AXIOM Labs -stablecoin risk intelligence for free

An AI-powered 'Survival Radar' that turns complex financial risk into a simple, life-saving score. Democratizing institutional-grade risk intelligence to protect the world's digital savings for free.

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Inspiration

In 2022, the collapse of UST wiped out $40 billion in 72 hours. While institutional players had the tools to see the cracks early, ordinary people—freelancers in the UK, small merchants in Nairobi, and families saving for their future—were left in the dark. They didn't lose their savings because they were reckless; they lost because they were blind to risk.

As a former core team member at Binance who managed $24 billion in stablecoin assets (BUSD), I saw firsthand that risk intelligence is a "black box" reserved for the elite. Inspired by Dario Amodei’s essay “Machines of Loving Grace,” we asked: What if AI could take the world’s most sophisticated financial risk logic and give it to the public for free?

What it does

AXIOM Labs is a "Survival Radar" for the digital economy. It turns complex, institutional-grade risk data into a single, actionable score for zero-knowledge users.

  • Real-time Risk Scoring: A simple Green/Yellow/Red dashboard that tells you if your money is safe.
  • Claude-Powered Education: Instead of raw data, Claude 3.5 Sonnet explains why a risk is rising in plain language, teaching users about liquidity and collateral as they protect their assets.
  • The "Death Call": Our most critical feature. When the risk score \( S \) hits a critical threshold, the system triggers an automated phone call to wake the user up before a de-peg event wipes them out.

How we built it

We built a tri-layer intelligence system:

  1. The Quantitative Engine: We codified institutional risk frameworks into a multi-dimensional model. The core risk score \( S \) is calculated as: $$ S = w_1 \cdot L + w_2 \cdot P + w_3 \cdot C $$ Where \( L \) is the Liquidity Stress Index, \( P \) is the Peg Stability, and \( C \) is the Collateralization Ratio.
  2. The Reasoning Layer: We use Claude 3.5 Sonnet to analyze real-time telemetry and translate complex tensors into human-readable "Risk Stories."
  3. The Alerting Pipeline: A robust backend that monitors on-chain events every 30 minutes and integrates with global telecommunication APIs for the "Death Call" feature.

Challenges we ran into

  • Latency vs. Accuracy: Financial crises happen in seconds. We had to optimize our data pipeline to poll on-chain events rapidly while maintaining a deep structural audit layer to avoid false alarms.
  • The Ethical Paradox: We wrestled with the "Self-Fulfilling Prophecy"—could a "Red Alert" cause a bank run? We solved this by implementing a Graduated Alert System to provide calm, tiered guidance rather than inducing panic.

Accomplishments that we're proud of

  • Codifying "Insider" Knowledge: We successfully took "black box" logic from top-tier exchanges and turned it into an open-source, quantitative model.
  • Zero-Barrier Design: We built a UI that a merchant in Nairobi can understand in 3 seconds, removing the "education barrier" to financial safety.
  • Functional "Death Call": Successfully integrating real-time on-chain triggers with automated voice alerts.

What we learned

We learned that the most transformative use of AI isn't just "generating content"—it's "democratizing expertise." By using Claude to bridge the gap between $30,000-a-year Bloomberg terminals and a free web dashboard, we realized that Economic Empowerment is about giving people the sovereignty of information.

What's next for AXIOM Labs -stablecoin risk intelligence for free

  • RWA Penetration Auditing: Expanding our engine to look "under the hood" of Real World Assets (RWA) backing stablecoins.
  • Social Pulse Integration: Using Claude to analyze social media sentiment in real-time to detect "bank run" signals before they hit the chain.
  • Global Scale: Partnering with local fintechs in emerging markets to provide the "Death Call" service to millions of unbanked users.
// Our core emergency logic
if (riskScore < 40) {
  triggerDeathCall(userPhone); // The "Survival" alert
  generateClaudeAnalysis(telemetryData); // The "Education" layer
}

Built With

  • ai
  • anthropic
  • app
  • backend
  • claude
  • coingecko
  • core:
  • css
  • database:
  • lovable
  • lucide
  • managed
  • orchestration:
  • peg
  • sonnet
  • styling:
  • supabase
  • tailwind
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