Stratt Labs — Agent Transaction Assurance
AI agents are already navigating your site — attempting to buy, book, subscribe, and complete transactions. Most fail silently: no error message, no log entry, just a journey that stalled and a customer you never had. What the agents see, you should see first.
the site as it is today
A human-verification modal intercepts the request. The agent has nothing to click, nothing to solve, and no path forward — so it waits.
200 OK · no error · no logThe server answered cleanly. The journey just stopped.
verified by Stratt Labs
Most sites pass the static checklist. Then a real agent attempts a real transaction, and something breaks. We run the journey, not the scan.
Not “can complete” in theory. Actually complete. A modal intercepts the click, a form step ignores machine input, the cart never confirms. We test real agents against your real paths — buying, booking, subscribing, contacting — and show you exactly where each one breaks and what it takes to fix it.
When an agent completes a journey on your behalf, how do you prove it was authorized? Our tamper-evident audit Ledger captures the full behavioral record of every interaction — what the agent did, whether it was authorized, whether it complied. The evidence is there before you need it.
Agent protocols are competing and none has won. As behavior evolves and obligations mature, your verification has to keep pace. That is what the retainer is for.
Not our numbers — the market’s.
of global online retail sales over holiday 2025 were AI-driven — $262 billion in revenue.
Salesforce shopper data · Feb 2026year-over-year growth in AI-referred traffic to US retail sites in Q1 2026 — converting 42% better than non-AI traffic.
Adobe Analytics · Apr 2026of B2B purchases will be handled by AI agents by 2028 — more than $15 trillion in spend.
Gartner · Nov 2025Brands that fielded their own shopper agents last holiday grew 59% faster than brands that didn’t (Salesforce). The window where agent-readiness is a differentiator — not table stakes — is short.
Agent Transaction Assurance (ATA) is one practice in three steps. Each engagement builds on the record of the last.
A fixed-fee, two-week engagement: real AI agents, run against your actual transaction journeys. The deliverable is a prioritized exposure report — how many critical paths fail, at which step, and a remediation path priced as the Pilot.
Includes a compliance-readiness view against the EU AI Act’s incoming transparency obligations (from Aug 2026) and the duties scheduled through 2027.
You leave with a number and a clock: what it costs to fix, and how long it takes.
We implement assurance on one priority path — purchase, booking, form, or service flow. Your static agent surface comes first — llms.txt, manifests, headers, structured discovery — brought up to standard as part of the build. Then behavioral verification confirms an agent can complete the full journey correctly, and the audit Ledger creates a tamper-evident record of every interaction: authorized, correct, compliant.
Runs on Facet — our proprietary verification platform, and the reason the practice scales.
You leave with a working reference implementation and the evidence to demonstrate it.
A retainer that keeps you current as the agent landscape changes. We cover all major protocols — none exclusively — so you’re not betting on a winner. As behavior evolves and obligations mature, we re-run your verification, update the Ledger, and keep your compliance evidence current.
Protocol fragmentation looks like a liability. Under Watch, it is the reason you stay verified.
You keep a verification that never goes stale.
You can’t assure what you can’t build. Delivering ATA takes production-grade engineering across the whole AI integration stack — so we offer that engineering on its own, for clients who need the build without the full practice, or who are working their way toward it.
Custom Model Context Protocol servers, engineered for production agent traffic: validated inputs, rate limiting, observability, and a hardened security posture as defaults — then maintained as the protocol landscape evolves. Generated scaffolding produces a demo. Production engineering is what keeps an integration correct under real load, year after year.
● live Tessera — a production-grade MCP server for a public library system, built and maintained by Stratt Labs, running in production today. Living proof the standard is real.
We build to the 2029 test: every engineering decision judged by whether it still looks right three years from now. our public build standard — the bar all of our work has to clear
The backend systems and cloud infrastructure behind AI-integrated products — held to the same standard as our own assurance work: observable, maintainable, and built to last.
Clean, documented interfaces that connect AI agents to your systems correctly. The integration layer that makes agent transactions possible in the first place — and that breaks silently when it’s built wrong.
Need the build, not the diagnostic? Talk to us about an MCP server or platform build →
The Audit, Pilot, and Watch engagements run on Facet — Stratt Labs’ proprietary platform. What it gives you is certainty.
Produce the evidence on demand — the moment a customer, an auditor, or a regulator asks. Not a claim that it worked. The record that shows it did.
Whether a real AI agent can actually complete your critical journeys — end to end, today.
The same certainty holds as protocols fragment, agent behavior changes, and obligations evolve.
You stand behind the outcome. We stand behind the method — and the record that proves it, every time. Facet is not the product we sell. It is how we deliver what we promise.
What if agent verification becomes a free commodity?
It partly already is — and that’s fine.
Static readiness checks are already a commodity: the correct manifest, the right headers, the standard tags. Worth having — the Pilot brings that whole layer up to standard as a matter of course. By itself, it protects nothing.
Protection starts after the static scan — behavioral verification across your actual transaction journeys, catching the failures no checklist finds because they only appear when a real agent runs the real path. A governance gate that captures whether each interaction was authorized and correct. A tamper-evident ledger, maintained as a practice rather than issued once and left to expire.
Static checks find what’s missing. The practice proves what works — and keeps proving it as the agents, protocols, and regulators change.
The longer answer is an essay — ABSENCE.md, an inventory of absences. Published twice; the second copy isn’t for you.
No borrowed logos, no manufactured testimonials. The proof we show is the proof we can stand behind today.
It would be awkward to sell agent-transaction assurance and then fail it on our own site — so strattlabs.com runs the same agent protocols we build into client paths. Point any MCP-capable agent at the endpoint: it answers tools/list, returns structured records, and routes a real request to a person.
It clears the open agent-readiness checklist, then goes past it: a live surface that proves the journey, and keeps the record. We built it because we couldn’t credibly sell production MCP servers and ship a site that ignores the protocol.
The protocol layer this page speaks isn’t speculative — as of Chrome 149 (June 2026) browsers ship native agent tooling, the WebMCP origin trial. The traffic this anticipates is already arriving.
{
"protocol": "mcp",
"server": "stratt_labs",
"tools": [
"list_services",
"list_journal_entries",
"get_journal_entry",
"get_alignment_rate_methodology",
"contact"
],
// scope: anonymous · no auth required
// hosted: EU edge runtime · EU jurisdiction
} A production-grade Model Context Protocol server for a public library system — built and maintained by Stratt Labs. A live system, running the same architectural layer and engineering standards we bring to every client engagement. Our own reference for what an MCP server looks like when it’s built correctly — and built to the 2029 test.
From the Journal · 02 Jul 2026 · latest field note
The Rails Moment Arrived. Execution Is the Last Mile.
A working journal of what real agents do on real sites — and the method that turns a stall into a receipt.
Two weeks, fixed fee. You’ll know exactly which journeys fail, at which step, and what it costs to fix them.
Looking for an MCP server or platform build instead? Tell us what you need →