Monitor competitor websites, content changes, social activity, and market positioning through SandBase. Use when asked for competitive intelligence, competitor tracking, market positioning research, or competitive content monitoring.
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-channel competitive intelligence through SandBase. Track competitor website content, social media activity, news coverage, and search visibility. 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 firecrawl_scrape or context_dev_scrape_markdown to extract competitor page content.
Use firecrawl_map to discover competitor site structure.
Use context_dev_capture_screenshot for visual monitoring.
Use exa_search with include_domains to find competitor content.
Use dataforseo_v3_serp_google_organic_live_advanced to check their rankings.
Use twitter_web_search_timeline for competitor brand mentions.
Use linkedin_web_v2_company_posts for competitor LinkedIn activity.
Use youtube_web_v2_channel_videos for competitor YouTube content.
Use tavily_search with competitor name and "news" topic.
Use google_news_bulk_articles for news coverage.
Return: competitor activity summary, content changes detected, social media presence comparison, search visibility snapshot, news coverage, and strategic observations.
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。