Qichacha Agent Platform
Qichacha is an enterprise data platform for AI agents. It integrates mainstream AI tools through MCP and provides enterprise data tools for industrial and commercial, risk, intellectual property and business operations, used for due diligence and business intelligence.
Updated: 2026-10-26
What is Qichacha Agent Platform?
The Qichacha Agent Platform is an enterprise data base launched by Qichacha for AI Agents. Officially, it is stated that it is built based on the Agent-Native concept. It is designed to eliminate hallucination problems of large models such as misidentifying entities, fabricating information out of thin air, and misjudging due to expired or empty data interpretations, and to provide real-time, accurate and auditable real data. The platform is integrated into mainstream AI tools like WorkBuddy, TraeWork, QwenWork, and DeepSeek Harness in the form of MCP. Users can query the full-dimensional data of an enterprise with one sentence during AI conversations. According to the official website, it has launched SKILLs for multiple industries and provided more than 200 tools.
Who is it for?
- Customer managers, risk control and compliance personnel at banks and financial institutions: They need to conduct KYB, credit due diligence and anti-money laundering screening.
- Investors and Financial Advisors: Need to conduct initial project screening and create one-page company profiles.
- Legal professionals and lawyers: They need to verify the subject qualification and business status of the counterparties in contracts.
- Procurement and supply chain teams: Need to conduct annual supplier reviews and risk verifications.
Key features
6Enterprise Data Tool Matrix
The official website states that it covers four major fields: enterprise data, legal data, bidding data, and intelligent document analysis, including servers such as Enterprise Base, Risk Control Brain, Intellectual Property Engine, Business Compass, Historical Archive, and Director and Supervisor Profile.
Strong Entity Anchoring
The official stated that before calling any risk interface, enterprise entity recognition is first used to lock the Unified Social Credit Code, and automatic suspension and correction are triggered when there is a slight difference in names, suppressing name hallucinations at the source.
Strong Semantic Negative Defense
For empty data, it returns semantic conclusions such as "No relevant records found after full verification" to prevent the AI from mistaking "no results" for "no issues".
Context Management
The official states that it adopts a parameter push-down and page noise reduction mechanism, returning summarized conclusions instead of full-page raw data to reduce Token consumption.
Traceable and Auditable
The official states that each conclusion can be traced back to the data source including case numbers, meeting the requirements of an auditable decision-making chain for financial and due diligence scenarios.
Scenario-based SKILL
Provides out-of-the-box skill packages for groups such as banking and finance, investment and FA, legal and lawyer, procurement and supply chain.
How to use Qichacha Agent Platform
- 1When accessing, first complete the entity recognition anchoring to ensure the queried entity is the target enterprise, avoiding judgment errors caused by the same name or former names.
- 2For risk-related conclusions, it is recommended to retain call records and data sources for subsequent audit and internal review.
- 3For empty data results, follow the platform's semantic prompts to understand them; do not infer on your own that there is absolutely no risk.
- 4The query results involve enterprise public data, and compliance with relevant regulatory requirements regarding credit investigation and personal information protection must be observed when issuing reports externally.
Traffic & popularity
Data month Sep 2026
Qichacha Agent Platform receives about 32.1K visits per month.
Monthly visits
10 monthsTraffic sources
- Referrals45.8%
- Direct31.6%
- Search14.9%
- Display ads5.4%
- Social1.4%
- Other0.8%
Top countries
- China84.0%
- United States9.9%
- Hong Kong, China1.9%
- Taiwan, China1.1%
- Singapore0.9%
Estimated from third-party traffic data.
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