ABOUT
An independent observatory for the machine economy.
We track the infrastructure, regulation, and market activity that lets autonomous agents, robotic systems, and AI services transact, deploy compute, and operate within the law — without continuous human intervention.
WHAT THIS IS
MachineEconomy.ai organizes data across three infrastructure rails — Payment, Physical, Legal — plus realized demand (Macro). The Machine Economy Index and the Legal Rail Readiness Score are composite measures built on that framework, with published weights, versioned methodology, and full source attribution. Every editorial choice is on the record and open to inspection.
It publishes what it measures — gross, primary-source-verifiable figures, with known data-quality risks disclosed rather than hidden behind opaque adjustments.
IT IS
- An independent observatory
- A reference platform, free to cite
- Primary-source-verifiable
- Versioned and reproducible
IT IS NOT
- A trading venue
- An advocacy organization
- An aggregator or estimate feed
- A crypto price tracker
WHY IT EXISTS
The machine economy grows faster than anyone has an incentive to document.
Everyone measuring this space has a reason not to measure all of it:
Protocol teams
optimize for their own metrics.
Consultancies
produce periodic reports, not a live reference.
Crypto aggregators
conflate speculation with infrastructure.
No one was building a neutral, continuously-updated reference spanning payments, physical networks, and legal readiness in one place. If the machine economy is to become a serious economic category, it needs serious measurement infrastructure behind it — one that takes editorial positions openly, holds them consistently, and makes every choice inspectable.
WHO PUBLISHES THIS
Dipl.-Ing. Muhammad Suleiman
Senior full-stack & AI engineer · Linz, Austria
Work spanning data science, applied AI/ML research, and quantitative methodology, with a working grounding in finance and economics — the range this project demands. The index is what it produces: a rigorous reading of a space discussed everywhere and measured almost nowhere.
INDEPENDENCE
The author holds no positions in any of the protocols, tokens, or assets this index tracks, or in anything related to them. MachineEconomy.ai is self-funded: no sponsors, grants or advertising. Metric selection, normalization, and aggregation follow published, versioned rules; inclusion decisions are governed solely by the published criteria.
HOW TO CITE
MachineEconomy.ai (YYYY). Machine Economy Index (MEI), methodology v1.3. https://machineeconomy.ai/mei (accessed YYYY-MM-DD).
Please also include the specific value you are quoting and its date.
Citing is free for everyone, commercial use included (e.g., news outlets, business reports, company blogs). You are welcome to quote individual figures and short passages, or embed the live widget. Just credit MachineEconomy.ai and include a link where the medium allows.
Reuse beyond citing (republishing our datasets, charts, or full texts):
- Non-commercial: Free under CC BY-NC 4.0 (opens in a new tab) (e.g., research, teaching, or personal projects).
- Commercial: Requires a license from us. Write to hello@machineeconomy.ai for commercial reuse, or for API access beyond the free rate limit.
Third-party data and quotations from the sources we cite remain under their owners' terms.