair quotes, historical OHLCV, live trades Discover the top DEXs by volume across blockchains ✅ Example Questions to Ask “What’s the market cap of Ethereum today?” “Show liquidity and volume for SOL/USDT on Solana” “Get token holdings for Binance” “Compare BTC price on Uniswap vs Binance” “What’s the Fear & Greed index right now?” 🛠️ Setup Instructions Create Telegram Bot Use @BotFather to get your bot token. Get CoinMarketCap API Key Apply here: https://coinmarketcap.com/api/ Install Sub-Agent Templates Required: Crypto Agent Tool Exchange & Community Tool DEXScan Tool Configure Credentials in n8n Add both Telegram and CoinMarketCap keys as HTTP Header Auth. Deploy & Test Ask your Telegram bot: “Top 10 tokens by 24h volume” or “Convert 5 ETH to USD” Workflow Architecture AI Brain**: GPT-4o-mini Memory**: Windowed buffer memory via sessionId Tool Agents**: toolWorkflow() → routes requests to the appropriate sub-agent Executes real-time API queries and returns structured output Included Sticky Notes System Overview** Error Handling Guide (200, 400, 401, 429, 500)** Step-by-Step Usage Instructions** Prompt Examples + API Docs** Legal & Licensing Notes** Your crypto insights—smarter, faster, and all in one Telegram message.