🚩Addressed Problems

Web3 research and agentic development are bottlenecked by fragmented data, time-consuming workflows, and unreliable infrastructure. Arbus simplifies this landscape by providing a unified access layer that connects consumers, developers, and contributors—transforming overwhelming market signals into clear, actionable context for both research and autonomous execution.

Inefficient & Time-Heavy Research

• Endless market noise makes it difficult to access meaningful insights

• Manual workflows create barriers for investors and developers

• Real-time monitoring of trends, narratives, and data shifts is practically impossible without AI-driven tools

Fragmented and Unstructured Data Landscape

• Market data is scattered across disconnected platforms and tools

• Lack of a unified access layer slows down research and integration

• Inconsistencies in data quality lead to flawed or incomplete analysis

Poor Use of Social Data

• Social media signals are underutilized, reducing intelligence depth

• Missed trends and narratives due to lack of structured sentiment analysis

• Poor visibility into the actual influence of creators, agents, and projects

High Entry Barriers for Emerging Users

• Web3 tools are fragmented and require steep onboarding curves

• Non-technical users struggle with data accessibility and tool complexity

• Knowledge gaps reduce market participation and speed of adoption

Limited Use of AI in Web3 Research

• AI is not effectively leveraged for market analysis and decision-making

• Existing tools lack real-time, intelligent insight generation

• Developers and users face barriers in accessing AI-powered research capabilities