| name | twitter-intelligence |
| description | Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. Use when asked for Twitter research, social listening, trend analysis, influencer monitoring, sentiment tracking, or competitor social intelligence. |
Twitter Intelligence
Full-spectrum Twitter/X research and social listening through SandBase. Search public tweets, discover trends, analyze user profiles, and monitor discussions — all read-only, never posts or engages. Read the API map before selecting a capability.
Call SandBase capabilities
For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.
Operating principles
- Use Twitter data as social signal evidence, not as representative public opinion.
- Separate observations (tweet volume, engagement, accounts posting) from interpretation (sentiment, trend direction).
- Preserve attribution: include tweet URLs, usernames, dates, and engagement metrics.
- Never post, like, retweet, follow, or engage on behalf of the user.
- Keep monitored accounts and strategy confidential unless sharing is requested.
Workflow
1. Frame the research
Classify the request:
- Trend discovery: what's trending, emerging topics
- Topic monitoring: track discussions around a keyword or brand
- User analysis: profile, content, followers, engagement patterns
- Sentiment tracking: how people feel about a topic or brand
- Competitor intelligence: what competitors post and how audiences respond
2. Search tweets
Use twitter_web_search_timeline for keyword-based tweet discovery:
- Search for brand names, product names, hashtags, or topic phrases
- Use negative keywords to filter noise
- Compare search results for competitors side by side
Use twitter_bulk_tweet_search for higher-volume batch searches.
3. Discover trends
Use twitter_web_trending to find what's trending globally or by location.
4. Analyze users
Use twitter_web_user_profile for account details (bio, follower count, verified status).
Use twitter_web_user_media and tweet timeline tools for content analysis.
Use twitter_web_user_followers / twitter_web_user_followings for network analysis.
5. Deep-dive tweets
Use twitter_web_tweet_detail for specific tweet metrics and thread context.
Use twitter_web_latest_post_comments or twitter_web_post_comments for reply analysis.
Output
Return: search scope, tweet volume summary, key accounts involved, sentiment signals, trend indicators, engagement patterns, and evidence gaps.
Example tasks
- "What are people saying about [brand] on Twitter this week?"
- "Find trending topics in the AI/tech space right now."
- "Analyze @competitor's Twitter presence — posting frequency, engagement, top content."
- "Monitor mentions of [product launch] and summarize sentiment."
- "Who are the most influential voices discussing [topic] on Twitter?"
Failure handling
- If SandBase is unavailable, report the failure and do not substitute a direct API.
- If searches return few results, try broader terms or related hashtags.
- If a user account is private/suspended, note the gap and continue with available data.
