Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase. Use when asked for brand monitoring, reputation tracking, social listening, PR coverage analysis, or competitive brand intelligence.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Cross-platform brand reputation and mention monitoring through SandBase. Track what's being said about a brand across Twitter, Reddit, news sources, and Chinese platforms. Read the API map before selecting a capability.
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.
Use twitter_web_search_timeline to search brand mentions and hashtags.
Use twitter_web_trending to check if brand is trending.
Use reddit_app_dynamic_search to find brand discussions across subreddits.
Use tavily_search with topic "news" and brand name.
Use google_news_bulk_articles for comprehensive news coverage.
Use xiaohongshu_app_v2_search_notes for brand mentions on Xiaohongshu.
Use weibo_web_search for Weibo brand mentions.
Aggregate mentions by platform, sentiment, volume, and trends.
Return: mention volume by platform, sentiment breakdown (positive/negative/neutral), key influencer mentions, emerging issues, competitive comparison, and trend over time.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Search academic papers, scholarly articles, and research publications through SandBase. Use when asked for literature review, academic citations, scholarly research, paper discovery, or scientific evidence gathering.
日本語の概要は準備中です。原文の説明を表示しています。
Research emerging academic trends by combining scholarly databases, web sources, and news to identify rising research areas, breakthrough papers, and shifting scientific consensus. Ideal for R&D teams tracking frontier science.
日本語の概要は準備中です。原文の説明を表示しています。
Create, implement, or review accessibility review work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on accessibility review.
日本語の概要は準備中です。原文の説明を表示しています。
Plan, implement, or review agentic eval work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests agentic eval work.
日本語の概要は準備中です。原文の説明を表示しています。
Create or review ai seo deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for ai seo work.
日本語の概要は準備中です。原文の説明を表示しています。
Apply airflow dag patterns in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses airflow dag patterns or its strengths fit the task.
日本語の概要は準備中です。原文の説明を表示しています。