Corporate Database 'Compalyze' Announces Major Update
Compalyze, operator of the corporate database 'Compalyze', has launched a major service update. The highlight is official support for the Model Context Protocol (MCP), allowing AI clients like Claude and ChatGPT to directly access the database. This enables AI agents to autonomously retrieve reliable primary source information within business workflows. Additionally, the database has significantly expanded its coverage, including registration history, government procurement, and negative information.
📋 Article Processing Timeline
- 📰 Published: May 28, 2026 at 10:10
- 🔍 Collected: June 1, 2026 at 00:52 (86h 42m after Published)
- 🤖 AI Analyzed: June 1, 2026 at 23:54 (23h 1m after Collected)
Compalyze Inc. (Headquarters: Kusatsu, Shiga; CEO: Takashi Suzuki), operator of the corporate database 'Compalyze', has implemented a major update to its service.
Key Highlights:
Official MCP Support: Compalyze can now be directly referenced by AI clients such as Claude, Cursor, and ChatGPT, providing reliable primary source data for AI-driven corporate research.
Expanded Data Coverage: Continuous expansion of data including registration history, M&A lineage, government procurement, IP, funding, and negative information such as administrative sanctions.
Support for 'toA' (to Agent): Enabling AI agents to call upon the database as a data source within business workflows, rather than just human-led browser searches.
Background:
While generative AI has improved research efficiency, issues like unclear sources and hallucinations persist. Compalyze aggregates scattered public information to provide a chronological view of corporate changes.
Update 1: MCP Integration
Users can connect Compalyze to Claude Desktop, Cursor, or ChatGPT to retrieve corporate data directly. AI can autonomously handle natural language requests like 'List SaaS companies in Tokyo that recently raised funds' and provide answers with citations.
Update 2: Data Expansion
As of May 2026, the database includes 5.8 million corporations, 2.3 million registration records, 3.7 million news/PR items, and 28 million IP records, among others.
CEO Comment:
CEO Takashi Suzuki stated, 'The reason AI often fails to speak accurately about Japanese companies is not due to AI capability, but the lack of a proper database. Compalyze aims to provide a primary information infrastructure that both AI and humans can reference.'
Future Outlook:
Compalyze plans to continue expanding registration history, enhance the MCP toolset, connect with international corporate data, and establish itself as the standard data infrastructure for AI agents handling corporate information.
Key Highlights:
Official MCP Support: Compalyze can now be directly referenced by AI clients such as Claude, Cursor, and ChatGPT, providing reliable primary source data for AI-driven corporate research.
Expanded Data Coverage: Continuous expansion of data including registration history, M&A lineage, government procurement, IP, funding, and negative information such as administrative sanctions.
Support for 'toA' (to Agent): Enabling AI agents to call upon the database as a data source within business workflows, rather than just human-led browser searches.
Background:
While generative AI has improved research efficiency, issues like unclear sources and hallucinations persist. Compalyze aggregates scattered public information to provide a chronological view of corporate changes.
Update 1: MCP Integration
Users can connect Compalyze to Claude Desktop, Cursor, or ChatGPT to retrieve corporate data directly. AI can autonomously handle natural language requests like 'List SaaS companies in Tokyo that recently raised funds' and provide answers with citations.
Update 2: Data Expansion
As of May 2026, the database includes 5.8 million corporations, 2.3 million registration records, 3.7 million news/PR items, and 28 million IP records, among others.
CEO Comment:
CEO Takashi Suzuki stated, 'The reason AI often fails to speak accurately about Japanese companies is not due to AI capability, but the lack of a proper database. Compalyze aims to provide a primary information infrastructure that both AI and humans can reference.'
Future Outlook:
Compalyze plans to continue expanding registration history, enhance the MCP toolset, connect with international corporate data, and establish itself as the standard data infrastructure for AI agents handling corporate information.
FAQ
Can I search for Taiwanese companies on Compalyze?
Currently, the database focuses on Japanese corporate information, but connecting with international corporate data is part of the future roadmap.