只维护一套接口
通过统一 API 连接 GPT、Claude、Gemini 等主流模型,减少重复适配、密钥管理和迁移工作
通过一个统一入口连接 GPT、Claude、Gemini 等主流大语言模型,简化接口适配、密钥管理、计费与运维,让模型使用更轻松、更可控。
DatSet 将不同模型的接入方式统一到清晰、稳定的调用层,让团队能够专注于产品和业务,而不是反复处理接口差异
通过统一 API 连接 GPT、Claude、Gemini 等主流模型,减少重复适配、密钥管理和迁移工作
根据推理、代码、多模态、时延和成本需求调整模型组合,应用层无需反复重构
结合健康检测、路由策略与备用端点,在模型或通道异常时降低对业务的影响
OpenAI 旗舰级热门模型,面向复杂推理、代码工程、专业知识工作和长链路 Agent 任务,适合高价值生产场景。
OpenAI 新一代图像生成模型,适合高质量视觉创作、营销素材、产品图和多风格内容生成。
Anthropic 当前主力高能力模型,擅长企业级 Agent 编程、长文档分析、工具调用和严谨业务流程处理。
Google 最新高热度快速模型,在保持前沿智能的同时强调响应速度,适合实时助手、多步骤任务和轻量代码协作。
DatSet 不只是转发请求,而是把全球模型接入、路由、权限、预算和观测能力组合成企业可持续使用的模型基础设施。
使用一套 API 和统一认证方式连接多类模型,减少重复开户、接口适配和密钥管理工作。
减少重复集成根据模型可用性、时延、任务类型与预设策略选择端点,并在异常时切换备用路径。
提升业务连续性按企业、部门、项目和成员分配额度,设置预警规则,避免调用量和费用失控。
成本清晰可控集中查看模型调用、Token 用量、响应时延、错误率和成本趋势,辅助模型选型。
让使用情况可见管理 API Key、团队权限、模型范围和调用记录,为内部安全管理与问题排查提供依据。
适合多人协作提供接入文档、示例代码和企业对接支持,帮助团队更快完成首个模型调用。
降低使用门槛根据实际使用主体和业务场景提交基本资料,确认可使用的模型范围和服务方案。
通过统一接口接入应用,在控制台选择模型、配置额度和团队权限。
根据调用量、响应速度、错误率和成本数据,调整模型组合与路由策略。
用统一接口测试对话、推理、代码和多模态模型,缩短选型与开发周期。
结合不同模型特长构建客服、研究、编程和内容生产智能体。
统一分配密钥、额度和权限,减少员工各自采购、各自维护带来的风险。
为模型厂商和服务伙伴提供本地化接入、开发者支持与企业合作通道。
DatSet 提供统一的模型调用入口和兼容主流开发方式的接口。应用层保持稳定,模型层可以根据业务需求持续调整。
获取接入文档全球模型服务受模型提供方政策、服务地区、业务主体和适用法律影响。DatSet 将根据实际合作条件确认可用模型和服务方式。
接入范围以控制台与双方服务协议为准,并会根据模型提供方政策、服务地区、合作渠道、主体资质及合规要求进行动态更新。
不止于统一入口。DatSet 将模型路由、额度分配、权限治理、用量分析、日志审计与成本管理沉淀为企业级多模型管理层。
数据流向取决于实际模型端点与部署方案。正式合作前会明确传输路径、保存周期、模型提供方数据政策及跨境数据要求。
支持按项目评估自有 API、私有模型、自托管端点与混合云接入,并在统一控制台完成配置、权限与调用治理。
Connect GPT, Claude, Gemini and other leading models through one unified gateway. Simplify integration, keys, billing and operations while keeping usage visible and controlled.
DatSet brings different model interfaces into one clear and reliable access layer, so teams can focus on products and business instead of repeated integration work
Connect GPT, Claude, Gemini and other leading models through one API, reducing repeated integration, key management and migration work
Adjust the model mix for reasoning, coding, multimodal, latency and cost needs without rebuilding the application layer
Use health checks, routing policy and backup endpoints to reduce business impact when a model or channel is unavailable
Massive model services that connect business scenarios including reasoning & Q&A, code development, and multimodal creation.
Flagship popular OpenAI models are built for complex reasoning, software engineering, professional knowledge workflows and long-chain Agent tasks, suited for high-value production scenarios.
New-generation OpenAI image generation models are optimized for high-quality visual creation, marketing materials, product imagery and multi-style content production.
Anthropic’s current core high-performance models excel at enterprise Agent programming, lengthy document analysis, tool calling and rigorous business workflow processing.
Google’s latest popular fast models deliver cutting-edge intelligence with optimized response latency, fit for real-time assistants, multi-step tasks and lightweight code collaboration.
DatSet goes beyond request forwarding by combining model access, routing, permissions, budgets and observability into sustainable enterprise AI infrastructure.
Connect multiple model providers through one API and authentication method, reducing repeated onboarding, integration and key management.
Less repeated integrationSelect endpoints by availability, latency, task type and policy, with backup routes when exceptions occur.
Improve continuityAllocate quotas by organization, team, project and member, with alerts to keep usage and spend under control.
Clear, controlled costMonitor requests, token usage, latency, error rates and cost trends in one place to guide model selection.
Make usage visibleManage API keys, team permissions, model access and request records for internal security and troubleshooting.
Built for team collaborationUse clear documentation, example code and enterprise support to complete the first model request faster.
Reduce onboarding frictionProvide basic account and use-case information to confirm the available model range and service plan.
Connect your application through the unified API, then configure models, quotas and team permissions in the console.
Adjust model selection and routing based on usage, latency, error rates and cost data.
Test chat, reasoning, coding and multimodal models through one interface to shorten evaluation and development cycles.
Combine model strengths to build agents for support, research, coding and content workflows.
Allocate keys, quotas and permissions centrally, reducing risk from fragmented purchasing and maintenance.
Provide model vendors and service partners with integration, developer support and enterprise collaboration channels.
DatSet provides one model access point with familiar API patterns. Keep the application layer stable while the model layer evolves with business needs.
Get API DocumentationModel services are subject to provider policy, service region, contracting entity and applicable law. DatSet confirms model availability and service methods based on actual engagement conditions.
The final catalog is shown in the console and service agreement, and may change based on provider policy, region, channel and account eligibility.
Beyond unified access, DatSet provides routing, quotas, permissions, usage analysis, logs and enterprise governance as a multi-model management layer.
Data handling depends on the selected model endpoint and deployment plan. Data flow, retention, provider policy and applicable transfer requirements should be confirmed before production use.
Private APIs, models, self-hosted endpoints and hybrid access can be evaluated per project and managed through the same console.