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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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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