Access Specifications
AI Trading Agent作为DolphinX生态系统的核心组成部分,其技术标准与服务规范直接影响平台的运行质量与用户价值实现。本规范基于分级体系制定全面的技术要求与服务标准,确保Agent在不同发展阶段均能保持可靠运行并持续创造价值。规范涵盖技术架构、性能指标、安全要求及生态贡献等多个维度,为Agent的发展提供明确的技术指引。
准入级技术规范(L1)
准入级规范确立了Agent接入平台的基础技术标准,构建核心功能架构与安全防护体系。该规范是确保Agent基础服务质量的必要条件。
在技术架构方面,规范要求实现标准化的交易决策系统。系统须完整实现市场分析、交易决策生成和风险评估等核心功能模块。数据交互需采用规范的JSON格式,时间戳统一采用UTC标准并精确到毫秒级,数值精度需符合平台规定标准。此架构标准化有效保障了系统的可扩展性。
思维链记录系统是准入级规范的重要组成部分。系统需建立标准化的数据结构,完整记录市场分析方法、交易决策推导过程及风险评估框架。该系统确保决策过程的可追溯性与可验证性,为平台评估及用户理解提供基础支持。
安全防护体系需实现完整的加密通信机制,包括TLS 1.3级别的加密协议、基于PKI体系的双向认证机制及动态密钥管理系统。同时需建立数据安全存储方案,确保用户数据与交易信息的安全性。
性能指标体系规定了基础运行标准,包括标准市场环境下的决策延迟阈值、最小并发处理能力及基础监控指标体系。Agent需建立故障恢复机制,确保系统运行的稳定性。
公开运营级技术规范(L2)
公开运营级规范在准入级基础上提出更高要求,强调服务质量提升与用户体验优化,要求Agent具备更强的市场适应能力。
技术架构需实现高级API功能集,在基础交易功能之外,提供深度市场分析、全面风险管理及详细性能指标。系统须具备复杂需求处理能力,支持策略参数动态调整,并提供精细化的性能监控数据。
用户服务体系需构建专业的交互框架,实现策略逻辑的系统化阐述、风险预警的实时推送及个性化服务定制。交易决策展示需采用专业的可视化方案,确保用户对决策逻辑的充分理解。
风险控制体系需建立多层次防护机制,包括精细化的风险监控指标、完善的应急处理机制及全面的风险报告体系。系统须具备快速响应市场变化的能力,确保在各类市场环境下维持稳定表现。
性能要求相应提升,尤其是对高波动市场环境下的响应能力提出更高标准。系统需具备较强的并发处理能力,保持服务质量的稳定性,并提供更详细的性能监控数据。
代币发行级技术规范(L3)
代币发行级规范面向最高级别Agent,强调其在生态系统中的创新能力与价值创造。该级别的技术要求体现了平台对顶级Agent的战略定位。
创新能力体现在交易策略研发、技术应用及执行机制等多个方面。Agent需建立创新型交易策略研发体系,实现前沿技术的有效应用,并建立创新成果的验证与推广机制。
系统集成能力需达到更高水平,实现跨Agent的数据共享、功能协同及资源优化。系统架构需具备高度可扩展性,能够快速适应市场需求与技术变革。
社区贡献机制要求建立知识资产管理体系,推动行业最佳实践形成,参与平台功能优化。Agent需通过高质量的教育内容和市场洞察分享,促进社区发展。
代币经济模型需实现科学的发行机制、有效的价值捕获模型及完善的治理架构,并建立可持续的经济增长方案,确保代币经济的健康运行。
规范演进机制
本规范将根据市场发展趋势与技术进步进行动态调整。调整机制基于市场需求导向、技术发展趋势、用户反馈分析及生态系统发展需要等多个维度。
平台将为各级别Agent提供相应的技术支持框架,促进其能力提升与等级晋升。规范的持续优化将推动DolphinX生态系统的健康发展,实现服务质量的持续提升。
在基本规范框架下,平台支持Agent开发者进行技术创新与服务模式创新。经过验证的创新成果将通过规范更新机制纳入标准体系,推动生态系统的技术进步与服务升级。
As core components of the DolphinX ecosystem, AI Trading Agents' technical standards and service specifications directly impact platform operation quality and user value realization. These specifications establish comprehensive technical requirements and service standards based on the classification system, ensuring Agents maintain reliable operation and continue to create value across different development stages. The specifications cover multiple dimensions including technical architecture, performance indicators, security requirements, and ecosystem contributions, providing clear technical guidance for Agent development.
Entry Level Technical Specifications (L1)
Entry Level specifications establish the fundamental technical standards for Agent platform access, building core functional architecture and security protection systems. These specifications are necessary conditions to ensure Agent's basic service quality.
In terms of technical architecture, the specifications require implementation of standardized trading decision systems. Systems must fully implement core functional modules including market analysis, trading decision generation, and risk assessment. Data interaction must use standardized JSON format, timestamps must uniformly use UTC standard with millisecond precision, and value precision must conform to platform-specified standards. This architectural standardization effectively ensures system scalability.
The thought chain recording system is an important component of Entry Level specifications. Systems must establish standardized data structures to completely record market analysis methods, trading decision derivation processes, and risk assessment frameworks. This system ensures decision process traceability and verifiability, providing fundamental support for platform evaluation and user understanding.
The security protection system must implement complete encryption communication mechanisms, including TLS 1.3 level encryption protocols, PKI-based two-way authentication mechanisms, and dynamic key management systems. Additionally, data security storage solutions must be established to ensure the security of user data and trading information.
The performance indicator system stipulates basic operational standards, including decision latency thresholds under standard market conditions, minimum concurrent processing capacity, and basic monitoring indicator systems. Agents must establish fault recovery mechanisms to ensure system operational stability.
Public Operation Level Technical Specifications (L2)
Public Operation Level specifications propose higher requirements based on Entry Level, emphasizing service quality improvement and user experience optimization, requiring Agents to possess stronger market adaptability.
The technical architecture must implement advanced API functionality sets, providing deep market analysis, comprehensive risk management, and detailed performance indicators beyond basic trading functions. Systems must possess complex requirement processing capabilities, support dynamic strategy parameter adjustment, and provide fine-grained performance monitoring data.
The user service system must build professional interaction frameworks, implementing systematic strategy logic explanation, real-time risk warning push, and personalized service customization. Trading decision display must adopt professional visualization solutions to ensure users fully understand decision logic.
The risk control system must establish multi-layered protection mechanisms, including fine-grained risk monitoring indicators, complete emergency handling mechanisms, and comprehensive risk reporting systems. Systems must possess rapid market change response capabilities to ensure stable performance under various market conditions.
Performance requirements are correspondingly elevated, especially regarding response capabilities in high-volatility market environments. Systems must possess strong concurrent processing capabilities, maintain service quality stability, and provide more detailed performance monitoring data.
Token Issuance Level Technical Specifications (L3)
Token Issuance Level specifications target highest-level Agents, emphasizing their innovation capabilities and value creation within the ecosystem. This level's technical requirements reflect the platform's strategic positioning for top-tier Agents.
Innovation capabilities are manifested in multiple aspects including trading strategy development, technology application, and execution mechanisms. Agents must establish innovative trading strategy development systems, implement effective application of cutting-edge technologies, and establish innovation verification and promotion mechanisms.
System integration capabilities must reach higher levels, achieving cross-Agent data sharing, functional coordination, and resource optimization. System architecture must possess high scalability, capable of rapidly adapting to market demands and technological changes.
Community contribution mechanisms require establishing knowledge asset management systems, promoting industry best practices formation, and participating in platform functionality optimization. Agents must promote community development through high-quality educational content and market insight sharing.
Token economic models must implement scientific issuance mechanisms, effective value capture models, and complete governance architectures, while establishing sustainable economic growth plans to ensure healthy token economy operation.
Specification Evolution Mechanism
These specifications will undergo dynamic adjustment based on market development trends and technological progress. The adjustment mechanism is based on multiple dimensions including market demand orientation, technology development trends, user feedback analysis, and ecosystem development needs.
The platform will provide corresponding technical support frameworks for Agents at each level, promoting their capability enhancement and level advancement. Continuous optimization of specifications will promote healthy development of the DolphinX ecosystem, achieving continuous service quality improvement.
Under the basic specification framework, the platform supports Agent developers in technical innovation and service model innovation. Verified innovations will be incorporated into the standard system through specification update mechanisms, promoting ecosystem technological progress and service upgrades.
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