Efficient Resource Integration
Streamline your enterprise account resources with our global relay line optimization. Significantly reduce access costs and complexity with seamless compatibility across platform protocols. Enjoy zero development barriers for direct integration with various applications.
- Open AI
- Claude
- Midjourney
- Pika
- Suno
- Gemini
- Luma
API Applications
Language Processing
Leverage OpenAI GPT models for efficient natural language processing, enhancing text generation and comprehension accuracy.
Creative Imaging
Generate high-quality creative images quickly through Midjourney API, meeting diverse design needs.
Code Generation
Utilize AI models to automate code generation, reducing development time while improving code quality and maintainability.
Multi-Platform Support
Comprehensive API services compatible with various platforms, enabling seamless integration of multiple AI models.
Custom Assistants
Create specialized AI assistants through custom prompts and GPTs to meet domain-specific requirements.
Document Analysis
Perform in-depth analysis and understanding of documents and images using multimodal AI models.
Supported Models
Our platform offers a comprehensive range of APIs, including all official OpenAI models and other popular models in the market. Note: Our pricing is set at 20% less than the official rates! Simply specify the model name to start utilizing the API with ease and flexibility.
Midjourney
High-Speed Direct Connection
Pay Per Use
- Support for all operations including Niji and face swap
- Multiple integration methods
- Script integration support
- 1000+ concurrent requests per minute
- Latest official models and commands
OpenAI All Models
High-Speed Direct Connection
Token-Based Pricing
- Support for all OpenAI models
- File reading, image generation, DALL·E 3
- Billions of TPM in real-time
- Ultra-high concurrency
- Support for all official GPTs
AI Video
High-Speed Direct Connection
Pay Per Use
- Support for mainstream AI models
- Pika, Runway, Luma, Suno
- HD quality, no watermark
- No VPN required
- OpenAI format compatible, text-to-video
Technical Support & FAQs
We provide enterprise-level API services and technical support to ensure your AI applications run stably and efficiently. Here are answers to the most common technical questions from users.
How to verify and ensure the model version used in API calls?
The API response includes a model parameter that can directly verify the model version. Additionally, you can test model features such as complex reasoning capabilities and context understanding depth. Specifically, GPT-4 performs better in handling multi-step logical problems, such as questions requiring deep knowledge associations. We recommend explicitly specifying the required model version through API parameters in production environments.
API Cluster Architecture and High Availability Assurance
We use a distributed cluster architecture with global node load balancing to ensure high availability of API services. We promise 99.9% availability with an average response time of <100ms. For enterprise-level needs, we offer dedicated server deployment solutions, supporting thousands of concurrent requests per second, and can be customized according to business needs.
API Billing and Resource Management Mechanism
We adopt a flexible billing model, supporting both call count and token-based billing methods. Through the token management system, you can set usage limits, monitor API call status, and view detailed usage statistics. Enterprise users can monitor API performance metrics in real-time via the dashboard, including response time, success rate, and error distribution. Custom alert thresholds and real-time anomaly notifications are supported.
Best Practices for Development Integration
We recommend using our provided SDKs for development, supporting mainstream languages such as Python, Node.js, and Java. It is advisable to implement request retries, timeout handling, and error handling mechanisms on the client side. For large-scale deployments, consider using connection pooling and request queuing to optimize performance. Detailed development documentation and sample code are available in the developer center.
AI Startup CTO @Michael
EdTech Product Director @Sarah
Independent Developer @David
Creative Studio Director @Emma