# Platform Architecture Agent Arc is designed as both a data layer and market execution infrastructure, built to operate continuously, enforce constraints, and remain observable at all times. #### Autonomous Execution Layer At the core of the platform is an execution engine that operates directly on connected exchange accounts using secure, non-custodial APIs. Agents monitor markets in real time and execute trades autonomously within user-defined boundaries. Execution is optimized for latency, liquidity, and capital efficiency while enforcing strict risk limits at every step. #### Intelligence & Decision Layer Agent Arc processes market structure, price action, volatility, liquidity, and sentiment signals to form a unified view of market conditions. Rather than relying on static rules, agents adapt dynamically as regimes shift. Decision outputs are treated as execution inputs, not black-box predictions, and are continuously evaluated against risk and exposure constraints. #### Control & Legibility Layer The Arc Terminal provides a natural-language interface to the system. Users can query portfolio state, trade rationale, exposure, and market context in real time. This layer translates complex system behavior into human-readable explanations, allowing users to understand *what the system is doing and why* without interrupting execution. #### Risk & Safety Framework Risk is enforced at the system level, not manually. Position sizing, leverage, exposure limits, and stop conditions are applied automatically across all agents and venues. The architecture is designed to prevent emotional intervention while allowing users to adjust constraints at any time. #### Modular Agent Design Agents are modular by design. New agents, strategies, and execution logic can be introduced without disrupting the core infrastructure. PSYOPS serves as the first reference agent running on this architecture. Agent Arc’s architecture is built to support autonomous capital that executes continuously while remaining transparent, controllable, and resilient as markets evolve. *** --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://agent-arc.gitbook.io/agent-arc-docs/overview/litepaper/platform-architecture.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.