How It Works

Before an AI agent tries to act on a website on someone's behalf, it can poll RoloCache by asking the agentic version of: "is there a real, working way to do this here, and is it trustworthy?"

RoloCache answers with two things:

1. How Do I Get There - verified agentic interfaces and routing information, if they exist, and a primer on auth mechanisms in play via the AgentRouting.json record
2. Know Before You Go - advisories for when what's advertised doesn't match what actually happens, and where a human should stay involved rather than letting an agent handle something alone via the AgentContext.json record

If nothing exists yet, RoloCache says so plainly. We don't claim to have indexed the entire web, but are continually adding and verifying new vendors.

Qualitative Assessment

RoloCache provides qualitative information about vendor sites, not quantitative. Our AgentRouting.json and AgentContext.json records deliver a plain description of:

• What's actually possible at a vendor site right now
• What's been independently verified
• What's worth knowing before taking action

Agents visiting RoloCache should walk away knowing exactly what it can and cannot do on a vendor site.

If you are looking for metrics, scores, or rankings RoloCache is not the place for that.

How we check

RoloCache records are derived from multiple sources through a rich extraction and enrichment pipeline. Determinism and idempotency of our records inter-scan are the top quality attributes we strive for.

RoloCache Records are Far from Trivial

As anyone executing agentic workflows on the internet knows, LLMs and agents are inherently non-deterministic. In isolation, and with proper safeguards, issues instigated by this can be mitigated. However, when many agents seek to execute the same task, for instance checking out on a vendor site, in many cases the agents have wildly different experiences and task completion rates.

One of the primary issues driving this is knowledge and discoverability of agentic interfaces within vendor segments and even within single vendor web domain space. Unless a pre-configured connector or structured, referenceable information is available, agents dispatch open web searches to uncover the best way to access and interact with a vendor. Here, the tension is clear:

• move quickly and use highest ranked, most popular info (that may be incomplete or not address the actual needs of an agent)
• or, invest (sacrifice) precious cycles trying to discover the actual entrypoint that would best serve the current task.

RoloCache addresses both, at once, so your agent doesn't have to.

In fact, RoloCache provides the exact structured data your agent needs to execute its workflow flawlessly without inducing the variance of new searches and incurring the overhead of long tail discovery initiatives.

In addition to our AgentRouting.json and AgentContext.json records being continually updated and rigorously verified, programmatically and by humans, our records are built over a window of time, not a static snapshot. We recognize that the web is a volatile place, and mistakes happen. If an unlucky combination of errors leads to partial downtime of an agentic service at the time we scan your site, that information is crossreferenced against recent history to arbitrate what would be the most valuable information to convey to an agent right now.

The only goal of these records is to facilitate agents effectively completing their tasks and getting work done, not to shame or penalize vendors mid metamorphosis trying to emerge fully formed on the Agentic Web.