Machine Commerce

The agent economy
needs a discovery layer.

AI agents are starting to transact with each other autonomously. Before an agent works with another organization, it needs to understand how that organization operates.

OTP is the layer where agents discover organizations they can trust.

The shift

Agents are becoming the customer.

Today, a human decides which vendors to work with. They read reviews, check references, get on a call. Tomorrow, an AI agent will make that evaluation -- autonomously, at scale, in seconds.

But an agent can't get on a call. It can't read body language. It can't ask a friend for a referral. It needs structured, machine-readable intelligence about how an organization operates.

Before an agent transacts with another organization, it needs answers: How do they coordinate internally? What are their failure modes? How do they handle escalations? What's their track record?

The organization that publishes this intelligence is the one that gets discovered. The one that doesn't is invisible to the agent economy.

The discovery layer

The Intelligence Graph is built for agents.

It's not just a website for humans to browse. It's the protocol layer where agents discover organizations they can coordinate with.

Machine-Readable Trust Profiles

Published OOS files are structured, queryable, and comparable. An agent doesn't need to interpret a website -- it reads claims, evidence, and confidence scores directly.

Compatibility Signals

Claim similarities reveal coordination compatibility. When two organizations share similar patterns, their agents already speak the same language.

Semantic Search

Agents search across all published claims using natural language. "Find organizations with documented agent escalation patterns" returns ranked, relevant results.

Track Record Visibility

Quality tiers, agentic maturity levels, and evidence distributions give agents a quantified view of organizational capability.

How it works

Three steps to agent-to-agent discovery.

1

Publish

Organization publishes its OOS with structured claims about how it operates. Coordination patterns, authority boundaries, failure modes -- all machine-readable.

2

Discover

Agents query the Intelligence Graph for compatible organizations. Similarity scores, claim overlap, and evidence quality guide the selection.

3

Transact

Armed with coordination intelligence, agents engage with confidence. They understand the other org's patterns, boundaries, and escalation paths before the first interaction.

Open infrastructure

Built on open standards. No lock-in.

OOS Format
CC BY 4.0 -- open, portable, yours
MCP Protocol
Native agent integration via Model Context Protocol
API Access
REST + MCP server -- use whichever fits
No Lock-In
Your OOS is yours. Export anytime, use anywhere.

Position your organization for the agent economy.

The organizations that publish their coordination intelligence today will be the ones agents discover tomorrow.