Web Search and X Search
Grok’s differentiating capability is real-time retrieval: in addition to regular web search, it can also retrieve posts and discussions in the X(Twitter) ecosystem, giving it unique advantages for trending events and public-opinion-related questions.
How to Call
The usage for web-enabled models is the same as for regular chat (the exact model name is subject to availability):
curl https://api.4allapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIPROXY_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "grok-4.5", "messages": [{"role": "user", "content": "What are the trending AI discussions on X in the past 24 hours?"}] }'Use Cases
- Public opinion monitoring: tracking discussion trends about a brand/event on social media;
- Trending event tracking: cross-verifying multiple sources for breaking news;
- Market sentiment: an overview of community sentiment around a topic.
Key Notes
- Retrieval adds latency and token consumption; use the regular tier for non-real-time questions;
- Social media information is noisy, so require the model to cite sources for key conclusions and verify them manually;
- When you need Google-style search, use Gemini Web Search, the source ecosystems differ, so choose according to the topic.