Autonomous agents increasingly interact with the web, yet most websites remain designed for human browsers – a fundamental mismatch that the emerging ``Agentic Web’’ must resolve. Agents must repeatedly browse pages, inspect DOMs, and reverse-engineer callable routes – a process that is slow, brittle, and redundantly repeated across agents. We observe that every modern website already exposes internal APIs (sometimes called

shadow APIs

) behind its user interface – first-party endpoints that power the site’s own functionality. We present Unbrowse, a shared route graph that transforms browser-based route discovery into a collectively maintained index of these callable first-party interfaces. The system passively learns routes from real browsing traffic and serves cached routes via direct API calls. In a single-host live-web benchmark of equivalent information-retrieval tasks across 94 domains, fully warmed cached execution averaged 950,ms versus 3{,}404,ms for Playwright browser automation (3.6

mean speedup, 5.4

median), with well-cached routes completing in under 100,ms. A three-path execution model – local cache, shared graph, or browser fallback – ensures the system is voluntary and self-correcting. A three-tier micropayment model via the x402 protocol charges per-query search fees for graph lookups (Tier~3), a one-time install fee for discovery documentation (Tier~1), and optional per-execution fees for site owners who opt in (Tier~2). All tiers are grounded in a necessary condition for rational adoption: an agent uses the shared graph only when the total fee is lower than the expected cost of browser rediscovery.