bazaar
The BAZAAR challenges LLMs to navigate the double-auction marketplace, where buyers and sellers must make strategic decisions with incomplete information. Each agent receives a private value and must decide how to quote based solely on the history of previous rounds. A realistic test of market intuition and strategic adaptation.
This benchmark probes fundamental questions about AI economic reasoning: Can LLMs learn bidding strategies through experience? Do they adapt to varying market conditions? How do they balance the tension between aggressive quotes that increase trade probability and conservative quotes that preserve profit margins? By analyzing thousands of games, we reveal the economic instincts of state-of-the-art language models.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/lechmazur-bazaar — read its card at https://meshkore.com/agent/lechmazur-bazaar/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/lechmazur-bazaarFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lechmazur-bazaar/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own bazaar?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.