Agents & Automations

Automatically create Google Calendar events from custom webhooks using ChatGPT. Streamline scheduling by responding to webhook triggers with AI-generated event details.

This template exports daily sales from Loyverse and saves them in a Google Sheets spreadsheet. At the end of every month, ChatGPT will read the accumulated data from the spreadsheet and give you suggestions to improve your business performance. This template was created by a 3rd party and not tested by Make. For any inquiries about the template, please reach out to the template creator: [email protected]. More information about the template's configuration can be found here: **https://loyverse.town/topic/6303-loyerse-sales-analysis-by-makechatgptopenai/**.

Workflow Description This workflow helps content creators automatically repurpose YouTube videos into SEO-friendly blog posts. It extracts the video transcript, uses AI to generate a full blog post with a relevant image, and sends the complete package via email, ready for publication. Prerequisites/Requirements This workflow relies on external AI services. You will need: - OpenAI Account: Used for generating the blog post text (specifically mentioned using GPT-4o in the workflow notes).Credentials: Requires an API key from OpenAI.Cost: OpenAI API usage is typically paid based on the amount of text processed (tokens). Check OpenAI's current pricing.Setup: Sign up at OpenAI and obtain your API key. - Dumpling AI Account: Used for retrieving YouTube video transcript and generating the blog post image.Credentials: Requires an API key from Dumpling AI.Cost: Dumpling AI offers 250 free credits to start with and different plans for different levels of usage. Check the pricing page for more details.Setup: Sign up at Dumpling AI and obtain your API key/credentials. - Email Account: Credentials for the email service (e.g., Gmail) used to send the final result. How it works 1. Input Video Details: You provide the YouTube video URL and your email address. 2. Get Transcript: The workflow fetches the transcript of the specified YouTube video. 3. Generate Content: An AI model crafts a blog post (title, description, body) based on the transcript. 4. Create Image: Another AI model generates a suitable image for the blog post. 5. Format & Package: The blog post is converted to HTML, and the image is prepared for sending. 6. Email Result: The final HTML blog post and image are emailed to you. Set up steps - Configure Variables: Enter the specific YouTube video URL and the recipient email address in the "Set Variables" node. - Connect Credentials: Add your credentials for the services used (e.g., OpenAI for text generation, Dumpling AI for YouTube Transcript and AI image generation service). - Connect Email Credentials: Authenticate your Gmail account (or chosen email provider) to allow the workflow to send the email. Take it to the next level - Direct Publishing: Instead of emailing the result, connect directly to your CMS (like WordPress, Ghost, Webflow) to automatically create a draft or publish the blog post. - AI Agent Integration: Replace the single "Generate Blog Post" step with an AI Agent for more sophisticated content generation, potentially researching topics or structuring the post section by section based on the transcript. - Social Media Snippets: Add steps to generate companion social media posts (e.g., for Twitter, LinkedIn) summarizing the blog post. - Batch Processing: Modify the trigger to read multiple YouTube URLs from a spreadsheet or database to convert videos in bulk. - Enhanced SEO: Refine the AI prompts to specifically target keywords or incorporate SEO best practices more deeply into the generated content. - Multiple Image Options: Generate several image variations and include them in the email or draft post for selection.

This workflow uses OpenAI Assistant to compose draft replies for labeled email messages. It automatically connects the drafts to Gmail threads. 💡 You can add a knowledge base to your OpenAI Assistant and make your reply drafts very customized (e.g., compose a response with product information in response to an inquiry from a customer). 🎬 See this workflow in action in my YouTube video about automating Gmail. How it works? The workflow is triggered at regular intervals (default: every 1 minute – you can change this value) to check for messages with a specific label (e.g., "AI"). The content of the retrieved email message is then forwarded to the OpenAI Assistant node, and a reply draft is generated. Next, the response from the Assistant is converted to HTML, and a raw message in RFC standard is composed. 💡 You can learn more about composing drafts with the Gmail API in the official Google documentation. The raw email message (reply draft) is encoded and attached to the original thread ID. Finally, the trigger label (in this case: "AI") is removed to prevent the workflow from looping. Set up steps 1. Set credentials for Gmail and OpenAI. 2. Add a new label in the Gmail account for messages that should be handled by the workflow (e.g., name it "AI"). 3. Select this label in the first and last Gmail nodes in the workflow. 4. Create and configure your OpenAI Assistant. Select your assistant in the "OpenAI Assistant" node. 5. Optionally: change the trigger interval (by default, the interval is 1 minute). If you like this workflow, please subscribe to my YouTube channel and/or my newsletter.

This workflow automates the process of summarizing or transcribing a WordPress article, converting the text into speech using Eleven Labs API, and uploading the resulting MP3 file back to WordPress. How It WorksTrigger – The workflow starts manually when the user clicks “Test Workflow”. Retrieve Article – It fetches a WordPress article based on a given post ID. Summarize or Transcribe – An LLM (GPT-4o-mini) generates either: • A summary of the article, or • A full transcription, depending on the chosen prompt. Generate Speech – The processed text (summary or transcription) is converted into an MP3 audio file using Eleven Labs API. Upload MP3 to WordPress – The generated MP3 file is uploaded to WordPress. Update WordPress Post – The article is updated with an embedded audio player, allowing users to listen to the summary or transcription. Set Up Steps 1. WordPress API Credentials • Configure your WordPress API credentials in n8n. 2. Eleven Labs API Key • Obtain an API Key from Eleven Labs and configure it in n8n. 3. Choose Between Summary or Transcription • Modify the AI prompt to either generate a summary or keep the full transcription. 4. Test the Workflow • Run the workflow and ensure the MP3 file is correctly generated and uploaded. Customization Options • Modify the AI prompt to switch between a summary and a transcription. • Change the voice model in Eleven Labs for different speech styles. • Adjust output format to higher/lower quality MP3. This automation improves content accessibility and engagement by allowing users to listen to a summarized or full version of the article.

Video Guide I prepared a detailed guide that showed the whole process of building a resume analyzer. Who is this for? This workflow is ideal for developers, data analysts, and business owners who want to enable conversational interactions with their database. It’s particularly useful for cases where users need to extract, analyze, or aggregate data without writing SQL queries manually. What problem does this workflow solve? Accessing and analyzing database data often requires SQL expertise or dedicated reports, which can be time-consuming. This workflow empowers users to interact with a database conversationally through an AI-powered agent. It dynamically generates SQL queries based on user requests, streamlining data retrieval and analysis. What this workflow does This workflow integrates OpenAI with a Supabase database, enabling users to interact with their data via an AI agent. The agent can: - Retrieve records from the database. - Extract and analyze JSON data stored in tables. - Provide summaries, aggregations, or specific data points based on user queries. Dynamic SQL Querying: The agent uses user prompts to create and execute SQL queries on the database. Understand JSON Structure: The workflow identifies JSON schema from sample records, enabling the agent to parse and analyze JSON fields effectively. Database Schema Exploration: It provides the agent with tools to retrieve table structures, column details, and relationships for precise query generation. SetupPreparation 1. Create Accounts: - N8N: For workflow automation. - Supabase: For database hosting and management. - OpenAI: For building the conversational AI agent. 2. Configure Database Connection: - Set up a PostgreSQL database in Supabase. - Use appropriate credentials (username, password, host, and database name) in your workflow. 3. N8N Workflow - AI agent with tools: - Code Tool: Execute SQL queries based on user input. - Database Schema Tool: Retrieve a list of all tables in the database. - Use a predefined SQL query to fetch table definitions, including column names, types, and references. - Table Definition: Retrieve a list of columns with types for one table.

Every time a new mp3 audio file is added to Google Drive, Make will automatically transcribe it with Google Cloud Speech and save the text to a Google Docs document.

Develop a dynamic brand strategy with the help of Anthropic Claude’s AI analysis, integrated with Notion’s organizational tools. This setup enables you to map out and adjust your strategy with precision and ease.

Create a Branded AI Website Chatbot Engage website visitors with an intelligent chat widget powered by OpenAI. This template includes: 💬 Natural conversation handling 📅 Microsoft Outlook calendar integration 📝 Lead capture and information gathering 🔄 Human handoff capabilities Simply add a JavaScript snippet to your website and configure the workflow to match your needs. Follow our detailed setup guide to get started in minutes. Note: Widget includes a "Powered By" affiliate link.

The purpose of this n8n workflow is to automate the process of identifying incoming Gmail emails that are requesting an appointment, evaluating their content, checking calendar availability, and then composing and sending a response email. Note that to use this template, you need to be on n8n version 1.19.4 or later.

Who is this for? This workflow is ideal for developers, content creators, or customer support teams looking to automate text-to-speech conversion using OpenAI. What problem does this solve? It automates the process of converting text inputs into speech, reducing manual effort and enhancing productivity. What this workflow does: This workflow triggers when a text input is received via a webhook, converts it into audio using the OpenAI API, and sends the generated speech back through a webhook response. Setup: Ensure you have an OpenAI API key (you can get it from the OpenAI website). Set up the webhook URL and parameters. Configure the OpenAI node with your API key (Create New Credentials). Set up the response to webhook node.

CallForge - AI Gong Sales Call Processing Workflow Automate your Gong.io sales call analysis with AI-driven insights, real-time tracking, and structured CRM integration. Who is This For? This workflow is designed for: ✅ Sales teams looking to automate sales call processing. ✅ Revenue operations (RevOps) professionals managing high volumes of call data. ✅ AI-driven sales intelligence teams using Gong.io for data-driven insights. What Problem Does This Workflow Solve? Manually managing and analyzing large volumes of Gong call data is time-consuming and error-prone. With CallForge, you can: ✔ Automate call processing to scale AI-driven insights. ✔ Integrate with Notion to track and organize sales call data efficiently. ✔ Get real-time Slack updates to stay informed on call processing progress. ✔ Handle API failures gracefully, allowing easy reruns if a rate limit is hit. ✔ Ensure AI-ready analysis, feeding structured call data into an AI-powered system. What This Workflow Does 1. Triggers on New Gong Calls Captures new Gong calls and retrieves metadata, call summaries, and participant details. 2. Compares Calls Against Notion Database Checks whether the call has already been processed and stored in Notion. Prevents duplicate entries from being added. 3. Creates a Parent Notion Record for AI Processing Stores call details such as date, title, URL, company name, sales rep, and opportunity details in Notion. Links calls to Salesforce Opportunity (SF Opp) data. Assigns sales representatives and customer information to each call. 4. Loops Through Calls for Processing Ensures resilience by allowing failed runs to restart where they left off. Processes calls one at a time to prevent Notion rate limits. 5. Sends Call Data to an AI Processor Extracts structured call details and sends them to an AI-powered analysis workflow. Allows multiple AI agents to process and extract structured data from calls. 6. Provides Real-Time Slack Alerts Posts a progress update in Slack when the queue starts processing. Sends real-time call progress notifications. Sends a completion alert once all calls are processed. How to Set Up This Workflow 1. Connect Your APIs 🔹 Gong API Credentials – Ensure you have valid Gong API credentials in n8n. 🔹 Notion Database – Provide access to a Notion database for storing call insights. 🔹 Slack Integration – Configure a Slack channel for progress alerts. 🔹 AI Processing Workflow – Connect an AI-powered call processing workflow for final analysis. How to Customize This Workflow 💡 Modify Call Storage – Swap Notion for a different CRM or database (e.g., HubSpot, Airtable, Salesforce). 💡 Change AI Processing – Integrate a custom AI model for analyzing sales conversations. 💡 Customize Slack Notifications – Adjust Slack messages or send alerts via email instead. 💡 Expand with More Integrations – Connect with Salesforce, Pipedrive, or HubSpot for further enrichment. Why Use CallForge? 🚀 Automate Gong call tracking for seamless sales intelligence. 📊 Improve sales operations with structured, AI-powered insights. ⚡ Get real-time updates and keep your team informed instantly. Start optimizing your Gong call processing today!

Get deep insights into NFT market trends, sales data, and collection statistics—all powered by AI and OpenSea! This workflow connects GPT-4o-mini, OpenSea API, and n8n automation to provide real-time analytics on NFT collections, wallet transactions, and market trends. It is ideal for NFT traders, collectors, and investors looking to make informed decisions based on structured data. How It Works - Receives user queries via Telegram, webhooks, or another connected interface. - Determines the correct API tool based on the request (e.g., collection stats, wallet transactions, event tracking). - Retrieves data from OpenSea API (requires API key). - Processes the information using an AI-powered analytics agent. - Returns structured insights in an easy-to-read format for quick decision-making. What You Can Do with This Agent 🔹 Retrieve NFT Collection Stats → Get floor price, volume, sales data, and market cap. 🔹 Track Wallet Activity → Analyze transactions for a given wallet address. 🔹 Monitor NFT Market Trends → Track historical sales, listings, bids, and transfers. 🔹 Compare Collection Performance → View side-by-side market data for different NFT projects. 🔹 Analyze NFT Transaction History → Check real-time ownership changes for any NFT. 🔹 Identify Market Shifts → Detect sudden spikes in demand, price changes, and whale movements. Example Queries You Can Use ✅ "Get stats for the Bored Ape Yacht Club collection." ✅ "Show me all NFT sales from the last 24 hours." ✅ "Fetch all NFT transfers for wallet 0x123...abc on Ethereum." ✅ "Compare the last 3 months of sales volume for Azuki and CloneX." ✅ "Track the top 10 wallets making the most NFT purchases this week." Available API Tools & Endpoints 1️⃣ Get Collection Stats → /api/v2/collections/{collection_slug}/stats (Retrieve NFT collection-wide market data) 2️⃣ Get Events → /api/v2/events (Fetch global NFT sales, transfers, listings, bids, redemptions) 3️⃣ Get Events by Account → /api/v2/events/accounts/{address} (Track transactions by wallet) 4️⃣ Get Events by Collection → /api/v2/events/collection/{collection_slug} (Get sales activity for a collection) 5️⃣ Get Events by NFT → /api/v2/events/chain/{chain}/contract/{address}/nfts/{identifier} (Retrieve historical transactions for a specific NFT) Set Up Steps 1. Get an OpenSea API Key Sign up at OpenSea API and request an API key. 2. Configure API Credentials in n8n Add your OpenSea API key under HTTP Header Authentication. 3. Connect the Workflow to Telegram, Slack, or Database (Optional) Use n8n integrations to send alerts to Telegram, Slack, or save results to Google Sheets, Notion, etc. 4. Deploy and Test Send a query (e.g., "Azuki latest sales") and receive instant NFT market insights! Stay ahead in the NFT market—get real-time analytics with OpenSea’s AI-powered analytics agent!

I prepared a detailed guide that shows the entire process of building an AI agent that integrates with Airtable data in n8n. This template covers everything from data preparation to advanced configurations. Who is this for? This workflow is designed for developers, data analysts, and business owners who want to create an AI-powered conversational agent integrated with Airtable datasets. It is particularly useful for users looking to enhance data interaction through chat interfaces. What problem does this workflow solve? Engaging with data stored in Airtable often requires manual navigation and time-consuming searches. This workflow allows users to interact conversationally with their datasets, retrieving essential information quickly while minimizing the need for complex queries. What this workflow does This workflow enables an AI agent to facilitate chat interactions over Airtable data. The agent can: - Retrieve order records, product details, and other relevant data. - Execute mathematical functions to analyze data such as calculating averages and totals. - Optionally generate maps for geographic data visualization. - Dynamic Data Retrieval: The agent uses user prompts to dynamically query the dataset. - Memory Management: It retains context during conversations, allowing users to engage in a more natural dialogue. - Search and Filter Capabilities: Users can perform tailored searches with specific parameters or filters to refine their results. Set up steps - Separate workflows: Create an additional workflow and move there Workflow 2. - Replace credentials: Replace connections and credentials in all nodes. - Start chat: Ask questions and don't forget to mention the required base name.

Healthcare Clinic Assistant with WhatsApp and Telegram IntegrationVersion: 1.1.0n8n Version: 1.88.0+License: MIT A comprehensive and modular automation workflow designed for healthcare clinics. It manages patient communication, appointment scheduling, confirmations, rescheduling, internal tasks, and media processing by integrating WhatsApp, Telegram, Google Calendar, and Google Tasks, combined with AI-powered agents for maximum efficiency. This system guarantees proactive communication with patients, streamlined internal clinic management, and consistent data synchronization across platforms. Key Features🤖 AI-Powered Specialized Agents: Distinct agents handle WhatsApp patient support, appointment confirmations, and internal rescheduling tasks. 📱 Omnichannel Communication: Handles patient interactions via WhatsApp and staff commands via Telegram. 📅 Google Calendar Appointment Management: Full synchronization for creating, updating, canceling, and confirming appointments. 📋 Task Management with Google Tasks: Manages shopping lists and administrative tasks efficiently through staff Telegram requests. 🔔 Automated Appointment Reminders: Daily-triggered system proactively sends WhatsApp confirmations to patients for next-day appointments. 🖼️ Intelligent Media Processing: Transcribes audios, extracts text from images, and processes documents using OpenAI and OpenRouter AI models. 🛡️ Escalation to Human Support: Automatically detects sensitive or urgent cases and escalates them to a human agent when needed. Use CasesPatient Communication: Respond to inquiries, schedule, reschedule, and confirm appointments seamlessly via WhatsApp. Internal Clinic Operations: Allow staff to modify appointments or add shopping list reminders directly from Telegram. Appointment Confirmation System: Automatically contacts patients one day prior to appointments for confirmation or rescheduling. Task and Reminder Management: Keeps clinic operations organized through automatic task management with Google Tasks. Technical ImplementationWhatsApp Patient Interaction Flow - Webhook Reception: Incoming WhatsApp messages captured via Evolution API webhook. - Message Classification: Intelligent routing of messages based on content type (text, image, audio, document). - Media Content Processing: - Audios: Download, convert, and transcribe via OpenAI Whisper. - Images: Analyze and extract text/descriptions with OpenAI Vision model. - Patient Request Handling: Specialized WhatsApp assistant responds appropriately using AI prompts. - Outbound Message Formatting: Ensures messages comply with WhatsApp format standards. - Message Delivery: Sends responses back via Evolution API.Telegram Staff Management Flow - Telegram Webhook Reception: Captures messages from authorized staff accounts. - Internal Assistant Processing: - Appointment Rescheduling: Identifies and updates appointments through MCP Google Calendar. - Task Creation: Adds new entries to the clinic's shopping list using Google Tasks. - Notifications and Confirmations: Sends confirmations back to staff through Telegram.Appointment Reminder System - Daily Trigger Activation: Fires every weekday at 08:00 AM. - Calendar Scraping: Lists next day's appointments from Google Calendar. - Patient Contact: Sends WhatsApp confirmation messages for each appointment. - Response Management: Redirects confirmation or rescheduling replies to appropriate agents.Setup Instructions 1. Import the Workflow n8n → Workflows → Import from File → Upload this JSON file. 2. Configure Credentials - Evolution API (WhatsApp Communication) - Telegram Bot API (Staff Communication) - Google Calendar OAuth2 (Appointment Management) - Google Tasks OAuth2 (Task Management) - OpenAI and OpenRouter APIs (AI Agents) - PostgreSQL Database (Chat Memory) 3. Set Sensitive Variables Replace placeholder values: - {sua instância aqui} → Evolution API instance name - {número_whatsapp} → WhatsApp numbers - {url_do_servidor} → Server URLs - {a sua apikey aqui} → API keys - {seu_calendario} → Google Calendar ID 4. Customize AI Prompts Adjust system prompts to fit your clinic’s tone, service style, and patient communication guidelines. Set clinic operating hours, escalation rules, and cancellation procedures in AI prompts. 5. Activate and Test - Simulate patient messages via WhatsApp. - Test Telegram commands from staff members. - Validate daily appointment reminders using the scheduled trigger.Technical Notes - PostgreSQL is used for persistent chat memory across sessions. - Multiple AI Models Used: - OpenAI GPT-4.1-nano - OpenAI GPT-4.1-mini - Google Gemini 2.0 and 2.5 - Full media content processing supported (audio, image, text). - Compliant escalation workflows ensure patient safety and proper handoff to human staff when necessary. - All sensitive patient data are securely stored inside calendar event descriptions for easy retrieval by agents.License This workflow is provided under the MIT License. Feel free to adapt and customize it for your clinic’s specific needs.

Track NFT listings, offers, orders, and trait-based pricing in real time! This workflow integrates OpenSea API, AI-powered analytics (GPT-4o-mini), and n8n automation to provide instant insights into NFT trading activity. Ideal for NFT traders, collectors, and investors looking to monitor the market and identify profitable opportunities. How It Works A user submits a query about NFT listings, offers, or order history. The OpenSea Marketplace Agent determines the correct API tool: - Retrieve active NFT listings for a collection. - Fetch valid offers for individual NFTs or entire collections. - Identify the cheapest NFT listings by collection or token ID. - Track the highest offer made for a single NFT. - Access detailed order history for a transaction. The OpenSea API (requires API key) is queried to fetch real-time data. The AI engine processes and structures the response, making it easy to interpret. The NFT marketplace insights are delivered via Telegram, Slack, or stored in a database. What You Can Do with This Agent 🔹 Find the Best NFT Listings → Retrieve the cheapest available listings in any collection. 🔹 Track Offers on NFTs → See all active offers, including highest bids. 🔹 Analyze Collection-Wide Market Data → Compare listings, offers, and sales activity. 🔹 Retrieve Order Details → Search by order hash to check buyer, seller, and transaction status. 🔹 Fetch NFT Trait-Based Offers → Identify rare traits that receive premium bids. 🔹 Monitor Multi-Chain Listings → Works across Ethereum, Polygon (Matic), Arbitrum, Optimism, and more. Example Queries You Can Use ✅ "Show me the 10 cheapest listings for Bored Ape Yacht Club." ✅ "Find the highest bid for CryptoPunk #1234." ✅ "Track all open offers for Azuki NFTs." ✅ "Retrieve details for this OpenSea order: 0x123abc... on Ethereum." ✅ "List all NFTs for sale in the 'CloneX' collection." Available API Tools & Endpoints 1️⃣ Get All Listings by Collection → /api/v2/listings/collection/{collection_slug}/all (Fetches active listings for a collection) 2️⃣ Get All Offers by Collection → /api/v2/offers/collection/{collection_slug}/all (Retrieves all offers for a collection) 3️⃣ Get Best Listing by NFT → /api/v2/listings/collection/{collection_slug}/nfts/{identifier}/best (Finds the lowest-priced NFT listing) 4️⃣ Get Best Listings by Collection → /api/v2/listings/collection/{collection_slug}/best (Fetches the cheapest listings per collection) 5️⃣ Get Best Offer by NFT → /api/v2/offers/collection/{collection_slug}/nfts/{identifier}/best (Retrieves the highest offer for an NFT) 6️⃣ Get Collection Offers → /api/v2/offers/collection/{collection_slug} (Shows collection-wide offers) 7️⃣ Get Item Offers → /api/v2/orders/{chain}/{protocol}/offers (Fetches active item-specific offers) 8️⃣ Get Listings by Chain & Protocol → /api/v2/orders/{chain}/{protocol}/listings (Retrieves active listings across blockchains) 9️⃣ Get Order Details by Hash → /api/v2/orders/chain/{chain}/protocol/{protocol_address}/{order_hash} (Checks order status using an order hash) 🔟 Get Trait-Based Offers → /api/v2/offers/collection/{collection_slug}/traits (Fetches offers for specific NFT traits) Set Up Steps - Get an OpenSea API Key: Sign up at OpenSea API and request an API key. - Configure API Credentials in n8n: Add your OpenSea API key under HTTP Header Authentication. - Connect the Workflow to Telegram, Slack, or Database (Optional): Use n8n integrations to send alerts to Telegram, Slack, or save results to Google Sheets, Notion, etc. - Deploy and Test: Send a query (e.g., "Get the best listing for BAYC #5678") and receive instant insights! Stay ahead of the NFT market—gain powerful insights with AI-powered OpenSea analytics!

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 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 1. Create Telegram Bot Use @BotFather to get your bot token. 2. Get CoinMarketCap API Key Apply here: https://coinmarketcap.com/api/ 3. Install Sub-Agent Templates Required: - Crypto Agent Tool - Exchange & Community Tool - DEXScan Tool 4. Configure Credentials in n8n Add both Telegram and CoinMarketCap keys as HTTP Header Auth. 5. Deploy & Test Ask your Telegram bot: “Top 10 tokens by 24h volume” or “Convert 5 ETH to USD” Your crypto insights—smarter, faster, and all in one Telegram message.

This workflow offers an effective way to handle a chatbot's functionality, making use of multiple tools for information retrieval, conversation context storage, and message sending. It's a setup tailored for a Slack environment, aiming to offer an interactive, AI-driven chatbot experience. Note that to use this template, you need to be on n8n version 1.19.4 or later.

Automatically generate engaging social media content by watching WordPress posts and using OpenAI GPT-3 to create and post on Facebook Pages.

Generate Discord messages from OpenAI completions triggered by a Webhook and log them in Google Sheets. Streamline communication and record-keeping with this powerful integration.

This n8n template offers a simple yet capable chatbot assistant who can answer course enquiries over SMS. Given the right access to data, AI Agents are capable of planning and performing relatively complex research tasks to get their answers. In this example, the agent must first understand the database schema, retrieve lists of values before generating its own query to search over the database. How it works A Twilio trigger gives us the ability to receive SMS input into our workflow via webhook. The message is then directed to our AI agent who is instructed to assist the user and use the course database as reference. The database is an Airtable base. The agent autonomously figures out which tool it needs to use and generates its own "filter_by_formula" query to search over the available courses. On successful search results, the Agent can then use this information to answer the user's query. The Agent's output is logged in a second sheet of the Airtable base. We can use this later for analysis and lead gen. Finally, the response is sent back to the user through SMS using Twilio. How to use Ensure your Twilio number is set to forward messages to this workflow's webhook URL. Configure and update the course database as required. If you're not interested in courses, you can swap this out for inventory, deliveries or any other data relevant to your business. Ask questions like: - "Can you help me find suitable courses to fill my Wednesday mornings?" - "Which courses are being instructed by profession Lee?" - "I'm interested in creative arts. What courses are available which could be relevant to me?" Requirements - Twilio for SMS receiving and sending - OpenAI for LLM and Agent - Airtable for Course DatabaseCustomising this workflow Add additional tools and expand the range of queries the agent is able to answer or assist with. Not using Airtable? This technique also works with SQL databases like PostgreSQL.