This article provides a complete, practical walkthrough of the Telegram Stickynote Automation Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Building an AI-Powered Crypto Analyst in n8n: Inside the CoinMarketCap Multi-Agent Workflow
   
   Meta Description:  
   Explore how an advanced n8n workflow integrates CoinMarketCap APIs with GPT-4o to deliver real-time, multi-agent crypto intelligence via Telegram. Learn how the system works, what agents it includes, and how to use it.
   
   Keywords:  
   n8n crypto workflow, CoinMarketCap AI analyst, GPT-4o, Telegram crypto bot, cryptocurrency market insights, DEXScan agent, CoinMarketCap API, crypto data automation, real-time crypto analytics, AI crypto trading tools
   
   Third-Party APIs Used:
   
   1. CoinMarketCap API
      - Cryptocurrency Listings
      - Coin Metadata
      - Live Pricing (Quotes Latest)
      - Exchange Info & Asset Holdings
      - Fear & Greed Index
      - DEXScan Suite (OHLCV, liquidity, trades)
   
   2. OpenAI API
      - Language model for AI reasoning (GPT-4o Mini)
   
   3. Telegram Bot API
      - Input trigger and output message delivery platform
   
   —
   
   📰 Article:
   
   How an n8n-Powered AI Crypto Analyst Is Transforming Real-Time Market Intelligence
   
   Cryptocurrency markets are fast-moving, data-intensive, and spread across a fragmented landscape. Traders need real-time insight from both centralized exchanges (CEX) and decentralized exchanges (DEX), community sentiment, market trends, and asset-specific fundamentals to make smart decisions.
   
   Enter the CoinMarketCap AI Analyst Agent — a cutting-edge n8n workflow that brings automation, artificial intelligence, and data aggregation into one powerful system. Powered by GPT-4o and modular sub-agents, this architecture delivers granular, real-time crypto intelligence directly to Telegram.
   
   In this article, we unpack how it works, what technologies are used, and how you can deploy this system to become your personal crypto analyst.
   
   —
   
   🧠 An Intelligent, Multi-Agent Architecture
   
   At its core, the CoinMarketCap AI Analyst Agent is built on n8n — a popular no-code/low-code platform for automation. This workflow uses OpenAI’s GPT-4o Mini as the central “brain,” backed by memory buffers for contextual awareness and enhanced reasoning. The true power, however, lies in its modular agents.
   
   Three sub-agents work together to turn queries into actionable insights:
   
   1. CoinMarketCap Crypto Agent  
      Focused on token-level data like listings, prices, volume, market cap, and conversions.  
      Example Use: “Convert 5 ETH to USD” or “What’s the price of Dogecoin?”
   
   2. CoinMarketCap Exchange & Community Agent  
      Provides CEX token holdings, metadata, exchange maps, and sentiment indicators.  
      Example Use: “What is the Fear & Greed Index today?” or “Tokens held by Binance”
   
   3. CoinMarketCap DEXScan Agent  
      Specializes in DEX-specific datasets like liquidity, pair quotes, OHLCV, and trade history.  
      Example Use: “Show recent trades on PancakeSwap” or “ETH/USDC liquidity on Polygon”
   
   Each agent calls a different CoinMarketCap API endpoint using toolWorkflow nodes inside n8n. These tools are designed to validate inputs, ensure safe requests to avoid errors (like missing IDs or wrong parameters), and support chaining of insights.
   
   —
   
   📊 Telegram as the User Interface
   
   The user interacts with the system through Telegram. When a user sends a message, the workflow:
   
   1. Triggers through a Telegram Input node
   2. Adds a session ID using the user's chat ID
   3. Routes the message to the AI Analyst Agent
   4. GPT-4o determines intent and selects the right agent
   5. Sub-agent queries CoinMarketCap and returns results
   6. Final response is sent back via Telegram Send Message node
   
   This seamless user flow makes it ideal for traders or analysts who want access to live crypto intelligence without logging in to dashboards or platforms.
   
   —
   
   🧩 Advanced Reasoning with GPT-4o and Memory
   
   The AI engine behind this system is OpenAI’s GPT-4o (Mini variant), integrated via n8n’s Langchain-compatible node. It does more than just rephrase questions — it understands financial intent, performs multi-query reasoning, and coordinates between agents.
   
   Paired with a Session Memory Buffer, GPT-4o remembers prior context, allowing users to build on dialogue across multiple messages — "What’s the price of SOL?" followed by "Compare that with Avalanche”? No need to repeat or clarify.
   
   It also supports validation logic:
   - Auto-fetches required IDs (e.g., for quote endpoints)
   - Ensures API-safe parameters
   - Coordinates cross-agent workflows to ensure complete insights
   
   —
   
   🔍 Use Case Examples
   
   Here are just a few of the tasks you can perform with this system:
   
   - “Top 10 coins by market cap and their 24h volume”
   - “Convert 500 ADA to USD”
   - “Get historical OHLCV for SHIBA/USDT on Uniswap for the past week”
   - “Compare BTC prices across Binance, Kraken, and Uniswap”
   - “List trending tokens by exchange sentiment”
   
   Whether you’re a data analyst, trader, or developer integrating insights into your dashboards, this workflow provides the flexibility and power of an AI data scientist.
   
   —
   
   ⚠️ Error Handling and Best Practices
   
   The workflow includes built-in handling for common CoinMarketCap API errors:
   
   - 400: Bad Request → Validates required fields and parameters
   - 401: Unauthorized → Enforces correct API key usage
   - 429: Rate Limited → Advises pacing of high-frequency queries
   - 500: Server Error → Catches and retries based on responses
   
   Validation steps are clearly documented within the agent’s prompt, ensuring GPT-4o follows best practices when querying endpoints.
   
   —
   
   🔧 How to Install and Use
   
   To use this workflow, install and connect the three required sub-agent workflows:
   - CoinMarketCap_Crypto_Agent_Tool
   - CoinMarketCap_Exchange_and_Community_Agent_Tool
   - CoinMarketCap_DEXScan_Agent_Tool
   
   Add valid API credentials for CoinMarketCap, OpenAI, and Telegram. Once configured, activate the workflow and start asking questions via Telegram.
   
   —
   
   🎯 Final Thoughts
   
   The CoinMarketCap AI Analyst Agent showcases the future of automation — a fusion of real-time data, intelligent language models, and multi-agent systems working in coordination. This n8n-based architecture doesn’t just respond to questions — it interprets them, delegates them, and returns structured, actionable insights.
   
   If you’re building tools for crypto research, investment management, or just interested in the latest innovations in AI-driven analytics, this is one of the finest examples of what's possible when automation meets intelligence.
   
   —
   
   For questions, support, or customizations, connect with the developer at:  
   🔗 Don Jayamaha — linkedin.com/in/donjayamahajr  
   © 2025 Treasurium Capital Limited Company. All rights reserved.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.