Exa AI

Submit API request with relevant keywords (e.g., company name, financial reports).

Exa AI crawls and extracts financial data from multiple sources.

Structured outputs are generated, including key metrics (revenue, profit, debt).

Data is integrated into investment analysis models for decision-making.

Define target competitors and relevant search parameters.

Use Exa AI to search for competitor information (e.g., market share, product offerings).

Extract structured outputs on competitor strategies and performance.

Analyze data to identify market trends and competitive advantages.

AI coding agent queries Exa AI for specific code documentation.

Exa AI searches dedicated web indexes for code documentation.

Relevant excerpts and highlights are extracted and delivered to the AI agent.

AI agent uses documentation to generate or debug code.

Define research topic and keywords.

Use Exa AI to search for scientific papers.

Review search results and highlights for relevance.

Access full papers for detailed analysis.

Set up API calls to monitor specific news topics.

Exa AI crawls news sources and extracts relevant articles.

Identify trends from the aggregated news data.

Generate reports on emerging trends for strategic decision-making.

Query Exa AI with company names.

Exa AI searches and extracts company details.

Generate structured output including company name, CEO name, and founding year.

Enrich existing company databases with structured company data.

Pass webpage content to Exa AI for summarization.

Exa AI generates highlights with the most relevant excerpts.

Pass highlights to the LLM instead of the full content.

The LLM uses highlights to answer questions or perform tasks.