AnySearch - A real-time structured search engine built for AI Agents

What is AnySearch

AnySearch is a real-time structured search engine built specifically for AI Agents, accessible via API, MCP, and Skill. The product covers general web pages and over 20 vertical domain data sources, including code, legal, academic, and financial, and uses intelligent intent recognition and multi-source parallel retrieval to provide Agents with more real-time, accurate, and traceable structured information input, outperforming Brave Search and Parallel in both accuracy and latency.

AnySearch's main features

• Intelligent intent recognition: Automatically determines the query domain and matches the optimal data path (business registration, patents, GitHub, market data, etc.).
• Multi-source parallel retrieval: Simultaneously initiates multiple search paths, prioritizing high-quality results and reducing Agent waiting time.
• Vertical domain coverage: Integrates over 20 vertical data sources, including code repositories, legal documents, academic platforms, financial data, and more.
• Structured output: Delivers filtered, valid information, removes ads and SEO spam, and reduces context redundancy.
• Real-time data tracking: Supports queries for highly time-sensitive information such as the latest news, real-time electricity prices, and inventory data.
• Source deduplication and cross-validation: Compares multiple sources, prioritizes the latest news, and prevents outdated information from misleading the Agent.

How to use AnySearch

• Get an API Key: Visit the AnySearch official website https://www.anysearch.com/，注册账号并获取 API key.
• Choose an access method: Integrate into the Agent workflow via REST API, MCP Server, or anysearch-skill.
• Install the Skill: Search for and enable anysearch-skill in an Agent platform that supports Skills (such as LobsterAI).
• Configure the runtime environment: Ensure the Python environment is installed, and check the runtime.conf configuration file before running the script.
• Initiate a query: Call the search interface, enter a natural language question, and the system automatically completes intent recognition and multi-source retrieval.
• Receive structured results: The Agent directly obtains filtered structured data without needing to clean web page content again.

AnySearch's core advantages

• Designed specifically for Agents: Unlike search engines for humans, it directly delivers structured, consumable data.
• Vertical data depth: Connects to exclusive data sources beyond web pages (such as enterprise business registration databases and EIA energy data), providing more comprehensive information.
• Local information advantage: In scenarios such as Chinese enterprise due diligence and compliance records, information coverage is significantly better than overseas engines (such as Exa).
• Low latency and high accuracy: In the Frames/FreshQA/WebwalkerQA 300-question benchmark test, the overall accuracy is 76.4%, and the average latency is only 48ms, both the best.
• Saves more Tokens: Filters redundant information and reduces the context cost of Agents reading full texts.

AnySearch's project address

• Project official website：https://www.anysearch.com/
• GitHub repository：https://github.com/anysearch-ai

Comparison of AnySearch with similar competitors