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Let your agent find research, check evidence, and track changes.
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The prompt guides setup, then requests research leads with sources.
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Help me start industry research with EquityLayer. First check whether EquityLayer MCP is connected and inspect the available tools and their parameters. If it is not connected, use this HTTP MCP endpoint: . If your environment supports MCP setup, help add it under the client's rules. Otherwise, give me the shortest setup instructions and wait for connection before continuing. Do not report a successful connection without verification. A localhost or 127.0.0.1 endpoint works only on the same computer. For a remote environment, use the public setup instructions at https://equitylayer.io/docs. Once connected, use discover_theses to explore AI Compute. Return up to 3 research candidates. For each, explain why it matters, cite sources and dates, identify unknowns, and suggest what to track next. State missing coverage. Answer in English and preserve company tickers and source links. For each candidate, return a Dashboard link by combining with its dashboard_path. If dashboard_path is absent, use /dashboard?research= followed by the URL-encoded thesis_id. The user can open the latest public evidence and save it for tracking.
Manual setup & service check
Add EquityLayer MCP
Add this setup to your selected AI client.
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discover_thesesVerify
test_thesisTrack
get_research_updateCheck that this site's MCP responds. Verify your client connection in your AI.
Call get_research_update with {"theme_id":"ai_compute"}. Save caller_action.baseline in my workspace. Call the tool again with that baseline. Report the result_state and source dates.