Back to marketplace
Exa logo
Exa Verified

Build Exa agents for web research and source discovery

Create research agents that find relevant web sources and turn them into usable evidence summaries.

Example outcome

Turn a research question into a source-backed brief with findings, links, confidence, and next steps.

Agent examples

Workflow guides for Exa

5 guides

Make web research repeatable

Exa workflows in LatchLoop help agents search and extract web context for research tasks where source quality matters. Rather than asking an agent to answer from memory, give it a question, source criteria, and expected handoff so it can discover evidence and explain why each source is useful.

A strong Exa agent should be explicit about scope. It can search for companies, technical docs, market examples, content references, or background reading, then summarize findings with links and confidence. It should also call out weak evidence, paywalls, old pages, and areas where more verification is needed.

Use the marketplace overview to show how Exa functions as a research layer in larger LatchLoop workflows. It pairs naturally with Google Drive, Notion, Linear, GitHub, and CRM tools when source discovery needs to become a plan, memo, or task.

Start with the web research workflow below to build an agent that turns a research question into a source-backed brief.

Combine plugins

Build richer agents by pairing Exa with complementary context

Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Exa as one layer in a larger agent workflow when the outcome needs more than one connected app.

Available plugin capabilities

exa-best-practicesexa-fetchexa-web-searchCursor rule: Exa Awarenessexa-fetchexa-searchexa-setupexa
Get Started

Build as fast as you can think.

LatchLoop works where you do to build with you.