The Economics of AI Agent Marketplaces

Specialist software becomes composable

Internal tools often encode workflow knowledge that was too niche for traditional SaaS.

Agents lower the threshold for packaging that knowledge as a reusable product.

Trust is the marketplace moat

Buyers need to know what an agent can access, what it costs, what evidence it produces, and how it fails.

Versioning, metering, audit logs, permissions, and rollback are trust infrastructure.

New pricing models emerge

Some agents behave like labor, some like API calls, and some like compliance controls.

Marketplaces need flexible pricing for per-run, bundled, and enterprise allowances.