API Reference
Complete documentation for the ProfessorX API. Build powerful applications with our AI-powered content generation endpoints.
API Reference
Base URL
https://api.professorx.in/v1
Authentication
The ProfessorX API uses API key authentication. Include your API key in the Authorization header of every request.
Getting Your API Key
- Sign in to your ProfessorX dashboard
- Navigate to Settings > API Keys
- Click "Generate New Key"
- Copy and securely store your API key
Authentication Header
Authorization: Bearer YOUR_API_KEY
API Endpoints
ProfessorX provides several endpoints for different content generation and management tasks.
/content/generate
Generate AI-powered content
/content/{id}
Retrieve generated content
/seo/analyze
Analyze content for SEO
/analytics/usage
Get usage statistics
Content Generation
Generate high-quality content using our AI models.
/content/generate
Request Body
{
"prompt": "Write a blog post about artificial intelligence",
"type": "blog_post",
"tone": "professional",
"length": "medium",
"seo_keywords": ["AI", "artificial intelligence", "technology"],
"target_audience": "business professionals",
"language": "en"
}
Parameters
Parameter | Type | Required | Description |
---|---|---|---|
prompt |
string | Required | The content topic or description |
type |
string | Required | Content type: blog_post, article, social_media, etc. |
tone |
string | Optional | Writing tone: professional, casual, friendly, etc. |
length |
string | Optional | Content length: short, medium, long |
seo_keywords |
array | Optional | Keywords for SEO optimization |
Response
{
"id": "content_123456789",
"status": "completed",
"content": "Artificial Intelligence (AI) has become...",
"word_count": 1250,
"seo_score": 95,
"keywords_used": ["AI", "artificial intelligence", "technology"],
"generated_at": "2024-01-15T10:30:00Z",
"processing_time": 2.3
}
SEO Analysis
Analyze and optimize your content for search engines.
/seo/analyze
Request Body
{
"content": "Your content to analyze...",
"target_keywords": ["SEO", "optimization"],
"url": "https://example.com/article"
}
Response
{
"seo_score": 85,
"readability_score": 92,
"keyword_density": {
"SEO": 2.1,
"optimization": 1.8
},
"suggestions": [
"Add more internal links",
"Optimize meta description"
],
"meta_tags": {
"title": "Suggested title",
"description": "Suggested meta description"
}
}
Rate Limits
API rate limits help ensure fair usage and optimal performance for all users.
Basic Plan
Pro Plan
Enterprise
Rate Limit Headers
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1642262400
Error Handling
The ProfessorX API uses conventional HTTP response codes to indicate success or failure.
Code | Status | Description |
---|---|---|
200 | OK | Request successful |
400 | Bad Request | Invalid request parameters |
401 | Unauthorized | Invalid or missing API key |
429 | Too Many Requests | Rate limit exceeded |
500 | Internal Server Error | Server error occurred |
Error Response Format
{
"error": {
"code": "invalid_parameter",
"message": "The 'prompt' parameter is required",
"details": {
"parameter": "prompt",
"expected": "string"
}
}
}
Official SDKs
Get started quickly with our official SDKs for popular programming languages
JavaScript/Node.js
Official JavaScript SDK for browser and Node.js applications.
npm install @professorx/api
Python
Python SDK with full API coverage and async support.
pip install professorx-api
PHP
PHP SDK with Laravel integration and modern PHP features.
composer require professorx/api
Code Examples
See the ProfessorX API in action with these practical examples
const ProfessorX = require('@professorx/api');
const client = new ProfessorX({
apiKey: 'your_api_key_here'
});
async function generateContent() {
try {
const response = await client.content.generate({
prompt: 'Write a blog post about AI trends in 2024',
type: 'blog_post',
tone: 'professional',
length: 'medium'
});
console.log('Content generated:', response.content);
console.log('SEO Score:', response.seo_score);
} catch (error) {
console.error('Error:', error.message);
}
}
generateContent();
import professorx
client = professorx.Client(api_key='your_api_key_here')
def generate_content():
try:
response = client.content.generate(
prompt='Write a blog post about AI trends in 2024',
type='blog_post',
tone='professional',
length='medium'
)
print(f'Content generated: {response.content}')
print(f'SEO Score: {response.seo_score}')
except professorx.APIError as e:
print(f'Error: {e.message}')
generate_content()
<?php
require_once 'vendor/autoload.php';
use ProfessorX\Client;
$client = new Client([
'api_key' => 'your_api_key_here'
]);
try {
$response = $client->content->generate([
'prompt' => 'Write a blog post about AI trends in 2024',
'type' => 'blog_post',
'tone' => 'professional',
'length' => 'medium'
]);
echo "Content generated: " . $response['content'] . "\n";
echo "SEO Score: " . $response['seo_score'] . "\n";
} catch (ProfessorX\Exception\APIException $e) {
echo "Error: " . $e->getMessage() . "\n";
}
?>
curl -X POST "https://api.professorx.in/v1/content/generate" \
-H "Authorization: Bearer your_api_key_here" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Write a blog post about AI trends in 2024",
"type": "blog_post",
"tone": "professional",
"length": "medium"
}'
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