AnySearch - A real-time structured search engine designed specifically for AI agents

What is AnySearch?

AnySearch is a real-time structured search engine designed specifically for AI agents, accessible via API, MCP, and Skill. The product covers general web pages and data sources from over 20 vertical sectors, including code, law, academia, and finance. Employing intelligent intent recognition and multi-source parallel retrieval, it provides agents with more real-time, accurate, and traceable structured information input, outperforming Brave Search and Parallel in both accuracy and latency.

Main functions of AnySearch

• Intelligent Intent RecognitionAutomatically determines the query domain and matches the optimal data path (business registration, patents, GitHub, market data, etc.).
• Multi-source parallel retrievalSimultaneously initiate multiple search paths, prioritize returning high-quality results, and reduce agent waiting time.
• Vertical domain coverageIt integrates more than 20 vertical data sources, including code repositories, legal documents, academic platforms, and financial data.
• Structured outputDeliver filtered, valid information, remove advertising and SEO spam, and reduce contextual redundancy.
• Real-time data trackingSupports querying timely information such as the latest news, real-time electricity prices, and inventory data.
• Source deduplication and cross-validationMulti-source comparison prioritizes the push of the latest information to avoid misleading agents with outdated information.

How to use AnySearch

• Get API KeyVisit the AnySearch website https://www.anysearch.com/, register an account, and obtain an API key.
• Select access methodIt can be integrated into the Agent workflow via three methods: REST API, MCP Server, or anysearch-skill.
• Install SkillSearch and enable anysearch-skill on an Agent platform that supports Skills (such as LobsterAI).
• Configure the runtime environmentEnsure that the Python environment is installed and check the runtime.conf configuration file before running the script.
• Initiate a queryCall the search interface, input a natural language question, and the system will automatically complete intent recognition and multi-source retrieval.
• Receive structured resultsThe agent directly obtains the filtered structured data without needing to clean the webpage content again.

AnySearch's core advantages

• Designed specifically for AgentsUnlike human-oriented search engines, it directly delivers structured, consumable data.
• Vertical data depthConnect to dedicated data sources outside of web pages (such as business registration databases and EIA energy data) for more comprehensive information.
• Local information advantageIn scenarios such as due diligence and compliance records for Chinese companies, the information coverage is significantly better than that of overseas search engines (such as Exa).
• Low latency and high accuracyIn the Frames/FreshQA/WebwalkerQA 300-question benchmark test, the overall accuracy was 76.4% and the average latency was only 48ms, both of which are optimal.
• Tokens are more economicalFilter redundant information to reduce the context cost for the Agent to read the full text.

AnySearch's project address

• Project official websitehttps://www.anysearch.com/
• GitHub repositoryhttps://github.com/anysearch-ai

AnySearch's Competitive Comparison