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

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

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."