SMB payments platform to accept and manage stablecoin payments on Base using Coinbase
Prize Pool
Project Overview This project aims to build a comprehensive ecosystem that bridges the gap between traditional finance users and the Web3 ecosystem, focusing on stablecoin-based payments (USDC). By integrating cutting-edge payment technologies, AI-driven assistance, and robust analytics, the platform will empower small and medium-sized businesses (SMBs) while enhancing the payment experience for end-users.
The project has four main pillars:
Stablecoin Payment Infrastructure Coinbase Wallet Onramp and QR-Based Payments AI-Powered Customer Support and Fraud Prevention Advanced Payment Analytics and CRM Tools Detailed Features and Functionalities
Vendors can accept payments directly in USDC, reducing reliance on volatile cryptocurrencies. Enable discounted rates for SMBs that join the ecosystem, incentivizing adoption. Ensure a low-fee structure to keep transaction costs competitive with or better than traditional payment systems like credit cards. Support integration with point-of-sale (POS) systems and offer a simple dashboard for SMBs to manage payments, view balances, and withdraw funds. 2. Coinbase Wallet Onramp and QR-Based Payments Objective: Make onboarding easy for both crypto-savvy and non-Web3 users while simplifying the payment process. Details:
Onboarding for Non-Web3 Users: Users who lack experience with Web3 technologies can onboard via the Coinbase onramp. Allow wallet creation and connection with minimal friction, such as single-click setup or linking to an existing email/social account. Offer up to $500 per week in transactions without KYC requirements, making it attractive for first-time users to test the ecosystem. Payment Process: Implement QR code-based payments where users can scan and pay directly using their Coinbase Wallet or other compatible wallets. Optimize the experience for mobile devices to ensure seamless, on-the-go transactions. Customer Benefits: Attract end-users with discounts when they use stablecoins for transactions, increasing adoption of USDC. Educate users about Web3 concepts subtly through intuitive design and micro-education steps during wallet setup. 3. AI-Powered Customer Support and Fraud Prevention Objective: Provide users with a virtual assistant to enhance their understanding and experience while offering real-time fraud prevention tools. Details:
AI Agent Features: Build an AI agent using LangChain and OpenAI models to serve as a 24/7 virtual assistant. Answer user queries related to: Wallet setup and connection. Payment and transaction statuses. USDC balances and current prices of cryptocurrencies. Fraud alerts and suspicious activity notifications. Guide users through complex processes like dispute resolution, refund requests, and troubleshooting. Fraud Detection: Use machine learning models to monitor real-time transaction data. Detect unusual patterns, such as: Transactions outside typical hours. Rapid successive payments or unusually high amounts. Payments to blacklisted addresses or known fraudulent accounts. Provide vendors and users with alerts and guidance on how to respond to flagged transactions. 4. Advanced Payment Analytics and CRM Tools Objective: Offer SMBs insights into their payment data, customer behavior, and operations to improve decision-making. Details:
Vendor-Centric Analytics Dashboard: Provide real-time insights into payment and customer data. Highlight key metrics such as: Peak transaction times: Understand when transactions are most frequent to optimize operations. Customer retention rates: Analyze repeat customers and build loyalty programs. High-value transfers: Identify top-paying customers and tailor offerings to retain them. Fraud Prevention Tools: Enable vendors to access fraud detection insights, such as flagged transactions or unusual payment activity. Customer Relationship Management (CRM): Use data-driven insights to segment customers and create personalized outreach strategies. Offer predictive analytics to suggest how vendors can improve retention and attract new users. Scalability: Design the analytics tools to scale with the size of the vendor, from small businesses to larger enterprises. Value Proposition For SMB Vendors:
Access a modern, efficient payment system with stablecoins. Save on transaction fees compared to traditional credit card systems. Gain actionable insights from advanced analytics, improving customer engagement and operational efficiency. For Users:
Enjoy discounts and a frictionless payment experience using USDC. Benefit from secure transactions and transparent pricing. Get educated and onboarded into the Web3 ecosystem with minimal effort. For the Ecosystem:
Drive adoption of stablecoins and crypto payments in mainstream commerce. Provide a bridge for non-Web3 users, fostering a new wave of crypto adopters. Leverage AI to enhance support, security, and analytics. Potential Challenges and Solutions Challenge: Reluctance of non-crypto-savvy vendors to adopt the system.
Solution: Provide extensive support, including tutorials, a user-friendly onboarding process, and discounts to lower barriers. Challenge: Concerns about stablecoin volatility and liquidity.
Solution: Focus on USDC, which is widely regarded as a stable and regulated option. Challenge: Scaling fraud detection without high false-positive rates.
Solution: Use AI models with access to historical transaction data to minimize errors and continuously improve accuracy. Challenge: Regulatory compliance for non-KYC users.
Solution: Ensure transactions comply with local regulations and cap limits to avoid exceeding permissible thresholds.
Blockchain: The Base L2 blockchain (by Coinbase) was chosen for its low-cost and efficient infrastructure, optimized for Ethereum-compatible smart contracts. Smart Contracts: Custom smart contracts written in Solidity to handle: Payment processing in USDC. Discount allocation for eligible SMB vendors. Transparent and tamper-proof transaction records. Payment Gateway API: Integration with Coinbase Commerce API to simplify stablecoin transactions for vendors who may lack technical expertise. How It Works:
A vendor signs up and registers their wallet via a simple onboarding flow. Payments are routed through the smart contract, ensuring automatic application of discounts when eligibility criteria (e.g., SMB status) are met. Vendors can view payments, withdraw funds, or issue refunds using a dashboard powered by React and Node.js. Notable Hacky Implementation:
Implemented a dynamic discount calculation system within the smart contract. This allows the platform to adjust discounts based on the vendor's transaction volume, incentivizing higher usage without requiring frequent contract redeployments. 2. Coinbase Wallet Onramp and QR-Based Payments Technology Stack:
Coinbase Wallet SDK: Used to integrate wallet creation and management into the platform. QR Code Generator: qrcode.js for creating payment-ready QR codes dynamically based on user-specific wallet addresses and transaction details. Payment Limits: Leveraged Coinbase’s existing onramp functionality to allow non-KYC users to transact up to $500/week. Frontend Framework: React.js with Tailwind CSS for a mobile-first, user-friendly interface. Backend APIs: Node.js for handling backend logic, such as linking user accounts to wallet addresses. How It Works:
Users sign up and are prompted to create or connect a wallet via the Coinbase onramp. QR codes are dynamically generated for each payment request. Users scan and confirm payments directly from their wallets. Payments are processed on-chain, with automatic settlement to the vendor’s wallet via the smart contract. Partner Benefits:
Coinbase Wallet SDK provided an out-of-the-box, secure way to onboard users into the Web3 ecosystem. The integration of Coinbase APIs allowed us to focus on building user experiences rather than reinventing core wallet functionality. Notable Hacky Implementation:
The QR code system was designed to be compatible with multiple wallet apps (not just Coinbase Wallet) by implementing a universal wallet deep-link format, ensuring maximum usability. 3. Coinbase AI Agent Kit Technology Stack:
LangChain: Orchestrates interactions between the AI agent, data sources (e.g., blockchain and CRM databases), and APIs. OpenAI GPT Models: Used to power natural language understanding and response generation. Coinbase APIs: Provide real-time data for wallet balances, payment statuses, and current cryptocurrency prices. Fraud Detection Models: Built using Scikit-learn and TensorFlow, trained on historical transaction data to detect suspicious activity patterns. How It Works:
Users interact with the AI agent via chat on the web platform. LangChain handles query routing: Fetches wallet balances or payment statuses from Coinbase APIs. Answers price-related questions using real-time market data. Detects and flags fraud by running transaction data through ML models. The AI agent uses natural language to explain issues (e.g., why a payment failed or why a transaction was flagged as suspicious). Partner Benefits:
Coinbase APIs provided secure access to wallet and payment data, reducing development overhead. OpenAI models ensured the AI agent could deliver user-friendly and context-aware explanations. Notable Hacky Implementation:
Integrated LangChain memory modules to provide a conversational experience, where the agent recalls past interactions in a session, making it feel more personal and intuitive. 4. Advanced Analytics and CRM Tools Technology Stack:
Data Pipelines: Built using Apache Kafka for streaming transaction data in real-time. PostgreSQL for relational data storage and queries. Analytics Engine: Python (Pandas, NumPy) for processing data, and Tableau for visualization. Machine Learning: Fraud Detection: Trained on a labeled dataset of known fraudulent and legitimate transactions, incorporating features like transaction timing, amount patterns, and vendor profiles. Customer Retention and High-Value Analysis: Used K-Means Clustering to segment customers based on transaction frequency, value, and recency. CRM Tools: Built custom CRM workflows into the vendor dashboard using Node.js and React.js, enabling vendors to segment customers, set up retention campaigns, and identify trends. How It Works:
Transactions are streamed into the data pipeline in real time, processed by fraud detection models, and flagged if anomalies are detected. Vendors can view insights in their analytics dashboard: Peak transaction times are displayed as heatmaps. Retention metrics are presented alongside actionable recommendations (e.g., create loyalty discounts). High-value transfers are highlighted for follow-up. AI models continuously improve using feedback loops from flagged transactions and vendor inputs. Notable Hacky Implementation:
Built an in-house predictive analytics engine that combines time-series forecasting and anomaly detection, providing vendors with early warnings about unusual transaction dips or spikes. Integration Highlights Coinbase APIs: Critical for wallet onboarding, transaction processing, and real-time data integration. LangChain and OpenAI Models: Allowed us to build an intuitive and intelligent AI agent quickly, focusing on user experience instead of underlying infrastructure. Base Blockchain: Its Ethereum compatibility and low-cost transactions ensured a fast, scalable payment backend. Partner Technologies: Reduced the complexity of wallet creation, fraud detection, and stablecoin payment processing. What Makes It Special? Low Barrier to Entry: Focused on onboarding non-Web3 users with familiar tools like QR codes and Coinbase Wallet. Custom Discounts: Dynamically tailored SMB incentives coded directly into smart contracts. Real-Time Fraud Detection: Implemented anomaly detection directly in the transaction pipeline, providing instant insights. Personalized CRM Tools: Enabled SMBs to use enterprise-grade analytics without requiring expensive third-party solutions.