Word of mouth

Word-of-mouth and comment analysis API

Star ratings tell you little. The comments under a popular post tell you what buyers really think, in their own words. Find the posts that mention your product, read the comments under the busiest ones, and let a model sort the praise from the complaints.

Example workflow

One brand, one sweep across three platforms

  1. 1Xiaohongshu notes that mention the brand (about 100)xiaohongshu.notes.search5 × $0.02$0.10
  2. 2Comments under the 20 most engaged notes, two pages eachxiaohongshu.notes.comments.list40 × $0.02$0.80
  3. 3Weibo posts that mention the brand (about 100)weibo.posts.search10 × $0.002$0.02
  4. 4X posts that mention the brand (200 posts)x.posts.search10 × $0.006$0.06

One run$0.98

Or ask an agent with the MCP server connectedFind what people on Xiaohongshu and Weibo said about our new sunscreen this month, read the comments under the top notes, and group the praise and the complaints.

Endpoints for this job (8)