use case

Build Control into Agentic Commerce

Agents that source, buy, and pay on their own are within reach. Money still has no undo button. Runloop bounds what an agent can spend, reach, and touch before it ever runs, so agentic commerce can launch without betting the company on the agent behaving.

$1T

Projected orchestrated revenue from agentic commerce by 2030

15–25%

Share of total eCommerce market in 2030

Up to 20%

Of referral traffic comes from AI chat
MicroVM Isolation

Box in Every Agent

Runloop runs each agent in its own isolated microVM, so a compromised or misbehaving purchasing agent can't reach the host, your systems, or another tenant. Hardware-level isolation is the default, not a setting you remember to turn on.

Audit Trail

Full Audit Trail and Traceability for Every Agent Action

Runloop records each agent's actions in a durable, append-only event stream, so every source, purchase, and payment sits on an immutable, queryable audit log. When money moves, you have complete traceability of what happened and why, instead of reconstructing it after the fact.

Scoped Access

Scope What an Agent Can Do

Runloop hands agents substituted credentials and routes every call through controls you set, so the agent transacts without ever holding your real keys or reaching an endpoint you didn't approve. You define the boundary up front; the agent operates inside it.

Who it's for

Built for the teams who ship agentic commerce

Product Managers

Shipping an agent that can source, buy, and pay means solving the infrastructure and controls underneath it. Runloop provides that infrastructure off the shelf, so product teams don’t have to wait for their platform team to build the substrate first.

Security and Compliance Leaders

Signing off on an agent that can move money takes more than a promise that the model is usually careful. Runloop provides isolation, least-privilege access, and an immutable audit trail by default, so agentic commerce can be approved against controls that are verifiable, not behavior that has to be trusted.

Engineering and Platform Teams

Isolation, credential handling, network controls, and audit logging are features that are complex to build in-house. Runloop provides them as composable primitives that already fit together, so engineering time goes to the commerce logic, not to rebuilding the control plane beneath it.

FAQ'S

Everything You Need to Know

We’re dedicated to solving the complex challenges of productionizing AI for software engineering at scale.

What happens if a purchasing agent is compromised?
How is an AI agent's activity audited?
How can an agent transact without holding the payment keys?
How is a purchasing agent's access to services and credentials controlled?
How is agentic commerce kept safe to run?
What is agentic commerce?