Financial Autonomous AI Agents: Buying Services and Data Without Human Intervention

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Authors: Clément Conand
Cited by: 0

Abstract

Current AI agents are constrained by limited access to tools, data, and external services, that are often disparate and poorly integrated. We propose a decentralized ecosystem where companies and individuals can expose and monetize their digital services, methods, and data in a standardized format. This ecosystem enables AI agents to autonomously access these resources to solve complex problems. The use of blockchain and cryptocurrency microtransactions is critical: it allows agents to pay for services or data at very low costs (less than a cent), without relying on traditional financial systems. This model creates a viable economic dynamic for providers while granting agents unprecedented decision-making autonomy. This white paper explores the technological foundations, economic implications, and use cases of this approach, as well as the challenges related to standardization, large-scale adoption and validation of results.

Fields of Study & Subjects

Blockchain Technology Applications and Security FinTech Crowdfunding Digital Finance Digital Platforms and Economics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026
Language
EN
Document type
Preprint