Deeplook FAQs

Question 1

How fast are Deeplook's reports and what tools does it offer?

Accepted Answer

Deeplook offers two distinct tools: `deeplook_research` delivers full, structured reports with financials, news, and technicals in under 15 seconds. For quick overviews, `deeplook_lookup` provides key metrics and headlines in approximately 3 seconds.

Question 2

How does Deeplook prevent LLM hallucinations?

Accepted Answer

Deeplook directly aggregates data from over 10 diverse, trusted sources (e.g., yfinance, CoinGecko, SEC EDGAR). This ensures AI agents receive verifiable, real-time data for financial, news, and technical analysis, rather than relying on potentially inaccurate or outdated information from their training data.

Question 3

What is Deeplook and its primary purpose?

Accepted Answer

Deeplook is an open-source Model Context Protocol (MCP) server designed to furnish AI agents with real-time, fact-checked company intelligence, financial data, and news from diverse sources. Its primary purpose is to prevent LLM hallucinations by providing accurate, up-to-date information.

Question 4

What types of entities can I research using Deeplook?

Accepted Answer

Deeplook supports comprehensive research across a broad spectrum of entities, including public equities, crypto tokens, DeFi protocols, private companies, venture capital firms, exchanges, and foundations.

Question 5

Is Deeplook open-source and compatible with AI platforms?

Accepted Answer

Yes, Deeplook is open-source and MIT licensed. It's built as an MCP server, making it compatible with popular AI clients like Claude, Cursor, and Windsurf, either through a hosted URL or by self-hosting. It also offers a command-line interface for direct use.

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