National Bid and Tender Query and Enterprise Insight
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About this skill
Addressing Pain Points in Bid and Tender Information Query
In the bid and tender market, enterprises often grapple with scattered data and low query efficiency, making it hard to quickly access nationwide bidding announcements, winning results, and contract information. Traditional methods rely on manual filtering or generic searches, failing to conduct deep enterprise profiling analysis, such as historical win trends, regional distribution, or business direction insights. This hinders market opportunity assessment, competitor monitoring, and procurement strategy optimization. This skill provides precise querying and insight capabilities by directly connecting to Shibo Technology's extensive bid and tender database via structured API interfaces.
Core Workflow of the Skill
This skill is designed around reusing Shibo Technology's industry-wide bid and tender data API, with key steps as follows:
- Extract Query Parameters: Identify critical elements from user questions, such as region, industry, keywords, procurement unit, amount range, and time range, supporting natural language input.
- Invoke Appropriate Interfaces: Select interfaces based on needs, for example, using SearchProjectForAI for natural language queries or searchProjectApi for structured searches; detail retrieval is done via getZTBStructreDetail.
- Analyze and Return Results: First output a brief conclusion, stating the number of hits and main findings, then list project tables (including fields like project name, procurement party, winning amount), and finally provide next-step suggestions, such as expanding the time range or subscribing to similar opportunities.
Core capabilities include: bid and tender information search (covering stages like procurement intent, bidding announcements, winning results), enterprise deep insight (analyzing procurement unit or supplier profiles), contract data verification (verifying parties, amounts, and performance periods), and data source tracing (obtaining original announcement links via getCollectUrl). With a data scale of 330 million+ entries and daily updates of 300,000+ entries, it ensures query timeliness and comprehensiveness.
Applicability Boundaries and Considerations
- Data Coverage: This skill only utilizes Shibo Technology API, without adding vertical industry-specific interfaces like healthcare or education; data covers nearly 10 years nationwide with 78 structured fields, but query results are subject to API balance limits.
- Query Rules: When conditions are unspecified, defaults to nationwide data from the last 30 days (expandable to 90 days for opportunities); add exclusion terms like
recruitmentortrainingif results are too broad. - Accuracy Assurance: Returned fields such as amounts, contacts, and source URLs must be presented as-is, with no fabricated information; AI-generated search conditions rely on the
aiSearchSubmitPollinginterface, achieving 99.99% accuracy. - Balance Handling: When the API returns error code
0100590006, prompt users to recharge through designated channels, stop calling, and avoid automatic retries or loops. - Functional Limits: It does not guarantee winning bids, evade rules, or provide private deployment support, focusing solely on querying and analysis; users are advised to contact sales for packages or field export services.
Use Cases
- Search for education-sector bidding announcements with conditions like “school”, “Beijing”, and “last 30 days” using `searchProjectApi`, filtering projects with budgets over 5 million yuan.
- Use natural language such as “query a company's winning projects in the last year sorted by amount” via `SearchProjectForAI` to automatically generate search conditions and retrieve results.
- Fetch details for a specific project number through `getZTBStructreDetail` to analyze the procurement unit's historical clients and winning amount distribution, building a procurement preference profile.
- Verify contract announcements for a winning bidder using `searchProjectContactApi`, checking parties, amounts, and performance periods against bidding requirements.
Best For
- Enterprise bidding department manager: Needs to monitor competitors' winning dynamics and analyze regional procurement trends to adjust bidding strategies and client development focus.
- Market analyst: Studies bidding amount distribution in specific industries like healthcare or energy over the last 90 days, identifying high-value projects and evaluating market opportunities.
- Procurement specialist: Queries historical winning results for “smart campus equipment procurement” projects, comparing supplier quotes and performance to aid procurement decisions.
- Business intelligence team: Uses enterprise profiling to analyze procurement units' top suppliers, discovering potential collaborations or shifts in competitors' business directions.
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