AI agent that unlocks customer behavior patterns and boosts profit
Verified, guarded Hyperliquid route for AI agents with hashed receipts and keyless access
Stage
Established
Startup
Founded
2020
2026
Based in
US
Not given
Pricing model
Contact for pricing
Freemium
Pricing
Not given
Free: SDK, MCP server, simulator, receipts, paper trading. Live orders: 0.01% on volume up to $5M/month, 0.005% above $5M/month (founding testers pay 0% on first $1M/month until 28 Feb 2027). Examples: $500k volume $50/month (standard) or $0 (founding tester); $5M volume $500/month (standard) or $40
Key features
Real-time behavioral analytics and insights
Integration with existing digital systems and APIs
Predictive modeling for top-performing products and revenue
Personalized customer recommendations
Inventory and workforce optimization
Pricing and UX optimization actions
Campaign strategy recommendations
QR menu system compatibility
Closed-loop learning system
Hashed receipts anyone can re-verify
Full cost pricing before trade execution
Keyless access with no custody
Owner-set limits on leverage and order size
Paper trading and simulation
Real order-book depth pricing
MCP server protocol support
TypeScript and Python SDKs
What makes it different
Trained on 40M+ hours of real interaction data over 5+ years, with industry-specific vertical priors
Proprietary behavior data model with guardrailed auto-apply actions
Proven average profit increase of 22% with $14M+ demonstrated in results
Multi-industry application across hospitality, e-commerce, retail, delivery, and finance
Decision engine approach with business owner control over final recommendations
Receipts are hashed and anyone can re-verify them independently
Costs priced before the trade based on real order-book depth
No keys, accounts or custody required for research and simulation
Owner-set limits that agents cannot raise
Free and MIT-licensed with competitive builder fees