Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents
DeFi investment agents, systems that use AI for autonomous on-chain trading, have attained over USD 3 billion in combined token valuations since late 2024. We survey over 1,900 AI-tagged crypto projects, filter to investment-focused agents, and curate 10 representative projects spanning strategy and observability dimensions. We then conduct a deep-dive architectural analysis of two prominent agent frameworks, ElizaOS and Virtuals Protocol, and a quantitative on-chain performance analysis of 11 S
Record details
Published: 27 May 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Finance, VC & PE
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Voluntary Collusion with Secret Tools in Competing LLM Agents
arXiv · 26 May 2026
Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study
arXiv · 26 May 2026
Scaling Behavior of Single LLM-Driven Multi-Agent Systems
arXiv · 30 May 2026
Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation
arXiv · 30 May 2026
Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis
arXiv · 2 June 2026
Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents
arXiv · 5 June 2026
How to cite this record
ethics.ai (27 May 2026), “Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents,” evidence record 3552, https://ethics.ai/record/3552 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.