智能体应用商店运营数据集

本数据集聚焦智能体应用商店的运营数据，覆盖办公效率、创意设计、数据分析、生活服务、教育学习、专业领域等类别的智能体应用。数据内容包括智能体信息（上架信息、版本、定价、下载量、评分）、开发者信息（类型、收益、信誉）、用户行为（浏览、下载、启动、付费、卸载，已脱敏）、评价反馈（评分、评论摘要）及运营统计（日活跃、转化率、推荐效果）。适用于推荐算法优化、用户分群、智能体价值评估、开发者生态分析、运营活动效果评估及定价策略研究等场景。This dataset focuses on the operational data of the AI Agent App Store, covering agent applications across categories including office efficiency, creative design, data analysis, life services, education and learning, and professional domains. The dataset includes agent-related information (listing details, version, pricing, download counts, ratings), developer information (type, revenue, reputation), desensitized user behavior data (browsing, downloading, launching, purchasing, uninstalling), evaluation feedback (ratings, comment summaries), and operational statistics (daily active users, conversion rate, recommendation effectiveness). It is applicable to scenarios such as recommendation algorithm optimization, user segmentation, agent value evaluation, developer ecosystem analysis, operational campaign effectiveness assessment, and pricing strategy research.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于智能体应用商店的运营数据，涵盖办公效率、创意设计、数据分析等多类智能体应用。数据内容包括智能体信息、开发者信息、用户行为、评价反馈及运营统计等多个维度。适用于推荐算法优化、用户分群、智能体价值评估及开发者生态分析等场景。