About Kontext

Every agent transaction should be verifiable

AI agents are moving money. They are paying vendors, settling invoices, and executing transactions at a pace no human team can manually audit. The infrastructure to verify, log, and trust these actions simply does not exist yet.

That is what Kontext is building.

The problem

The agent economy is exploding. AI agents are being deployed to handle procurement, treasury management, vendor payments, and customer refunds -- all involving real money moving through stablecoins and traditional payment rails.

But here is the gap: there is no trust layer.

When a human employee sends a $10,000 wire transfer, there are approval chains, audit trails, and compliance checks. When an AI agent does the same thing, most teams have... console logs. Maybe a Slack notification if they are lucky.

This is not a theoretical problem. As agents gain more autonomy and handle higher-value transactions, the lack of compliance infrastructure becomes a regulatory risk, an operational risk, and a trust risk. Companies cannot adopt agentic workflows at scale without solving this.

The GENIUS Act and what it means

The Guiding and Establishing National Innovation for U.S. Stablecoins (GENIUS) Act represents a significant shift in how the United States approaches stablecoin regulation. It creates a framework for stablecoin issuers and, by extension, sets expectations for how stablecoin transactions should be tracked and reported.

For builders in the agent economy, this means that compliance is not optional -- it is a prerequisite for operating at scale. Transaction logging, audit trails, and risk assessment are moving from "nice to have" to "must have."

Kontext is designed with this regulatory trajectory in mind. We provide the technical infrastructure that helps developers meet compliance requirements without slowing down their agent architectures. We are not a legal advisor and we do not replace your compliance team. We give your engineers the tools to build compliance into the product from the start.

The solution

Kontext is a TypeScript SDK and API that sits between your agents and the actions they take. Every action passes through Kontext, where it is:

  1. Logged -- immutable audit trail with full context
  2. Scored -- real-time trust score based on historical behavior, amount, velocity, and context
  3. Checked -- automated anomaly detection against configurable rules
  4. Confirmed -- optional human-in-the-loop approval for high-value actions
  5. Exported -- compliance-ready audit reports in standard formats

Five lines of code gives you all of this. The SDK is lightweight (under 10kb gzipped), has zero runtime dependencies, and works with any agent framework. It is open source under the MIT license.

Why I am building this

I am a solo founder building Kontext because I see a clear gap in the market that will only grow as agents become more autonomous and handle more money.

I have spent time at the intersection of developer tools, compliance, and crypto infrastructure, and I believe the right approach is developer-first: make compliance as easy as adding a middleware. If the developer experience is bad, teams will bolt it on as an afterthought -- or worse, skip it entirely.

Kontext is designed to be the compliance layer you actually want to use. Clean API, great TypeScript support, sensible defaults, and clear documentation.

This is early. The SDK is open source, the roadmap is public, and I am building in the open. If you are working on agentic commerce with stablecoins, I would love to hear from you.

Vision

The agent economy will be bigger than the app economy. Trillions of dollars will flow through AI agents in the next decade. Every one of those transactions needs to be verifiable, auditable, and trustworthy.

Kontext's vision is to be the trust infrastructure for this new economy -- the compliance layer that every agent builder reaches for, the way Stripe became the payment layer every developer reaches for.

We start with stablecoins because that is where the regulatory pressure is highest and the need is most acute. But the architecture is designed to expand to any action an agent takes that needs verification and trust.