National Bid Query and Enterprise Profile

The Specific Problem

Businesses rely on bidding data for market analysis, tender strategies, and supply chain management to identify opportunities, evaluate competitors, and understand procurement trends. However, national bidding information is fragmented across numerous procurement websites, making manual queries time-consuming and lacking comprehensive coverage. For instance, quickly obtaining a list of high-value projects in a specific industry over 90 days or analyzing a procurement unit's supplier network is inefficient with traditional methods and lacks structured data for deep insights.

Core Capabilities and Workflow

This skill leverages the Shibo Technology all-industry bidding data API for structured queries and analysis. Key capabilities include:
- Data Scale: Accumulated 3.3 billion+ bidding records, covering nearly 10 years nationwide and cross-industry data, with real-time updates of 300,000+ entries daily for timeliness.
- Structured Fields: Provides 78 advanced fields such as procurement_unit, winning_bidder, amount, and contact_person, enabling multi-dimensional filtering.
- AI-Assisted Search: Uses the SearchProjectForAI interface to convert natural language queries into executable search conditions, e.g., generating search parameters for "Beijing school smart campus equipment procurement".

The workflow follows standard steps:
1. Extract Query Conditions: Identify regions, industries, keywords, and time ranges from user questions. Defaults apply if unspecified (nationwide for area, last 30 days for time).
2. Call Search Interfaces: Prioritize searchProjectApi or SearchProjectForAI to fetch project lists.
3. Retrieve Detailed Information: Use getZTBStructreDetail for structured data or getZTBProjectDetail for announcement text.
4. Output Analysis: Start with a summary of hit counts and key findings, list projects in a table (including name, purchaser, amount, etc.), and suggest next steps like expanding timeframes or subscribing to similar opportunities.

Applicable Scenarios and Considerations

This skill suits queries for tender announcements, winning results, contract notices, and enterprise profiling. Examples include:
- Filtering high-value projects by amount range.
- Tracking top suppliers for a procurement unit.
- Analyzing competitor bidding dynamics.

Considerations:
- Only specified interfaces like searchProjectApi and aiSearchSubmitPolling are used; no unauthorized calls.
- API keys are managed via environment variable BBIAO_API_KEY; balance insufficiency prompts users to purchase packages without automatic retries.
- Results are based on API data without speculative fabrication. If results are scarce, synonyms are expanded or conditions relaxed, with explanations provided in responses.