Real-time merchant verification for agentic commerce, protecting the consumer before an AI agent pays.
Real-time merchant verification for agentic commerce. One call, before the payment settles.
merchants screened
fraud detection rate
in payments protected
Edge
A verification layer, not a rented API key.
Agents can now pay a merchant without a human approving the purchase. Fortik is the approval.
For shopping agents
A required pre-checkout step: confirm the storefront's claimed identity before a purchase completes.
For payment infrastructure
A built-in safety gate, bundled into the wallet or checkout flow before any agent-initiated payment settles.
Visa's own fraud researchers found that criminals can engineer counterfeit storefronts good enough to fool automated checks — and prompt an agent to pay before the fraud is ever caught.
Visa Inc., "Agentic Commerce: Threats and Risks," 2026
"Only 17% of consumers currently trust AI agents enough to let those agents buy for them — in a market already worth $60.4B."
Check the merchant. Score the risk. Explain the verdict.
Fortik doesn't ask a merchant to submit proof in advance. Fortik gathers the evidence directly, in the moment, and hands the agent a verdict the agent can act on.
What Fortik does
A real-time cross-reference of independent public records against the storefront a purchase is about to reach.
How the score is built
The agent sends a domain right before checkout. Fortik checks the domain against multiple sources in parallel and returns a verdict in under two seconds.
Why no integration is needed
Merchants never register with Fortik in advance. Fortik works on a storefront an agent has never seen before.
Rails
Wherever agents already call out.
One scoring engine, reachable three ways, so the scoring engine fits into whatever protocol an agent is already built to speak.
01
MCP
For agent frameworks built on Model Context Protocol.
02
x402
Pay-per-call, for wallets and agent-payment infrastructure built on the open x402 standard.
03
REST
A plain HTTP endpoint for any enterprise procurement or risk system already in place.
Roadmap
A score that gets smarter with every purchase.
Today, Fortik runs a transparent, rule-based score — every result comes with a plain-English reason, deliberately easier to audit than a black box while the product is this early. The scoring engine is built to learn from there.
01Now
A fixed, explainable heuristic. Every score ships with the reasons behind it, and every verification's confirmed or disputed outcome is already logged through a live feedback endpoint — the start of a labeled dataset.
02Next
A dashboard that turns that logged data into something a design partner can actually see: call volume, accuracy over time, and how the model is classifying purchases. Every confirmed or disputed outcome keeps building the labeled dataset the model needs to learn from.
03Vision
The scoring engine retrains on that outcome data over time, so it gets more accurate the longer it runs. And the same check extends beyond shopping — to any purchase an AI agent makes on its own, from booking travel to paying a vendor.
Connect
We're building the reason the other 83% can.
Tell us where an agent in your stack is about to trust a stranger — talk to us. We'll get back to you directly.
