This article provides a complete, practical walkthrough of the Stickynote Executeworkflow Automation Webhook 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:  
   Harnessing the Power of CoinMarketCap's DEXScan API with n8n: A No-Code Agent Workflow for Real-Time DeFi Analytics
   
   Meta Description:  
   Discover how the "CoinMarketCap_DEXScan_Agent_Tool" workflow leverages n8n, LangChain, and CoinMarketCap’s DEXScan API to deliver intelligent, real-time decentralized exchange (DEX) insights—from liquidity to pair tracking and historical trading data.
   
   Keywords:  
   CoinMarketCap API, DEXScan, n8n workflow, DeFi analytics, decentralized exchanges, crypto data automation, LangChain agent, OHLCV, Uniswap data, web3 insights, DeFi market monitoring, trading pairs, real-time DEX data
   
   Third-Party APIs Used:
   - CoinMarketCap DEXScan API (https://pro-api.coinmarketcap.com)
   - OpenAI API (via GPT-4o Mini model)
   
   —
   
   Article:
   
   🔍 CoinMarketCap_DEXScan_Agent_Tool: No-Code Intelligence for Decentralized Exchange Data
   
   As decentralized finance (DeFi) continues to reshape the global financial infrastructure, the demand for real-time, accessible, and actionable exchange data is stronger than ever. In response, we present the “CoinMarketCap_DEXScan_Agent_Tool”—a purpose-built, no-code n8n workflow that fuses artificial intelligence with CoinMarketCap's powerful DEXScan API for automated DEX insight delivery.
   
   Whether you're a DeFi researcher, data analyst, trader, or Web3 developer, this modular bot acts as your command center for querying and understanding decentralized exchange markets.
   
   🚀 What Is the CoinMarketCap_DEXScan_Agent_Tool?
   
   This n8n-based AI agent acts as a smart data query interface for CoinMarketCap’s full DEXScan suite. Powered by OpenAI’s GPT-4o-mini model and orchestrated using LangChain tools, it intelligently routes user messages and retrieves targeted data, such as:
   
   - Realtime and historical price action
   - Liquidity volumes
   - Trading pairs
   - Network and market metadata
   - Recent trades on specific contracts
   
   It also includes an AI memory buffer to maintain session context and reduce repeated requests.
   
   🧠 How It Works: Multi-Agent Coordination with LangChain Tools
   
   The core agent (“DEXScan Agent”) is built on LangChain and consists of:
   
   1. GPT-4o Mini Brain: Interprets user queries, maps them to the right API endpoint, and parses responses into meaningful answers.
   2. Memory Buffer: Retains session memory to handle interactive, ongoing queries.
   3. HTTP Request Tools: Each CoinMarketCap DEXScan endpoint is abstracted into its own reusable "tool" node, enforcing structure and validation.
   
   The workflow is typically triggered by another supervisory n8n agent. It receives two inputs:
   - message (user query)
   - sessionId (to manage context-based conversations)
   
   For example, a user might ask:  
   “What are the top 5 DEXs by 24h volume?”  
   The agent interprets this and queries the /v4/dex/listings/quotes endpoint with the proper sort parameters.
   
   ⚙️ The Power of 8 Specialized Endpoints
   
   The backbone of this tool lies in 8 strategic API integrations from the CoinMarketCap DEXScan API:
   
   1. DEX Metadata (/v4/dex/listings/info)  
      Return logo, launch date, URLs, and descriptions for any DEX by ID.
   
   2. DEX Networks List (/v4/dex/networks/list)  
      View all supported blockchain networks across DEX platforms.
   
   3. DEX Listings Quotes (/v4/dex/listings/quotes)  
      Rank decentralized exchanges based on live trading data like volume and market share.
   
   4. DEX Pair Quotes Latest (/v4/dex/pairs/quotes/latest)  
      Access real-time quotes and liquidity metrics for a specific token pair.
   
   5. DEX OHLCV Historical (/v4/dex/pairs/ohlcv/historical)  
      Time-series candlestick data for backtesting and market trend analysis.
   
   6. DEX OHLCV Latest (/v4/dex/pairs/ohlcv/latest)  
      Pull current-day OHLCV stats – perfect for dashboards and alerts.
   
   7. DEX Trades Latest (/v4/dex/pairs/trade/latest)  
      Capture the 100 most recent trades by token address or network.
   
   8. DEX Spot Pairs Latest (/v4/dex/spot-pairs/latest)  
      Discover the most active spot pairs filtered by volume, liquidity, or network.
   
   🎯 Use Cases
   
   This agent is an ideal backend for any DeFi intelligence service. Here’s how:
   
   - 📈 Investment Research: Monitor Uniswap, PancakeSwap, and other DEX activity in real time.
   - 🧭 DEX Discovery: Evaluate which new exchanges just launched and drill down into their metadata.
   - 🛠️ Portfolio Tools: Track performance and volume of specific coin pairs on-chain.
   - 💹 Trade Surveillance: Identify potential wash trading or anomalous liquidity spikes.
   - 🤖 Chatbot Integrations: Embed into a Telegram or Discord bot so users can type things like “Show me latest trades on ETH/USDT on Polygon”.
   
   🧩 Built-in Error Handling & Best Practices
   
   To prevent the workflow from returning empty or invalid responses, each endpoint follows rigorous validation schemes:
   
   - Every request includes required fields like network_slug or contract_address.
   - Parameter guides restrict invalid values that could result in 400-level errors.
   - Complex queries are mapped to appropriate aux or sort options to ensure compatibility with CoinMarketCap's backend.
   
   📝 Sample Queries You Can Make
   
   Here are a few real-world API prompts supported by the agent:
   
   - “Get top 5 DEXs by 24h volume”
   - “Show historical OHLCV data for SOL-USDT on Solana”
   - “Pull latest trades on a Uniswap V3 ETH/USDC pair”
   - “List spot pairs on Optimism with more than $500k liquidity”
   
   🌐 API Infrastructure & Licensing
   
   Third-Party APIs:
   - CoinMarketCap DEXScan API – https://pro-api.coinmarketcap.com  
   - OpenAI GPT-4o Mini – via n8n LangChain integration
   
   Intellectual Property Notice:  
   This workflow and architecture are the proprietary IP of Treasurium Capital Limited Company. Unauthorized reproduction, resale, or distribution is strictly prohibited.
   
   —
   
   Conclusion
   
   The CoinMarketCap_DEXScan_Agent_Tool brings together the power of AI and the transparency of blockchain data—all without the need to write a single line of code. With support for every major DeFi metric accessible via CoinMarketCap, this n8n workflow empowers users to analyze, automate, and act on DeFi data faster than ever before.
   
   🧠 AI with the mind of GPT.  
   🔧 Powered by LangChain tools.  
   📈 Fueled by CoinMarketCap data.
   
   Now that’s DeFi intelligence on autopilot.

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.