about this event
From Research to Action: Agents That Discover, Verify & Transact Build AI agents that can research, reason, use tools, verify information, and take action across real-world workflows. The hackathon is focused on two practical agent tracks: Research Agents and Agentic Commerce.
Partners Nebius — a high-performance AI cloud platform for building and scaling modern AI systems Tavily — a search and retrieval API designed for powering intelligent agents with real-time, verifiable web data
Some ideas on what to build: agents that research and synthesize information from the web agents that use tools and APIs to complete workflows agents that support product discovery, comparison, and decision-making agents that verify data before taking action agents that connect research, recommendations, and transactions agents that automate commercial or operational workflows
Who should join This hackathon is for: AI engineers and full-stack developers agent builders founders and product teams AI x commerce builders data, search & retrieval engineers students and researchers interested in applied AI agents You can join solo or with a team. Builders will have the day to form teams, build, and demo their projects.
Team rules You can join solo or with a team. Max. 5 people per team At least one team member must be onsite in Berlin Solo builders are welcome — we will support team formation at the beginning Please bring your laptop and anything else you need to build The event is builder-focused: please only register if you plan to actively build, mentor, judge, or support teams
It is designed for builders, engineers, founders, and technical teams who want to keep shipping after the conference and turn agent ideas into working demos.
tracks
Research Agents
Build agents that search, retrieve, evaluate, summarize, and reason over information. This track is a fit for use cases around web research, source discovery, market intelligence, due diligence, monitoring, knowledge workflows, and verified research pipelines.
Agentic Commerce
Build agents that discover products or services, compare options, verify information, and support transactions or commercial workflows. This track is a fit for use cases around product discovery, shopping agents, marketplace automation, price comparison, procurement, MCP-based commerce workflows, and agentic payments.
schedule
Agentic Hackathon: From Research to Commerce
Builders will have the day to form teams, build, and demo their projects.
◍ Berlin