203 Integrations with Bing

View a list of Bing integrations and software that integrates with Bing below. Compare the best Bing integrations as well as features, ratings, user reviews, and pricing of software that integrates with Bing. Here are the current Bing integrations in 2026:

  • 1
    Singer

    Singer

    Singer

    Singer describes how data extraction scripts called “taps” and data loading scripts called “targets” should communicate, allowing them to be used in any combination to move data from any source to any destination. Send data between databases, web APIs, files, queues, and just about anything else you can think of. Singer taps and targets are simple applications composed with pipes—no daemons or complicated plugins needed. Singer applications communicate with JSON, making them easy to work with and implement in any programming language. Singer also supports JSON Schema to provide rich data types and rigid structure when needed. Singer makes it easy to maintain state between invocations to support incremental extraction.
  • 2
    Omni AI

    Omni AI

    Omni AI

    Omni is a powerful AI framework allowing you to connect Prompts, Tools and customized logic to LLM Agents. Agents are built upon the ReAct paradigm (Reason + Act) and allow LLM models to engage with a multitude of tools and custom components to accomplish a task. Automate customer support, document processing, lead qualification, and more. You can seamlessly switch between prompts and LLM architectures to optimize performance. We host your workflows as APIs so that you can access AI instantly.
  • 3
    Coze

    Coze

    Coze

    Next-generation AI chatbot building platform, quickly create bots without coding and publish them on various platforms. Workflow is a useful tool for planning and implementing complex functional logic, often used for multi-step tasks like travel planning and report analysis. For tasks with complex functionality and high stability requirements, implementation with a workflow is ideal. Workflow provides a wide range of flexible, combinable nodes, and even supports custom code, to handle complex and controllable AI task flow needs. When the targeted AI task scenes involve many steps, and there are strict requirements on output accuracy and format, it is suitable to use a workflow.