Arlong
A web search and research API for AI agents that returns cited, screened evidence instead of raw web content.
Developer Tools·AI & Machine Learning·Security
What is Arlong?
Arlong is a web search and research API for AI agents, available through REST and MCP. It retrieves live web sources, screens untrusted content for prompt injections, and returns structured evidence for the agent's task. Agents can find a source, read the page, and receive a cited summary, with the option to keep useful evidence and isolate detected hostile instructions where possible.
The product is aimed at developers and teams building AI agents that need current web information without passing unvetted page content straight into the agent's context. Developers can connect Arlong through the API or MCP, or try it first in the Playground.
Arlong separates web content from permission to act. Its research pipeline gathers source evidence, checks coverage, and looks for supporting or conflicting evidence. The documentation notes that a source link alone does not verify a claim, and that syndicated copies should not count as independent confirmation. Arlong Screen can also be used on its own with other search APIs, accepting text, HTML, or supported public URLs.
Arlong is clear about its limits. Screening is described as a protective layer with measured limitations, not a guarantee that prompt injection cannot reach an agent. Allowed content is still treated as untrusted evidence, and the vendor recommends limiting agent permissions and requiring authorization for sensitive actions.
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