National Bidding & Tender Query and Enterprise Analysis

The Problem It Solves

For businesses, analysts, or developers needing insights into the bidding and tender market, the core challenges are: fragmented information across countless platforms making comprehensive collection difficult; overwhelming data volumes that render manual screening and analysis inefficient; and the complexity of swiftly understanding a company's market presence, client networks, or industry involvement, which often requires piecing together data from multiple sources like business registrations, contracts, and projects.

How the Skill Works

This skill provides API-based access to a nationwide database of bidding, tender, contract, and planned/construction project information, with a daily update volume exceeding 300,000 records. It integrates enterprise profiling and AI-assisted processing capabilities, abstracting the underlying complexity of data collection and cleaning into a clear interface layer.

Core Capabilities and Key Steps

• Bidding & Tender Search and Tracking: Interfaces like searchProjectApi and SearchProjectForAI support searching via keywords (using space for "AND" logic, | for "OR"), region, industry, time, amount, and corporate roles (e.g., partAName for buyer, partBName for winner). The full lifecycle of a single project can be traced using getProjectByProjectNumber to link all related announcements.
• In-Depth Enterprise Profiling: companyProfileSummary provides a snapshot of business fundamentals and bidding statistics. Further calls to companyProfileContacts, companyProfileCustomers, and companyProfileSuppliers yield paginated lists of contacts, clients, and suppliers, each linked to specific projects.
• Early-Stage Project Identification: Use searchNZJProjectApi to find planned/construction projects at an early stage, and getNZJProjectDetail to access full details, enabling pre-bid opportunity identification.
• AI and Structured Processing: aiSearchSubmitPolling rewrites natural language queries into standardized parameters. The ztbAiStructureInfo interface, compatible with ChatGPT message formats, extracts key fields (like parties, amounts) from announcement text. projectDiscrimination judges whether a text segment represents valid project information.

Scope and Constraints

• Nature of Data: The API returns publicly available information. Client/supplier relationships in the enterprise profile reflect historical project collaborations and do not imply equity holdings, control, or exclusive partnerships.
• Analysis Boundaries: APIs return factual data. Any secondary calculations (e.g., market share) should explicitly state the data coverage and calculation methodology. Do not make completeness claims without retrieving full paginated datasets.
• Technical Constraints: Each API has its own pagination rules and limits (e.g., enterprise contacts are limited to 5 per page). A search using companyName only indicates that the company participated in bidding; use getZTBStructreDetail to confirm its specific role (buyer/winner) in the project.
• Compliance: Ensure that subsequent use of retrieved contact information complies with relevant privacy and communication regulations.