DeepLook is a company intelligence tool for AI agents, positioned as "any company, one call." Its core goal is to solve the problem of LLMs hallucinating on financial data by providing models with real, structured data to drive more reliable analysis.
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Purpose DeepLook is used for company research scenarios. The official description says it is suitable for financial research, business due diligence, and any use case that requires quickly understanding a company. It covers stocks, cryptocurrencies, and private companies, outputs structured reports, and provides bullish/bearish conclusions.
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Main Capabilities
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Multi-source data aggregation: a single call can query more than 10 sources in parallel, including market data, financial filings, news, etc. The official page mentions combining real-time data from more than 8 APIs.
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Structured context: integrates financial data, peer comparisons, technical indicators, and news into one view for at-a-glance review.
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Reduced hallucination: follows the principle of "rules first, then reasoning"; data is validated before entering the LLM.
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Evaluated and tested prompts: changes are scored before release rather than being released directly.
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Agent-ready: provided as both an MCP server and a REST API.
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How to Use One of the official integration methods is to add a connector in an MCP-supported setup: go to Settings → Connectors → Add MCP, paste the address https://mcp.deeplook.dev/mcp，然后开始新对话并输入「Research NVIDIA". Other listed MCP clients include Cursor, VS Code, Windsurf, and Claude Desktop.
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Evaluation and Extension The official description says it was tested on 58 companies and scored by accuracy, hallucination, and usefulness; however, it notes that the data comes from an earlier pipeline version and needs to be rerun, with the evaluation tool located at /deeplook/eval. DeepLook supports extension: if you need data it does not yet cover—for example, a new market, a new data source, or a new analysis rule—you can add it yourself; see CONTRIBUTING.md.
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Applicable Scenarios Suitable for financial research, business due diligence, or any scenario that requires quickly understanding a company.
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Limitations and Information Not Yet Provided Information on the pricing model, price, platform support details, a specific list of data sources, response speed, etc. is not yet provided in the materials. The evaluation results are noted as being from an earlier version and pending rerun, so the current performance data should be treated with caution.
