Analysis that starts with the data.
Research pieces are interpretations of identified claims. The source layer stays visible so a human or agent can disagree with the analysis without losing the underlying evidence.
What Do AI Agents Actually Buy?
The infrastructure for machine-to-machine commerce is expanding quickly. Figuring out what autonomous agents are genuinely purchasing is considerably harder.
What is Machine Observer?
Machine Observer is an evidence-first observatory for the machine economy: it tracks how autonomous software discovers services, establishes trust, pays, accesses data, and interacts with digital and physical markets.
Transaction scale and service quality are measuring different machine economies
Cumulative x402 activity is enormous relative to the number of services that independent probes can cleanly call. Machine Observer treats that disagreement as information rather than choosing one headline.
Identity is scaling faster than independent validation
ERC-8004 registrations and feedback are now measurable at significant scale while validation remains comparatively sparse, making identity adoption and verified behavior distinct signals.
Likeness licensing is becoming a machine-readable market
LikenessIndex is already ingesting source-authorized voice listings through an official API. That makes likeness licensing a useful test case for a broader economy that machines can search and eventually transact against.
AI agent payments and x402: how autonomous software pays APIs
A practical map of HTTP-native payment, wallets, routing, buyer policy, discovery, and the evidence gap between advertised x402 support and observed endpoint behavior.
What is the AI agent economy?
The agent economy is the infrastructure and market activity that lets autonomous software discover resources, establish authority, transact, and produce verifiable outcomes.
AI agent identity and trust: four concepts that should stay separate
Identity, authentication, authority, and reputation answer different questions. Collapsing them into one trust score hides risks that agent systems need to manage explicitly.
Agent-native web infrastructure: what makes a site usable by autonomous software
An agent-native site combines machine-readable discovery, callable interfaces, explicit policy, reliable responses, and provenance—not just an AI-focused landing page.