For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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User GuideDeveloper GuidesAPI Reference
User GuideDeveloper GuidesAPI Reference
  • Getting Started
    • What is Runtype?
    • Creating your account
    • Platform Keys vs. BYOK
    • Understanding the Runtype UI
    • Quickstart: Social Media Post Generator
    • Quickstart: From Agent to Chat Widget
  • Dashboard
    • What is the Dashboard?
    • Daily Executions
  • Playground
    • What is the Playground?
  • Products & Surfaces
    • What are Products?
    • What are Surfaces?
    • Creating a Product
    • Setting up a Chat Surface
    • Setting up an API Surface
    • Setting up an MCP Surface
    • Setting up an A2A Surface
    • Setting up a Slack Surface
    • MCP authentication
    • Authenticating with product API keys
    • Embedding the chat widget (script tag)
    • Embedding the chat widget (React)
    • Surface orchestration modes
    • Product views
    • Adding Capabilities to a product
    • Connecting external agents
    • How A2A works
    • Connecting to Cursor / VS Code
    • Connecting to Claude Desktop
    • Scoping API keys to capabilities
    • Auto-generated OpenAPI spec
    • Calling your API endpoints
    • Client tokens and domain restrictions
    • AI-powered theme generation
    • Widget theming and customization
    • Product versioning and status
  • Flows
    • What are Flows?
    • Creating and Editing Flows
    • Flow step types overview
    • Agent and Flow Templates
    • Using prompt steps
    • Using transform-data steps
    • Using conditional steps
    • Using fetch-url and api-call steps
    • Using record steps (upsert/retrieve)
    • Flow variables and templates
    • Flow versioning and publishing
    • Running flows in batch
    • Handling batch failures
    • Debugging flows
  • Agents
    • What are Agents?
    • Creating and configuring Agents
    • Agent tools
  • Records
    • What are Records?
    • Creating and managing records
    • Using records in flows
    • Filtering and searching records
  • Tools
    • What are Tools?
    • Built-in Tools
    • Creating custom tools
    • Creating external tools
    • Runtime tools
  • Evals
    • What are Evals?
    • Running an Eval
    • Interpreting eval results
  • Schedules
    • What are Schedules?
    • Automating batch processing
  • Logs
    • What are Logs?
    • Working with Logs
  • Integrations
    • Connecting AI model providers
    • Slack integration
    • Google Workspace integration
    • GitHub integration
    • Linear integration
    • Weaviate (vector search)
    • Firecrawl (web scraping)
    • Exa (web search)
  • Settings
    • What's in Settings?
    • Available AI models
    • What are Organizations?
    • Managing AI models
    • Managing API keys
    • Billing and plans
    • Usage data
    • Team members and permissions
    • Appearance and preferences
    • Integrations (PostHog, Weaviate, Daytona)
  • Troubleshooting & FAQ
    • FAQ
    • Rate Limits and Usage
    • Managing Runtype with Claude
    • Flow execution failures
    • Common errors and solutions
    • Authentication issues
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On this page
  • What is Exa?
  • Setting up Exa
  • Using Exa as a tool
  • Use cases
  • Next steps
Integrations

Exa (web search)

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What's in Settings?

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Built with

Connect Exa for AI-powered web search in Agents. Exa is available as a built-in Agent tool, not as a Flow step.

What is Exa?

Exa is a search engine designed for AI Agents. It provides high-quality, relevant web results optimized for semantic understanding.

Setting up Exa

Exa is available through platform keys, so you can use it without providing your own API key. If you want to use your own Exa account:

  1. Sign up at exa.ai
  2. Get your API key
  3. In Runtype, go to Settings → Integrations
  4. Find Exa
  5. Enter your API key
  6. Click Save

Using Exa as a tool

Enable the Exa built-in tool when configuring an Agent. The Agent can then autonomously search the web when needed.

The tool accepts:

  • query (required) — Search query
  • searchType — Algorithm: auto (default), neural (semantic), or keyword (traditional)
  • numResults — Number of results to return (1-10, default 5)
  • summary — Include AI-generated summary of each result (default: true)
  • highlights — Include relevant highlights from each result (default: true)
  • text — Include full page text content (default: false)
  • includeDomains / excludeDomains — Restrict or exclude specific domains
  • startPublishedDate / endPublishedDate — Filter by publication date

Use cases

  • Research Agents: Gather current information
  • Fact-checking: Verify claims against web sources
  • Content creation: Find reference material
  • Lead generation: Find companies or contacts

Next steps

  • Firecrawl (web scraping) to extract data from search results
  • What are Agents? to build Agents that use Exa