> For the complete documentation index, see [llms.txt](https://docs.slinky.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.slinky.network/start-here/introduction-to-slinkylayer.md).

# Introduction to SlinkyLayer

SlinkyLayer is a private interface for working with AI models and specialist tools from one conversation. Users can ask a question, search the live web, conduct deeper research, examine markets, query blockchain data, and prepare onchain actions without managing separate provider accounts, API keys, or subscriptions.

When a request needs an external tool, SlinkyLayer prepares a focused version of the task instead of forwarding the entire conversation. Unrelated messages and identity information are excluded by default, and outbound requests are routed through Tor. The selected provider receives the information required to complete the task, but not the user’s direct network origin or full conversation history.

Tools are available through a growing network and can be discovered as they come online. Paid resources use x402, allowing users and agents to pay for individual requests rather than maintaining subscriptions or prepaid balances with each provider. Prices and payment requirements are presented as part of the request flow.

SlinkyLayer does not claim that every interaction is anonymous. A tool must still receive the information needed to answer a question, and activity submitted to a public blockchain remains visible onchain. The goal is practical privacy: disclose less, limit what each provider receives, and give users clearer control over when data is shared, money is spent, or an action is performed.

SlinkyLayer is currently in Public Beta. The interface, tool network, supported capabilities, pricing, and request formats will continue to develop as new providers and use cases are added.