One interface,
all models
Token as a Service, a unified OpenAI-compatible API.
Aggregating your own capacity with third-party model providers: intelligent routing, precise metering, observable risk control.
Three Core Capabilities
From unified API to intelligent routing, precise metering, and real-time risk control, covering the full Token distribution lifecycle.
Unified API
One interface to access every model provider. Zero-change migration, reuse your OpenAI SDK directly.
- OpenAI / Anthropic compatible protocol adaptation
- SSE streaming with low-latency first token
- Function calling · Tool use
- Structured output · JSON Mode
- Multimodal · Embedding · Rerank
Smart Routing
A multi-dimensional policy engine that automatically dispatches requests to the optimal backend, balancing cost, experience, and compliance.
- Multi-dimension scoring on price, latency, and success rate
- Quota management & compliance region constraints
- Canary releases & weight-based traffic split
- Fault detection & automatic failover
- Degradation policies & circuit breaking
Metering & Billing
Token-level precise metering covering all billing scenarios, real-time query with transparent bills.
- Cache hits · inference tokens · multimodal billing
- Real-time usage statistics & alerts
- Prepaid / postpaid dual modes
- Tiered pricing & volume discounts
- Billing & automatic reconciliation
Simple to Integrate, Full Control
From console to SDK, a complete toolchain for developers and platform admins.
Console
Visual management and real-time monitoring, all key metrics on one screen.
Developer Tools
Complete SDK and permission system for more efficient team collaboration.
Full-chain visibility,
early risk awareness
Every call is traceable. From request intake to model response, full-chain tracing makes anomalies traceable; content compliance and abuse detection intercept risks at the traffic layer to keep the platform healthy.
Explore risk controlOpenAI-Compatible, Live in 5 Minutes
Just replace base_url and API Key; existing code needs no changes.
# Only replace two config values, leave the rest unchanged from openai import OpenAI client = OpenAI( base_url="https://api.xkcloud.ai/v1", # ACE TaaS endpoint api_key="xk-xxxxxxxxxxxxxxxx", # Your API key ) response = client.chat.completions.create( model="deepseek-v3", # Specify model by name; routing picks the best automatically messages=[{"role": "user", "content": "Hello"}], stream=True, ) for chunk in response: print(chunk.choices[0].delta.content or "", end="")
Start Integrating TaaS Platform
One interface, all models. Contact us for beta access and a dedicated integration plan.