About Us
Shanghai Wind Credit Service Co., Ltd. ("Wind Credit Service") is a specialized institution under the Wind group focused on enterprise credit reporting and credit technology services. Leveraging Wind's extensive expertise in financial data, enterprise data, and industry data, Wind Credit Service serves financial institutions, government agencies, and enterprise clients with products such as Wind Risk and Wind Enterprise Library (GEL). We provide enterprise credit information, risk analysis, due diligence, and continuous monitoring services, helping clients gain a comprehensive understanding of enterprise operations and improve the efficiency of credit risk identification and management.
Wind Credit Service continues to build an enterprise credit data system covering basic enterprise information, equity relationships, business and financial data, risk events, public opinion dynamics, and industry chain relationships. Through the integration, updating, and tracking of multi-source data, we help clients verify enterprise entities, map affiliated relationships, and uncover risk clues, providing complete, timely, and traceable data and analytical support for business onboarding, credit assessment, due diligence, supplier management, and continuous risk monitoring.
As large language models and agent technologies accelerate their entry into professional business scenarios, Wind Credit Service is transforming enterprise credit data and analytical tools into standardized capabilities callable by intelligent agents through MCP services, and codifying credit business methodologies, rules, and workflows through professional Skills. Building on this foundation, intelligent agents can understand users' business needs, invoke relevant data and tools on a task-by-task basis, and assist in generating analysis results with verifiable sources and traceable processes. Wind Credit Service will continue to drive the integration of enterprise credit data, professional capabilities, and agent technology, exploring more efficient and reliable human-machine collaborative credit service models.