Highlights
Learn More About Our Work →Human-Human Marketplace
Our foundational research studying how real human participants interact as buyers and sellers in controlled e-commerce simulations with Truth Warrant mechanisms.
January 2026Human-AI Marketplace
Investigating how AI assistants influence human decision-making in digital marketplaces, from product recommendations to deception detection.
January 2026AI-AI Marketplace
Large-scale simulations of AI agent economies to understand emergent market behaviors and test governance mechanisms for autonomous economic agents.
January 2026Research Impact
NSF-funded research platform built with Boston University and MIT
Technology Stack
Interactive Marketplace Simulation
Watch how our experimental platform enables controlled behavioral experiments with real participants
SELLER GAMEPLAY
Sellers create product listings, set quality levels, choose pricing strategies, and decide whether to warrant their claims
BUYER GAMEPLAY
Buyers browse listings, compare sellers, make purchases, and can challenge misleading claims to collect stakes
THE PROBLEM
In real online marketplaces, misleading ads can be profitable, and buyers often can't tell what's true until it's too late. Our research asks a practical question: if you change the rules of the market, can you make honest selling the best strategy without heavy moderation?
OUR APPROACH
- Human vs Human: Real people act as both buyers and sellers in the marketplace
- Human vs AI: Real buyers interact with agentic LLM sellers that follow different selling strategies
- Truth Warrants: Sellers escrow money to back their claims — buyers can challenge false claims and win
- Controlled Experiments: 100+ live experiments comparing marketplace rule variations
THE RESULT
- Platform and findings shared at Harvard, MIT, Google, Yale, and Columbia
- Reusable marketplace testbed for experiments on advertising and trust with both human and AI sellers
- Clear evidence showing how rule changes shift seller behavior and improve buyer outcomes
Experiment Results & Analysis
Human vs AI Marketplace and Human vs Human Marketplace Experiments
Interactive visualizations: hover, click or scroll to explore detailed analysis. Credits: Vedant Kejariwal, Harshaveena Komatineni, Swapneel Mehta, Quang Nguyen & Team.
Support & Partners
Our research is made possible through generous funding, institutional support, and technology partnerships with leading organizations committed to advancing digital platform governance.
