What problem does it solve? WeChat official account operators and content creators lack a data-driven way to discover viral articles in their niche, making topic selection and competitor benchmarking a manual guessing game. ## Core Features & Use Cases - Viral Article Query: Search a continuously updated database of viral WeChat articles by keyword, filtered across four leaderboards: low-follower high-read, top reads, top original, and rising data. - General-Term Governance: Detects broad category words (e.g., "workplace", "emotion") and requires the user to confirm sub-niche expansion before running any query, preventing low-value broad searches. - Dual Output Formats: Generates a styled HTML card report ({keyword}_爆款数据.html) plus an optional JSON file with per-article data scores for agent-side filtering and recommendation reasoning. - Use Case: A parenting account operator asks for recent viral articles on "亲子教育"; the agent runs the script, presents up to 10 ranked article cards with read counts and recommendation reasons, then suggests 10 narrower sub-topics for the next round. ## Quick Start Ask the agent to find recent viral WeChat official account articles about a specific niche topic, and it will run the query script and show you ranked article cards with an HTML report.
