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AI Requester 1.5 [Exclusive]

499.00

This powerful data retrieval tool can revolutionize how businesses retrieve data. Its AI-powered data extraction capabilities, customizable requests, batch processing, and export options make retrieving relevant data quickly and accurately easy.

 

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Description

Overview of AI Requester:

AI Requester standalone offline installer for Windows. This is a program that can connect to OpenAI API with ease.

This is a program that can connect to OpenAI API with ease. The software provides users with a reliable and easy-to-use interface that seamlessly integrates with the latest AI technologies, including GPT-3.5 and GPT-4.

Features of AI Requester:

  • The tool utilizes machine learning algorithms to analyze data patterns and extract relevant information. This ensures that users get accurate and reliable results
  • Users can easily create and customize HTTP requests with different methods (GET, POST, PUT, DELETE), headers, and parameters. This makes it easy to retrieve data from various sources
  • Users can extract data from multiple URLs or APIs simultaneously. This saves time and improves efficiency
  • Users can export the extracted data in different formats, including CSV, JSON, and XML. This makes it easy to use the data in different applications

Technical Details and System Requirements:

  •  Supported OS: Windows 11, Windows 10, Windows 8.1, Windows 7
  •  RAM (Memory): 2 GB RAM (4 GB recommended)
  •  Free Hard Disk Space: 200 MB or more

FAQs:

Q: Is it easy to use?

A: The tool has an intuitive interface that makes creating requests and retrieving data easy.

Q: Can I extract data from multiple sources simultaneously?

A: Yes, the tool supports batch processing, which allows users to extract data from multiple URLs or APIs simultaneously.

Q: Can I export data in different formats?

A: The tool supports exporting data in CSV, JSON, and XML formats.

Q: Is it compatible with different types of APIs?

A: Yes, the tool supports different API formats, including REST, SOAP, and GraphQL.

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