Ontario audits AI assistant, MCP, tool-calling, and x402 payment surfaces so a company can see what an agent can access, what it can spend, what evidence exists, and which gates must fail closed before production use.
Which servers, tools, scopes, prompts, and data sources an AI assistant can reach. The output is an owner-readable map, not a vague AI policy memo.
Whether spend-capable endpoints fail closed, expose readable payment metadata, and keep evidence an agent can store before and after payment.
A practical review artifact for leadership, procurement, or security review: observed behavior, risk flags, and the exact fixes to make before launch.
One URL, one short finding summary, and a yes/no on whether a deeper audit is useful.
Review 1-3 tools or one MCP server. Deliver an inventory, risk flags, and remediation checklist.
For teams building or buying agent workflows that can call paid APIs, settle x402 payments, or trigger financial actions.
DKK 75,000+ for multi-team procurement, vendor review, and repeat evidence packs. This is not a legal certification or safety guarantee; it is a structured technical evidence package that helps decision-makers see what is observable, what is missing, and what must be controlled.
Search Console currently shows technical impressions but no clicks. The live rail proves x402 can settle, yet the paid-call counter is not a business by itself. Danish companies already adopting AI can understand a trust audit today, even if they do not search for x402 yet.
Using Statistics Denmark's 414,663 active enterprises and Eurostat's 42.03% Danish AI-adoption figure as a directional signal, 0.1% of AI-using enterprises buying one DKK 25,000 audit would imply about DKK 4.35M. That is not a forecast: it mixes different enterprise definitions and needs sales validation.
The practical first target is smaller: 10 Danish founder-led AI teams, agencies, SaaS companies, and IT consultancies that already have tool-calling or MCP workflows.