Analyze Google search results, SERP features, and organic rankings through SandBase DataForSEO. Use when asked for SERP analysis, Google ranking research, search feature identification, or organic visibility assessment.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Google Search Engine Results Page analysis through SandBase. Inspect live organic rankings, identify SERP features, discover related searches, and analyze autocomplete suggestions. 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 dataforseo_v3_serp_google_organic_live_advanced to get live organic results for a query.
Use dataforseo_v3_serp_google_related_searches_live_advanced to find related searches.
Use dataforseo_v3_serp_google_autocomplete_live_advanced for autocomplete suggestions.
Return: top organic results (title, URL, position, SERP features), featured snippets, People Also Ask, related searches, and competitive analysis.
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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.
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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.
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Create, implement, or review accessibility review work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on accessibility review.
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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.
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Create or review ai seo deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for ai seo work.
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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.
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