Robin Hood DAO

Problem Statement

Robin Hood DAO is a decentralized autonomous organization built to act as a vigilante against crypto scams, including rugpulls, honeypots, and other fraudulent projects. Its mission is to protect the community, turn deception into measurable value, and incentivize accurate reporting through a combination of staking, short positions, and token-based rewards.The DAO publishes investigative reports on suspicious projects, and members can stake USDC for or against a report. If a report is correct, members staking in favor receive a share of the profits generated from shorting the scam, while incorrect stakers lose their stake. Conversely, if a report is disproven, members staking against it earn REP tokens from the DAO treasury. This treasury accumulates profits from accurate reports, directly tying REP’s value to the DAO’s credibility and accuracy.By combining DeFi mechanics, community governance, and data-driven analysis, Robin Hood DAO incentivizes collective vigilance and creates a self-reinforcing ecosystem where trust, profit, and transparency are aligned. Members participate not only as stakeholders but as active contributors to the DAO’s intelligence, helping shape the reputation and influence of the organization.Through this structure, Robin Hood DAO acts as a market-level security layer, turning scam detection into both a profitable and socially valuable enterprise, rewarding those who uphold truth and discouraging negligence or misinformation. It embodies the spirit of decentralized justice, transforming the absence of regulators into a system where the community itself enforces accountability.

Solution

The project leverages The Graph to get coin value as well as wallet data. Smart Contracts have been implemented by using Pyth, whereas fundamental analysis, technical analysis, contract analysis, and market micro-structure analysis are done by using ASI One Fast and ASI One Mini, based on coin data provided by The Graph. Additionally The Graph's Subgraph MCP Server with ASI One serving as the MCP client brings a powerful agentic chatbot to the forefront, answering general as well as specific analytical user queries by referring the same tools that we've used for our analyses.