Your product is agent-native. Is your website?
AI companies are building the agent side of the market, but their own websites still force agents to parse docs, pricing pages, signup flows, and enterprise handoffs like humans.
AI companies still have human-facing surfaces.
An external agent evaluating your product needs precise information and safe actions. Most AI product sites still make it scrape pages and infer intent.
Docs are scattered
Agents need a structured map of docs, examples, endpoints, SDKs, and support paths.
Pricing is ambiguous
Plans, credits, rate limits, overage rules, and enterprise routes should be legible to agent buyers.
Onboarding is not agent-safe
Agent-driven signup or API onboarding needs policy gates, approval boundaries, and an audit trail.
What Arachne can compile for AI companies.
The goal is not another chatbot. The goal is a governed interface agents can call.
If your users build agents, your website should be agent-ready too.
Arachne helps AI companies make their own public product surfaces callable, governed, and easier for agents to trust.
Quick answers
Short answers for teams evaluating agent-readiness, MCP, and hosted Shadow APIs.
Is Arachne competing with agent products?
Do we need to change our codebase?
Why would a technical company use this?
Start with the score. Then decide if Arachne should compile the interface.
Free readiness snapshot, paid report, or selected design partner pilot.