# Fairing

```json
{
  "name": "Fairing",
  "slug": "fairing",
  "url": "https://composio.dev/toolkits/fairing",
  "markdown_url": "https://composio.dev/toolkits/fairing.md",
  "logo_url": "https://logos.composio.dev/api/fairing",
  "categories": [
    "advertising & marketing"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:31:49.799Z"
}
```

![Fairing logo](https://logos.composio.dev/api/fairing)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Fairing MCP or direct API to review survey responses, manage questions, analyze attribution data, and summarize marketing performance through natural language.

## Summary

Fairing is a post-purchase survey and attribution platform for ecommerce brands.
It helps teams measure which marketing channels, campaigns, and customer touchpoints drive purchases.

## Categories

- advertising & marketing

## Toolkit Details

- Tools: 2

## Images

- Logo: https://logos.composio.dev/api/fairing

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Fairing.
  - Setup:
    - Configure Api Key credentials for Fairing.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Summarize recent post-purchase attribution responses
- Create Fairing question for referral source
- Compare survey responses by marketing channel

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FAIRING_LIST_QUESTIONS` | List Questions | Return the connected shop's complete Fairing question stream, optionally including targeting rules. |
| `FAIRING_LIST_RESPONSES` | List Responses | Return one page of the connected shop's survey responses, with optional question, time-window, and sort filters. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Fairing Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Fairing actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List recent Fairing survey responses and summarize the top attribution sources.'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'List recent Fairing survey responses and summarize the top attribution sources.'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Fairing
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Fairing tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('List recent Fairing survey responses and summarize the top attribution sources.')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'List recent Fairing survey responses and summarize the top attribution sources.'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Fairing Integration

- Supports both Fairing MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable Fairing survey and attribution workflows
- Rich coverage for reading responses, managing questions, and querying post-purchase data

### 2. Managed Auth

- Fairing uses API key auth, and Composio keeps credentials out of your agent code
- Create auth configs with auth_configs.create() and link user accounts with connected_accounts.link()
- Central place to manage, scope, and revoke Fairing access across users and environments

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what Fairing action ran, when, and on whose behalf
- Use mcp.create() patterns for MCP-based agent access when you want Fairing inside Claude, Cursor, or other MCP clients

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Fairing
- Scoped, least privilege access to Fairing survey, question, and response data
- Full audit trail of agent actions to support review and compliance

## Use Fairing with any AI Agent Framework

Choose a framework you want to connect Fairing with:

None listed.

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## Frequently Asked Questions

### Do I need my own developer credentials to use Fairing with Composio?

Yes, Fairing requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
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