DomScan: Internet Intelligence for Products and Agents

Research Context and Background

DomScan is a platform that turns public internet signals into actionable decisions. It acts as a unified API for collecting web content, understanding domains and infrastructure, assessing security and identity signals, and monitoring important changes. The platform allows users to start with a specific decision they need to make and connects related products into a practical path to achieve it. DomScan offers six connected product suites, allowing users to choose a focused product for a single question or combine suites when a decision requires broader evidence. Each response includes observed data, uncertainty levels, timestamps, and relevant limits to ensure downstream logic can make deliberate choices.

Benefits

DomScan provides several key advantages for teams that need to make decisions based on internet signals. It offers a unified platform with multiple product suites, enabling teams to move from exploration to production without rebuilding decision models around separate catalogs. The platform distinguishes between observed, absent, unknown, not requested, and unsupported outcomes. This transparency ensures that the platform provides explainable internet evidence, helping teams understand the certainty of the data returned. DomScan supports Model Context Protocol integration, allowing users to connect the platform to AI tools like Claude, ChatGPT, Cursor, or any MCP-compatible AI. This enables instant domain intelligence with a single configuration. The platform operates on a credit-based system where users start with the decision they need to make and then price the operations accordingly. A focused check can cost one credit, while more complex operations consume credits based on the published cost of the work requested.

Use Cases

DomScan is used by teams that need to make decisions based on internet signals. Common scenarios include checking if a specific domain is available or registered and suggesting alternatives if not. Users can evaluate the security posture and reputation of a domain before engagement. The platform also helps in understanding the technical setup of a target domain for security or development purposes. Another use case is confirming the organization behind a domain to ensure legitimacy. By providing a unified platform with multiple product suites, DomScan enables teams to handle tasks like domain availability checks, security assessments, infrastructure mapping, and identity verification efficiently.

Pricing

The platform operates on a credit-based system where users start with the decision they need to make and then price the operations accordingly. A focused check can cost one credit. More complex operations, such as rendering, deep analysis, multi-product recipes, and larger jobs, consume credits based on the published cost of the work requested.

Vibes

DomScan is designed to provide clear and transparent data. It distinguishes between observed, absent, unknown, not requested, and unsupported outcomes. This transparency ensures that the platform provides explainable internet evidence, helping teams understand the certainty of the data returned. The platform supports integration with popular AI tools, making it accessible and versatile for various use cases.

Additional Information

DomScan supports Model Context Protocol integration, allowing users to connect the platform to AI tools like Claude, ChatGPT, Cursor, or any MCP-compatible AI. This enables instant domain intelligence with a single configuration. Users can add DomScan to their configuration files to enable natural language queries about domain availability and alternatives.