AnySearch is search infrastructure for AI agents. It gives an agent one entry point to search many vertical data sources, returning structured results that the agent can act on, with anonymous access, no tracking and zero telemetry. AnySearch is offered through a REST API, an MCP server and a Skill, and is aimed at developers building agents, automated workflows and AI applications that need current, verifiable information.
A developer gets an API key, then integrates by choosing MCP, Skill or API. The MCP setup is a prompt pasted into an agent such as Claude Code, VS Code or Cursor, which installs the AnySearch MCP from a guide URL. The API has three endpoints: POST v1/search for real-time web results, POST v1/extract for structured page content, and GET v1/sub-domains to discover related subdomains of a target domain. Smart intent routing picks the data sources for each query automatically.
Results come back as structured output designed to reduce token waste, drawn from 20+ vertical domains that range from professional depth to everyday breadth. AnySearch publishes its own benchmarks against Brave and Parallel on Frames, FreshQA and WebwalkerQA, 300 questions in total with z-ai/glm-5.1 as the model, reporting 76.4% overall accuracy and 47.8s average end-to-end latency. Scenario comparisons cover security alert analysis, open-source code search, business travel, competitive research and public health queries.
The Free plan costs $0/mo and allows 1,000 calls a day at up to 10 QPS with basic data from 20+ vertical domains on the standard architecture. Pro is priced per 1,000 calls at $3.00, with stackable quota that never expires, up to 20 QPS, Pro sources and a high-performance architecture. The Enterprise plan, arranged through contact with sales or a trial application, adds custom usage limits, enterprise-grade security and compliance, a dedicated account manager and priority support.
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