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National Procurement Data Center Caizhaowang icon

National Procurement Data Center Caizhaowang

Data Analysis Updated 2026.08.29

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About this skill

Problem

Procurement and sales analysis often fails because records are findable but not precise: queries must separate a company's role as buyer, winner, or bidder; combine product keywords; exclude maintenance or consumables; rank top buyers and brands; and track expiring projects. Manual search struggles with stable AND/OR logic and competitor relationships.

How It Works

The skill calls Caizhaowang api_v2 endpoints over POST, organized into three groups:
- Bid search: search_bids, query_bids_advanced, get_bid_detail, and search_expiring_projects filter by keywords, region, amount, date, and announcement stage.
- Company analysis: search_company resolves headquarters and subsidiaries; find_competitors measures bid overlap; find_potential_bidders recommends historical suppliers.
- Market analysis: get_top_purchasers, get_top_suppliers, get_top_brands, and get_price_trends show demand, winning vendors, brand/model share, and price history.
Use match_modes for role-based search: caller for a company's issued bids, winner for wins, and tender for bids. Combine keywords, keyword_groups, and exclude_keywords for complex logic, and use page plus page_size for pagination.

Boundaries

A valid ZLBX_API_KEY is required; if absent, the workflow follows the documented prompt and does not execute requests automatically. The skill is best for queries over Caizhaowang-indexed records, not unpublished, private, or real-time internal data. For strategy or policy analysis, treat bid data as primary and supplement with official sites, reliable media, and policy pages.

Use Cases

  • Sales checks client's recent issued, won, tendered projects.
  • Pre-sales filters product bids and ranks top buyers.
  • Analysts track brand price trends and top winning suppliers.
  • Deal teams scan expiring projects for renewal leads.

Best For

  • Sales: find client bids and prepare follow-up strategy.
  • Pre-sales: search product bids and top buyers.
  • Analysts: analyze price trends and supplier rankings.
  • Deal teams: scan expiring projects and potential suppliers.