Digital Government Domestic IT Procurement Analytics

Problem

For IT vendors and integrators working on xinchuang procurement, the pain is rarely access; it is query precision. Bid announcements often blur the roles of caller, winner, and tender. Brand and model share, historical unit prices, and purchaser behavior are scattered across titles, product fields, and supplier records, so competitive analysis becomes manual work.

How It Works

The skill organizes procurement analysis around the mcp-server.zhiliaobiaoxun.com/api_v2 bid data set and splits the workflow into search, company, and market tasks:
- Bid search: use search_bids, query_bids_advanced, and get_bid_detail with keywords, exclusions, and bid_process stages to pull purchase intent, tender, award, and contract signals.
- Company analysis: use find_competitors, get_company_partners, and get_company_business_keywords to identify an integrator's main categories, partners, and overlapping bidders.
- Market comparison: use get_top_brands, get_price_trends, and get_top_purchasers to compare domestic brand share, historical pricing, and key digital-government buyers.
When querying, choose match_modes carefully: caller for a purchaser's projects, winner for awards, and tender for bid participation. For complex logic, combine keyword_groups with exclude_keywords.

Boundaries

It fits digital government, xinchuang, servers, databases, operating systems, cloud, cybersecurity, and software integration procurement intelligence. It is not a substitute for non-procurement market intelligence. For trend forecasts, policy impact, and company strategy, treat bid data as the primary source and supplement it with public web research.