exa

# Exa

Exa is a search engine that uses AI to understand context and provide more relevant results. It's used by researchers, analysts, and anyone who needs to quickly find specific information from the web.

Official docs: https://exa.ai/docs

## Exa Overview

- **Search**
  - **Result**
- **File**
  - **Content**
- **Team**
  - **Member**

Use action names and parameters as needed.

## Working with Exa

This skill uses the Membrane CLI to interact with Exa. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.

### Install the CLI

Install the Membrane CLI so you can run `membrane` from the terminal:

```bash
npm install -g @membranehq/cli
```

### First-time setup

```bash
membrane login --tenant
```

A browser window opens for authentication.

**Headless environments:** Run the command, copy the printed URL for the user to open in a browser, then complete with `membrane login complete <code>`.

### Connecting to Exa

1. **Create a new connection:**
   ```bash
   membrane search exa --elementType=connector --json
   ```
   Take the connector ID from `output.items[0].element?.id`, then:
   ```bash
   membrane connect --connectorId=CONNECTOR_ID --json
   ```
   The user completes authentication in the browser. The output contains the new connection id.

### Getting list of existing connections
When you are not sure if connection already exists:
1. **Check existing connections:**
   ```bash
   membrane connection list --json
   ```
   If a Exa connection exists, note its `connectionId`


### Searching for actions

When you know what you want to do but not the exact action ID:

```bash
membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json
```
This will return action objects with id and inputSchema in it, so you will know how to run it.


## Popular actions

| Name | Key | Description |
| --- | --- | --- |
| Answer | answer |  |
| Find Similar Links | find-similar-...