Exa Search API
Neural search engine & structured content extractor for AI agents
Exa is an embedding-powered web search engine designed for LLMs, delivering clean semantic snippets and structured page extraction.
Quickstart Execution
search.ts
Get started with Exa Search API in your project.
import Exa from 'exa-js'
const exa = new Exa(process.env.EXA_API_KEY)
const result = await exa.searchAndContents(
'Danish energy infrastructure datasets',
{
type: 'neural',
includeDomains: ['energinet.dk', 'ens.dk'],
highlights: true,
}
)
console.log(result.results)About Exa Search API
Exa replaces traditional keyword search engines with semantic vector retrieval across the live web. AI agents can search using natural language or target URL embeddings, retrieving concise highlights and structured markdown formatted for context windows.
DK
Danish Product & Data Recipes
How developers and agents use Exa Search API to connect with Danish digital infrastructure.
Neural Discovery of Danish Government Initiatives
Query Exa for "Danish green energy transition subsidies" restricted to `includeDomains: ["ens.dk", "kefm.dk"]` to retrieve clean Markdown highlights.
Key Capabilities
Neural semantic search tuned for LLM context windows
Domain filtering (e.g. restrict to .dk domains and Danish government sites)
Sub-second highlight extraction with zero boilerplate
Official Python and TypeScript SDKs + MCP server integration