Our Mission

Using “Agentic Research” to study “Agentic Economics.”

In other words: making research itself a verifiable, iterative, and financeable network of autonomous agents—using the same principles to build both theory and practice, proving effectiveness through doing.

Vision

A collaborative ecosystem composed of Economists × Developers × Agents:

  • Research Agents study how to create and exchange value, while the research process itself is conducted by agents automatically collecting data, generating models, and publishing auditable results;

  • Enable funds, computing power, and algorithms to flow coherently through research networks via AVT/ANI, supporting open and sustainable innovation;

  • Ultimately form a trusted, transparent, and aligned dual-loop of agent economics and scientific research, bringing inclusive growth to humanity.

Core Values

Value Interpretation
Agentic First Any research and operational tasks that can be completed by agents should be prioritized for agent execution and verification.
Open Collaboration Research code, data, and models are open source by default, accepting community PRs and automated agent peer review.
Ethical Alignment Whether economic or research agents, all are subject to human values and transparent accountability.
Cross-disciplinary Co-creation Economists, engineers, designers, and policy experts jointly define problems and solutions.
Iteration-driven Rapid prototyping + on-chain metrics, continuous iteration, with failures also recorded for agent learning.

Who Do We Need?

Role Key Skills Participation Methods
Economics Researchers Econometrics, Industrial Organization, Game Theory Design A-FCF / ANI models; verify policy impacts
AI / Blockchain Developers Rust / Solidity / Python, Multi-agent Systems Build Agentic Research toolchain & data pipelines
Data Scientists Data cleaning, Causal Inference, ZK-Proof generation Provide verifiable analysis for research and economic agents
Product & Design UX, Information Architecture, Visualization Transform complex models into user-friendly tools and interfaces
Policy & Legal Experts Digital Asset Regulations, AI Governance Establish compliance frameworks, draft regulatory sandbox proposals

Whether seasoned or newcomer, anyone who believes in “Agentic First” has a stage.

Methodology: Agentic Research 3-Step

🎯 Define

Human researchers propose propositions and constraints, generating initial task trees.

🚀 Deploy

Research agents take tasks → pull data → run models → generate auditable intermediate products.

📊 Distribute

Results and process hashes are recorded on-chain, AVT incentives and reputation are automatically allocated based on performance; community review & human entry/exit points.

This closed loop is both a research process and a living experimental ground for economic models.

Milestones

Time Progress
2024 Q4 Complete first Agentic Research PoC:
· Multi-agent automatic generation of A-FCF datasets
· On-chain audit report demo
2025 Q2 Release A-GAAP draft (100% co-authored by humans + agents & auto-verified)
2025 Q4 Open source Agentic Research SDK v1.0 + public testnet

Join Us

🤝 Join the Community

  • Slack Community: Real-time collaboration & weekly Demo Day
  • GitHub: @AgenticEconomics - Issues / PR / Projects
  • Bi-weekly Open Roundtables: Co-create roadmaps & Agent Battles

📧 Contact Us

Email: contacts@agenticeconomics.org

🚀 Let's Transform Research Itself into Part of the Agent Economy

Building foundations for the future

Agentic Economics Initiative - Building an economic future where autonomous agents and humans prosper together