Quickstart

Get started with LemonData API in 2 minutes

Step 1: Start with Trial Credits

1. Create an account

   Sign up at lemondata.cc using your email, Gmail, or GitHub account.

2. Use the included trial credits

   Your account starts with trial credits for the first small test requests. You do not need to top up before Quickstart.

3. Create or copy an API key

   Go to Dashboard → API Keys and create a new key, or copy an existing one. Copy it securely because full keys are only shown once.

Keep your API key secure. Never expose it in client-side code or public repositories.

Step 2: Install a Client

Python

pip install openai

Step 3: Make Your First Request

For most new integrations, start with Chat Completions on POST /v1/chat/completions.

cURL

curl https://api.lemondata.cc/v1/chat/completions \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4",
    "messages": [
      {"role": "user", "content": "What is the capital of France?"}
    ]
  }'

Use POST /v1/responses only when you explicitly need Responses-specific behavior. Some Responses-only fields depend on the selected model and routed path.

Top Up for Production

The included trial credits are for the first small tests. Add credits in Dashboard → Billing only when you are ready for production usage or higher-volume testing.

Try Different Models

LemonData supports hundreds of models. Change only the model field:

response = client.chat.completions.create(model="gpt-5.4", messages=[{"role": "user", "content": "Hello"}])
response = client.chat.completions.create(model="gpt-5-mini", messages=[{"role": "user", "content": "Hello"}])
response = client.chat.completions.create(model="claude-sonnet-4-6", messages=[{"role": "user", "content": "Hello"}])
response = client.chat.completions.create(model="gemini-2.5-flash", messages=[{"role": "user", "content": "Hello"}])
response = client.chat.completions.create(model="deepseek-r1", messages=[{"role": "user", "content": "Hello"}])

Enable Streaming

stream = client.chat.completions.create(
    model="gpt-5.4",
    messages=[{"role": "user", "content": "Tell me a short story."}],
    stream=True
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="")

What’s Next?

Authentication

Learn about API key management and security.

OpenAI SDK

Use OpenAI-compatible /v1 routes with existing OpenAI SDKs.

API Reference

Explore the full endpoint reference.

Models

Browse current model availability and pricing.