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Case Closed: An Agent Hackathon

devpostHosted on Devpost

Fetched about 5 hours ago

Friday, June 19, 2026

to Monday, June 22, 2026

•

3 days long

Data ScienceWeb DevelopmentArtificial Intelligence
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

online

12

Participants

$500

Prize Pool

1

Est. Projects

Case Closed is an asynchronous agentic hackathon. Your mission: build an autonomous detective agent capable of solving procedurally generated murder mysteries. Your agent will interact with a custom investigation environment through a simple HTTP API. It must gather evidence, interview witnesses, reason about timelines, and ultimately identify: The culprit, The means, The evidence-backed timeline. Actions costs budget. Seeds presents new mysteries. The best agents will balance reasoning, exploration, and efficiency. We strongly encourage participants to build using Railtracks, though teams are free to incorporate additional tools, models, and frameworks as desired. Unlike traditional LLM benchmarks, scoring is fully deterministic. Submissions are evaluated against hidden ground-truth solutions using evidence attribution and mechanical scoring. Get Started: 1. Register your team, 2. Read the API documentation, 3. Open a mystery seed, 4. Build your detective agent, 5. Submit your repository, 6. Compete on the live leaderboard. The environment can be accessed entirely through HTTP requests—no SDK required.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct