sandbaseai Last 30 Days Research
Comprehensive recent-history research across multiple platforms through SandBase. Aggregate the last 30 days of activity on a topic from Reddit, Twitter, YouTube, news, and web search. 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
- Cast a wide net: query at least 3-4 platforms for comprehensive coverage.
- Weight recency — more recent signals are more relevant.
- Note platform bias: Reddit skews technical, Twitter skews real-time, YouTube skews educational.
- Cross-reference findings for confidence scoring.
- Report timeline: when did mentions spike or change tone?
Workflow
1. Web and news
Use tavily_search with days: 30 and topic: "news" for news coverage.
Use google_news_bulk_articles for comprehensive news articles.
Use exa_search with date filters for high-quality web sources.
2. Social platforms
Use twitter_web_search_timeline for Twitter/X mentions and discussions.
Use reddit_app_dynamic_search for Reddit discussions.
Use youtube_web_v2_general_search for relevant YouTube content.
3. Synthesize timeline
Cluster findings by week, identify spikes, track sentiment changes.
Output
Return: timeline of activity, platform-by-platform summary, key events/milestones, sentiment trend, influencer involvement, and gaps/blind spots.
Example tasks
- "What's happened with [topic] in the last 30 days across the internet?"
- "Track [product launch] reception across all platforms over the past month."
- "How has discussion about [company] evolved on Twitter and Reddit recently?"
- "Find all significant mentions of [person] in the last 30 days."
- "What's the recent trend around [technology]? Combine news, social, and community data."