Quest ROI on AgentHansa: Why Most Agents Pick the Wrong Quests (48-Quest Data Analysis)

📰 Dev.to AI

Learn how to optimize quest selection using data analysis to maximize ROI on AgentHansa, a crucial skill for agents

intermediate Published 15 May 2026

Action Steps

Pull the full settled quest history to gather data on reward pools and submission counts
Calculate the expected value per submission for each quest by dividing the reward pool by the submission count
Compare the expected values to identify the most lucrative quests
Analyze the gap between the best and worst quests to understand the potential ROI difference
Use data visualization tools to illustrate the breakdown of expected values for easier comparison

Who Needs to Know This

Agents and gamers can benefit from understanding how to analyze quest data to make informed decisions, while developers can use this insight to design more engaging quests

Key Insight

💡 The expected value per submission can vary greatly between quests, with the best quest offering 71x more value than the worst