The Agent Economy

Oracle layers: 4.0 | Status: Long-term vision

As AI agents increasingly transact, negotiate, and coordinate with each other, they need a shared intelligence layer that produces verified world-state, not raw data they must each interpret independently.

This is where every layer of the Cournot stack converges:

• Oracle 1.0 provides the raw data feeds agents consume

• Oracle 2.0 makes that data queryable by meaning, not by feed ID

• Oracle 3.0 adds judgment: agents can ask "Did this happen?" and receive a verified answer

• Oracle 4.0 adds persistence: agents can subscribe to continuous intelligence about the conditions they care about

The result is an Agentic Intelligence Network: a shared perception layer where autonomous systems can trust the information they act on, verify the reasoning behind it, and hold the network accountable when it's wrong. Use cases at this layer include:

Application	How Agents Use Cournot
Autonomous trading	Trading agents consume verified signals as trusted inputs with full provenance, not black-box predictions
M2M commerce	Agents verifying delivery conditions, quality thresholds, and contract fulfillment against Cournot's verified world-state
Multi-agent coordination	Agents that need to agree on facts ("Did the shipment arrive?", "Is the collateral sufficient?") use Cournot as the shared truth layer
Agent risk management	Meta-agents that monitor other agents' behavior and flag anomalies, using Cournot's verified signals as baseline

The agent economy is the destination where Cournot's full stack (data, semantics, intelligence, action) becomes the infrastructure layer for autonomous systems at scale.