AgentQL
2024-08-20T07:01:00+00:00
Key Features of AgentQL
- 1
Semantic selector
- 2
Natural Language querying
- 3
Controlled output format
- 4
Deterministic AI approach
Target Users of AgentQL
- 1
Data Analysts and Scientists
- 2
Software Developers
- 3
Quality Assurance Teams
- 4
Business Intelligence Professionals
Target User Scenes of AgentQL
- 1
As a Data Analyst, I want to use natural language queries to extract specific data from websites so that I can quickly gather essential data for analytics and insights
- 2
As a Software Developer, I want to automate repetitive web tasks using AgentQL so that I can reduce manual effort and enhance productivity
- 3
As a Quality Assurance Team member, I want to streamline E2E testing with AgentQL to ensure my applications perform seamlessly
- 4
As a Business Intelligence Professional, I want to use semantic element selection to accurately identify and extract data from websites, ensuring controlled and precise output.