AI & Machine Learning API Key

Completion APIs REST API

Universal interface for AI text completion and generation

Completion APIs provide a standardized interface for text generation and completion across multiple AI models and providers. Developers use these APIs to integrate conversational AI, code generation, content creation, and semantic analysis into their applications with a unified SDK that works across OpenAI, Anthropic, Google, and other providers.

Base URL https://api.completion.rest/v1

API Endpoints

Method	Endpoint	Description
POST	`/completions`	Generate text completions using specified AI model with streaming support
POST	`/chat/completions`	Create chat-based conversational completions with message history
POST	`/embeddings`	Generate vector embeddings for text input for semantic search and similarity
GET	`/models`	List all available AI models across integrated providers
GET	`/models/{model_id}`	Retrieve detailed information about a specific AI model
POST	`/moderations`	Classify text content for harmful or sensitive material
POST	`/tokenize`	Count tokens in text for model context management
POST	`/analyze`	Perform sentiment analysis, entity extraction, and text classification
POST	`/summarize`	Generate concise summaries of long-form text content
POST	`/translate`	Translate text between languages using AI models
GET	`/usage`	Retrieve API usage statistics and token consumption metrics
POST	`/batch`	Submit multiple completion requests in a single batch operation
GET	`/batch/{batch_id}`	Check status and retrieve results of a batch completion job
POST	`/fine-tune`	Create a fine-tuning job to customize models with training data
GET	`/fine-tune/{job_id}`	Monitor progress and status of a fine-tuning job

Code Examples

curl https://api.completion.rest/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Explain REST APIs in simple terms"}
    ],
    "temperature": 0.7,
    "max_tokens": 500
  }'

const response = await fetch('https://api.completion.rest/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gpt-4',
    messages: [
      { role: 'system', content: 'You are a helpful assistant.' },
      { role: 'user', content: 'Explain REST APIs in simple terms' }
    ],
    temperature: 0.7,
    max_tokens: 500
  })
});

const data = await response.json();
console.log(data.choices[0].message.content);

import requests

url = 'https://api.completion.rest/v1/chat/completions'
headers = {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
}
payload = {
    'model': 'gpt-4',
    'messages': [
        {'role': 'system', 'content': 'You are a helpful assistant.'},
        {'role': 'user', 'content': 'Explain REST APIs in simple terms'}
    ],
    'temperature': 0.7,
    'max_tokens': 500
}

response = requests.post(url, json=payload, headers=headers)
result = response.json()
print(result['choices'][0]['message']['content'])

Use Completion APIs from Claude / Cursor / ChatGPT

Get a hosted MCP endpoint for Completion APIs. Paste your Completion APIs API key, copy back one URL, drop it into Claude Desktop, Cursor, or any AI client that supports remote MCP. Your AI calls Completion APIs directly with your credentials — no local install, works on mobile.

generate_completion Generate AI text completions with customizable model, temperature, and token limits for any text generation task

chat_conversation Conduct multi-turn conversational interactions with context preservation and role-based message handling

create_embeddings Convert text into vector embeddings for semantic search, similarity comparison, and clustering operations

batch_process_text Process multiple text inputs simultaneously for efficient bulk completion, translation, or analysis tasks

analyze_sentiment Perform sentiment analysis, entity extraction, and content classification on text using AI models

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Completion APIs REST API

API Endpoints

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Code Examples

Use Completion APIs from Claude / Cursor / ChatGPT

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