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Tender Union Big Data Aggregation Analysis icon

Tender Union Big Data Aggregation Analysis

Data Analysis Updated 2026.08.30

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About this skill

Problem

Tender and bid records are fragmented across announcements, and keywords, company entities, brand models, and announcement stages are hard to normalize. Market research often needs month, region, top purchasers/suppliers, brand share, and price ranges instead of manual paging.

How It Works

  • Calls the mcp-server.zhiliaobiaoxun.com API with POST requests and ZLBX_API_KEY authentication.
  • search_bids and query_bids_advanced support filtering by region, amount, date, match_modes, and combined keywords; exclude_keywords removes noise such as repair or consumables.
  • search_company, find_competitors, and get_company_partners structure company, supplier, customer, and competitor signals.
  • aggregate_bids_advanced, get_top_brands, and get_price_trends support aggregated statistics, brand share, and historical unit-price trends.

Boundaries

Best for queries with a known category, region, company, or brand. For deeper diligence, combine official websites, credible media, and policy sources. Treat API quota, device binding, or top-up flows as credential-based operations, not general web crawling.

Use Cases

  • Summarize 12-month bid amounts, province distribution, and year-over-year changes for a server category before a monthly business review.
  • Research a target client’s recent tenders, find projects published by company A, and exclude repair or consumables noise.
  • Analyze competitor pricing by querying historical unit-price ranges for a brand model and comparing top supplier share.
  • Build a due-diligence pack with a target company’s bid records, clients, suppliers, and competitors based on overlapping tenders.

Best For

  • Industry analysts who need category, province, and monthly market size and concentration analysis.
  • Bid managers who need to track client tenders, past suppliers, and competitors before pricing.
  • Market strategists who need brand share, model price trends, and top purchasers.
  • Corporate intelligence researchers who need structured company, partner, client, and competitor reports.