AI Tender Bid Analyst

Problem

Tender analysis often starts with concrete questions: what a buyer is procuring, which supplier has won similar projects, how a product category's price has moved, or who a company's main competitors and partners are. These facts are scattered across bid announcements, company profiles, contact records, and historical award data, making manual review slow and hard to structure.

How it works

ai-tender-bid-analyst uses the zhiliaobiaoxun.com tender-information API as the data layer and coordinates 16 tools for analysis. Bid search relies on tools such as search_bids, query_bids_advanced, and get_bid_detail; company analysis uses search_company, get_company_profile, and find_competitors; market analysis uses get_top_purchasers, get_top_suppliers, and aggregate_bids_advanced. Key controls include match_modes, keywords, keyword_groups, exclude_keywords, and bid_process, which determine whether queries target the purchaser, winner, bidder, announcement stage, or complex keyword logic. For broader market or company research, WebSearch can supplement official sites, news, and policy sources, while objective tender data remains the primary evidence.

Boundaries

The skill is intended for bid search, opportunity forecasting, company diligence, and industry briefings. It should not replace contract review, legal diligence, or financial audit. If ZLBX_API_KEY and local config.json are not configured, trial account setup requires explicit user consent. When API responses return INSUFFICIENT_BALANCE, QUOTA_EXCEEDED, or RATE_LIMITED, check quota source, limits, and request frequency.