YouSearch AI Summary Actor 🔍 This actor generate comprehensive, well-structured summaries from search queries. Perfect for researchers, content creators, and anyone needing quick, AI-powered search insights! 🚀 ## Features ✨ - 🤖 AI-powered search summaries with reference numbers - 📝 Three-paragraph structured format with emoji enhancements - 🔗 Automatic source attribution and URL references - 🎯 Google search comparison links - 💡 Search optimization tips - ⚡ Fast and efficient processing ## Output Format 📋 The actor generates structured summaries including: - Main content with reference numbers - Source URLs with numbered references - Google search comparison link - Search optimization suggestions ## Use Cases 🎯 - Research summaries - Content research - Competitive analysis - Quick topic overviews - SEO research - Market research ## Cost of Usage 💰 This actor typical search operation takes about 5-10 seconds. ## Input Parameters 🎛️ | Field | Type | Description | |-------|------|-------------| | searchTerm | String | Your search query (required) | ## Output Dataset 📊 Results are stored in the default dataset with the following fields: - searchTerm: Original search query - response: Structured summary with references - timestamp: Operation timestamp ### Input Example A full explanation of an input example in JSON. { "searchTerm": "Tesla full-vision system vs Lidar" } ### Output sample The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. [ { "searchTerm": "Tesla full-vision system vs Lidar", "response": "The Tesla full-vision system utilizes cameras and advanced algorithms to provide autonomous driving capabilities without the use of Lidar technology 🚗. Tesla argues that Lidar is unnecessary for achieving full self-driving functionality, as their system can interpret and analyze visual data more effectively (1).\n\nProponents of Lidar technology argue that it provides more precise depth perception and can better detect obstacles in various lighting conditions 🌟. They claim that while cameras are valuable for object recognition, Lidar is essential for accurate distance measurements and obstacle avoidance in challenging environments (2).\n\nThe debate between Tesla's full-vision system and Lidar technology continues, with both sides presenting convincing arguments regarding the effectiveness and necessity of each approach 🤔. As autonomous driving technology evolves, further research and advancements may ultimately determine which system becomes the standard for self-driving vehicles (3).\n\nSources:\n(1) https://www.teslarati.com/tesla-full-vision-autopilot-rivals-lidar-expert-interview/\n(2) https://www.nytimes.com/2021/04/17/technology/self-driving-cars-lidar-tesla.html\n(3) https://www.forbes.com/sites/sasper/2021/05/07/tesla-vs-lidar-patent-battle/?sh=1c94aaba3673\n\nHint text for further search results with Google link:\nSee Google results: [Tesla full-vision system vs Lidar search results](https://www.google.com/search?q=Tesla+full-vision+system+vs+Lidar)\n\nTip: To optimize your search results, try looking for recent articles and expert opinions on the advancements and debates surrounding Tesla's full-vision system and Lidar technology.", "timestamp": "2024-12-06T04:51:28.425Z" } ]