2026-02-08

X.com Sentiment Detector

Instantly gauge public opinion on any topic by analyzing the latest tweets. Perfect for tracking brand reputation or product launches.

Human Input

$Analyze the sentiment on X about the Apple Vision Pro.

OpenClaw Output

Here is the sentiment analysis for "Apple Vision Pro" based on the latest 50 tweets:

Overall Sentiment: 65% Positive | 25% Neutral | 10% Negative

Key Themes:

  • Positive: "Spatial Personas" are a game-changer; gaming ecosystem is growing; users are excited about new AR apps.
  • Negative: Price point ($3,500) remains a barrier; some complaints about weight and comfort during extended use.
  • Viral: A tweet showcasing "Spatial Hockey Ninja" app got 1.2K likes.

Conclusion: Public perception is generally enthusiastic, focusing on innovative features, though accessibility (price) is a recurring concern.

Prerequisites (User config required)

Tavily API Key (or Twitter API Key)OpenAI / LLM Access

X.com Sentiment Detector

Stop scrolling manually to "feel out" the vibe. This use case automates social listening:

  1. Search: Queries X (Twitter) for the latest posts matching your topic.
  2. Filter: Removes spam and irrelevant content.
  3. Analyze: Passes the clean text to an LLM (like GPT-4 or Claude) to classify sentiment and extract key themes.

Ideal for marketers, product managers, and investors who need a quick pulse on public opinion.

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