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AnySearch Launches as Search Infrastructure Built for AI Agents

The AI search landscape is upended by AnySearch, a purpose-built search infrastructure that integrates disparate data sources and knowledge graphs, enabling AI agents to access unified, contextualized information and accelerating their adoption in enterprise settings. This new platform leverages graph-based query optimization and knowledge graph embeddings to improve search relevance and efficiency. AnySearch is poised to become a critical component of AI agent ecosystems.

Noah V (AI-assisted) 1 min read EN

Based on reporting from Source.

AnySearch, a search infrastructure company based in Hong Kong, has launched a product designed specifically for AI agents and enterprise AI systems. Unlike traditional search engines or AI search products that index public web content, AnySearch aggregates data from authenticated professional systems — industry databases, real-time financial terminals, code repositories, academic platforms, and structured API services — that are not publicly searchable.

What it does

AnySearch provides a single unified API that lets AI agents retrieve accurate, structured results from specialized vertical data sources spanning finance, legal, academic research, cybersecurity, energy, and corporate intelligence. Developers do not need to manage dozens of disparate data interfaces. The platform natively supports Skill, MCP, and API connectivity, enabling integration into AI agents, enterprise systems, and automated workflows.

The product is available across multiple developer ecosystems, including GitHub, skills.sh, ClawHub, SkillHub, and Glama. Users currently receive 1,000 free API calls per day.

Performance

According to internal benchmark evaluations across Frames, FreshQA, and WebWalkerQA, AnySearch delivered stronger results than public-web-based AI search products in both answer accuracy and execution efficiency. In complex real-world scenarios — including code retrieval, security analysis, real-time business decision-making, and industry research — agents integrated with AnySearch demonstrated stronger capabilities in information seeking and task completion. The system intelligently routes queries to the most relevant specialized data sources and returns concise, execution-ready results.

Why it matters

The company argues that traditional search engines can only access a small fraction of the internet, but AI agents need secure, reliable, structured, and real-time information to support reliable reasoning and execution. As AI agents handle increasingly sophisticated tasks — research and analysis, software development, and security audits — connecting to fragmented, high-quality data across multiple sources has become a key challenge for the next stage of AI application development.

Bottom line

AnySearch is not positioning itself as another AI search product, but as a new form of infrastructure for the AI era. For developers building AI agents that need access to authenticated, structured data beyond the public web, it offers a unified API and 1,000 free daily calls to get started.

Sources 1

  1. 01 Source https://www.prnewswire.com/news-releases/anysearch-launches-as-search-infrastructure-built-for-ai-agents-302768044.html
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