What is X-All in one
X-All in one is a self-developed AI API platform focused on providing high performance and cost-effectiveness. Leveraging the national-level computing infrastructure of the three major telecom operators, it has strong elastic scaling capabilities and cross-regional scheduling capabilities, enabling rapid expansion and efficient utilization of computing power. X-All in one adopts a distributed design, with independent development from underlying computing power scheduling to application interface delivery. Its overall performance is outstanding, with first-packet response time 30% faster than the industry average, ensuring millisecond-level response. X-All in one provides full lifecycle services, covering model selection, custom optimization, deployment and operations, and more. A professional technical team monitors system status in real time 24/7 to ensure service stability. Its full range of models is priced at 80% of the market average, with actual usage costs more than 20% lower. Through computing power pooling and intelligent scheduling technology, it further reduces AI application costs. Billing is transparent, based on actual usage, with no hidden fees.
Main features of X-All in one
- Tensdaq: means Tensor+Nasdaq, and the business model is bidding AI MaaS service. Tensdaq through innovativebidding mechanism , allows developers and enterprises to truly control pricing and move away from the "one-size-fits-all" pricing model! It can also smooth peak demand and fill valleys, regulate user behavior in a market-based way, and allow high-demand but cost-sensitive users to perform inference during off-peak periods, reducing resource misallocation.
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Independent computing power scheduling engine: A self-developed distributed scheduling system that intelligently allocates computing power resources, ensuring service stability under high concurrency and avoiding interruptions.
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High-performance API service: First-packet response time is 30% faster than the industry average, providing a smooth experience for real-time interaction scenarios.
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One-stop developer console: The visual interface supports request monitoring and usage analysis, improving development efficiency and making costs transparent and controllable.
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Unified multi-model management: Supports mixed calls to different models within the same project, simplifying the development process and flexibly meeting business needs.
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Security assurance system: Uses TLS + RSA end-to-end encryption, phased encrypted inference to protect data security, and fine-grained permission management to ensure secure resource isolation.
How to use X-All in one
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Register to get resources: Visit the X-All in one official website https://www.x-aio.com/ to complete registration, and automatically receive a 20 yuan initial bonus (the bonus supports use of the bidding API service)。
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Select and configure: Log in to the console and obtain your dedicated API key.
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Integrate: Configure the API key into your agent or AI application, and integrate it into the application through simple API calls.
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Monitor: Monitor usage and performance metrics in real time, and adjust configurations as needed to optimize the experience.
- Use Tensdaq
- Enter the Tensdaq page: Browse the list of models currently supporting the bidding service, read the bidding service instructions, and activate the bidding API feature.
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- Set bid:
- Find the corresponding model in Tensdaq
- Enter the maximum price you are willing to pay per million Tokens (priced by input price; output price is determined by the model type with a fixed output billing multiplier)
- Set bid:
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- After each hour, you can see that the price has been successfully applied. You can click API Price Change Details to view price changes over the past up to 24 hours. The data includes hourly averages, peak values, and trough values.
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- API Calls: When calling the API, select Tensdaq API to make the call.
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- Tips: For first-time use, it is recommended to set a bid slightly above the market average price (about 10-15%) to ensure service stability, and then gradually optimize it based on your experience! For high usage with low real-time requirements, you can shift to off-peak periods and schedule during price troughs.
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Documentation: Consult the complete API documentation and code examples, and quickly integrate using SDKs for mainstream programming languages.
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Problem Communication: If you encounter problems, you can contact the 7×24-hour professional technical support team at any time. The average problem resolution time is less than 2 hours.
Core Advantages of X-All in one
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National Team Computing Power Support: Relying on the national-level computing infrastructure of the three major operators, it is safe and reliable, providing strong underlying support.
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Elastic Scaling Capability: Computing power scale can be rapidly and dynamically expanded according to business needs, easily handling traffic peaks and ensuring service stability.
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Cross-Regional Scheduling: Intelligent scheduling algorithms achieve optimal node selection, ensuring low latency and high availability services, and improving user experience.
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Full Lifecycle Services: Provide professional technical support from model selection and custom optimization to deployment and operations, covering the entire lifecycle of the application.
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7×24-Hour Assurance: A professional technical team monitors system status in real time to ensure service stability and high availability.
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Outstanding Cost Effectiveness: Through computing power pooling and intelligent scheduling technology, reduce AI application costs by more than 20%. The pricing of all models is 80% of the market average price.
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Transparent Pricing: No hidden fees, billing based on actual usage, high billing precision, and users can finely control costs.
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Independent and Controllable: Full-process independent research and development from computing power scheduling to interface delivery, ensuring technological independence and controllability.
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Technical Strength Assurance: The core team has an average of more than 6 years of industry experience, a stable infrastructure, and a phased encrypted inference engine to ensure data security.
Application Scenarios of X-All in one
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Intelligent Agent (Agent) Development: Provides high-performance APIs and elastic computing power support for complex reasoning chains, ensuring smooth and stable agent responses, and maintaining good performance even during business peaks.
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Enterprise AI Application Integration: Supports enterprise-level applications such as intelligent customer service systems, content generation platforms, and data analysis assistants. By mixing and calling multiple models, it optimizes dialogue quality, improves content output efficiency and decision-making efficiency, while ensuring data security.
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Developer Ecosystem Services: Provides cost-effective computing power support for individual developers, startup teams, and academic research, lowering development barriers and upfront investment, accelerating the transformation of research results, and helping developers quickly build and deploy intelligent applications.