FudScan

In crypto markets, misinformation ("FUD") spreads faster than facts. Investors and builders struggle to distinguish credible risks from noise, leading to panic sell-offs, reputational damage, and irrational market reactions. Currently, there is no transparent, AI-based system that evaluates FUD in real time across chains.

FudScan is an AI-driven risk intelligence layer that lets anyone query the credibility of any claim, coin, or project. It aggregates on-chain data, social sentiment, and market signals to produce real-time risk ratings and contextual explanations. Tagline: Do not get fcked with FudScan.

Core Features

• AI Risk Analysis: Instantly correlates rumors (Twitter/Telegram) with on-chain truth (Treasury outflows, LP drains).
• Sybil-Resistant Reporting: Uses World ID to ensure that user-submitted rumors come from real humans, not bot farms trying to manipulate price.
• Frictionless Onboarding: Uses Privy for seamless email-to-wallet login, allowing non-crypto natives to view reports easily.
• Premium Insights: Integrated Coinbase Payment Protocol (042) to allow instant unlocking of "Deep Dive" forensic reports.

Target Personas

Crypto Analyst Alex: Struggles to verify narratives quickly. FudScan provides instant AI-verified credibility scores, saving hours of manual research. Founder Fiona: Faces waves of misinformation. FudScan allows her to generate timestamped AI risk reports (notarized on-chain) to prove her project's integrity. User Journey (The POC)

Step 1: Ask. "Is $XYZ a rug?" (Login via Privy). Step 2: Verify. The AI scans the chain and social sentiment. It returns a score (e.g., "18/100 - Low Risk"). Step 3: Publish. The report hash is written on-chain as immutable proof. Step 4: Gate. Users must verify via World ID to submit new claims or use Coinbase Pay to download the full forensic PDF.

How it's made

FudScan is a multi-chain intelligence tool built using a modern AI and Web3 stack.

1. AI & Backend (The Brain) We utilized Python and OpenAI (GPT-4o) to generate our core analysis engine. The AI processes natural language claims (e.g., "The devs are dumping") and converts them into specific on-chain queries. We used LLMs to accelerate the development of our POC code, specifically for the monitor.py modules that detect wallet anomalies.

2. Identity & Auth (The Shield)

Privy: We integrated Privy to handle the "Analyst Alex" onboarding flow. This allows users to sign in with just an email, instantly creating an embedded wallet to store their FudScan search history and reputation. World ID (World Coin): To solve the problem of "FUD Bot Farms," we require World ID verification for anyone submitting a new rumor to the database. This ensures our "Community FUD Score" is derived from unique humans, not scripts.

1. Payments & Monetization

Coinbase Payment Protocol (042): We implemented the Coinbase Payment Protocol x402 to gate our "Deep Dive" forensic reports. When a user requests a high-level audit, the application triggers a payment request that settles instantly on Base, unlocking the full AI analysis.

1. On-Chain Verification

The core trust layer relies on notarizing reports.

Read Layer: The scanner monitors liquidity pools and treasury wallets (supporting Algorand, Base, and Mainnet).

Write Layer: Once an AI report is generated, we hash the JSON output (SHA-256) and publish it to the blockchain. This creates a permanent, tamper-proof record that a founder can use to prove: "At this date and time, the on-chain data proved we were solvent."

The frontend is built with Next.js and Tailwind for a clean, "terminal-style" aesthetic.