Created on 26th April 2025
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Anonymity in Web3, while valuable, presents a significant challenge for DeFi protocols: understanding user needs and identifying high-quality participants. Without clear user profiles, it’s difficult to reward long-term contributors through retroactive incentives, airdrops, or ecosystem campaigns. If done wrong, such efforts attract users focused solely on short-term gains. However, the open-data nature of Web3 provides an opportunity by analyzing onchain behaviors.
Another pressing issue lies in user onboarding. Financial literacy varies widely, especially in regions like Southeast Asia, where around 70% of the population remains underbanked or unbanked. Despite growing fintech and DeFi innovations, only 0.065% of individuals in the region have interacted with DeFi platforms. This highlights the need for systems that can offer tailored support based on varying levels of financial literacy.
Suite is an AI-powered customer success engine designed to make DeFi more personalized and data-driven.
Agent Context Awareness: Even the latest sota LLM models like Claude 3.7 or GPT 4.1 cannot know comprehensively about Web3, DeFi, and especially user's onchain profile and protocol's information. We need to construct our own External Context Provider (ECP), in combination with prebuilt Agentkit + Langchain Extensions (with our contribution of Zerion API) to fulfill the context awareness of agent that enable it to answer smoothly.
x402 Integration: Amazingly that this suits well in our use cases + techstack, but such an early kit can encounters multiple problem. We receive friendly and detailed support from Coinbase Developer Platform Discord to make it integrate smoothly to our stack on both testnet and mainnet
Limited to DeFi protocol's open-source interface: Our application needs to injected in dapp's interface code, but only Aave and Uniswap publish their client interface. This will limited our showcase capacity on popular Base's native protocols llke Morpho, Moonwell, and Aerodrome. We'll work on this partnership later.
Tracks Applied (2)
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