> For the complete documentation index, see [llms.txt](https://candora.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://candora.gitbook.io/whitepaper/candora-pro/candora-edge.md). # Candora Edge AI Agent Infrastructure, Agent Builder & Marketplace Ecosystem ### AI-Powered Trading, Automation, and Agent Ecosystem Candora Edge is Candora's AI agent ecosystem. It provides users with three primary ways to use AI within the Candora platform: * use [Candora Agent](/whitepaper/candora-pro/candora-edge/candora-agent.md), Candora's native AI-powered trading assistant * build custom agents through [Agent Builder](/whitepaper/candora-pro/candora-edge/agent-builder.md) * discover, deploy, and monetize agents through [Edge Marketplace](/whitepaper/candora-pro/candora-edge/marketplace.md) Traditional trading platforms primarily focus on execution. Candora Edge expands that model by combining AI-assisted trading, intelligent automation, and agent distribution within a unified environment. Edge operates natively on top of Candora's infrastructure and integrates directly with [Orbit](/whitepaper/candora-grid/orbit.md), [Pulse](/whitepaper/candora-grid/pulse.md), [Oracle](/whitepaper/candora-grid/oracle.md), [Risk Engine](/whitepaper/candora-grid/risk-engine.md), [Vault](/whitepaper/candora-grid/vault.md), and [Cortex](/whitepaper/candora-grid/cortex.md). This allows users and agents to access intelligence, automation, and execution workflows without bypassing the safeguards, fairness guarantees, or operational controls that govern the broader platform. The objective is not to replace traders. The objective is to give users better tools for analysis, automation, and agent deployment while preserving user control, accountability, and exchange neutrality. ## Three core features Candora Edge is organized around three primary user-facing features. ### [Candora Agent](/whitepaper/candora-pro/candora-edge/candora-agent.md) Candora Agent is Candora's native AI-powered trading assistant. It helps users understand market conditions, monitor developing events, evaluate opportunities, and execute user-authorized trades according to user-defined risk parameters, trading preferences, and portfolio objectives. Users can interact with Candora Agent conversationally to analyze markets, evaluate trading ideas, build strategies, and define how the agent should operate, including risk tolerance, profit objectives, trading style, capital allocation limits, and execution permissions. Candora Agent combines conversational market analysis with automated trade execution, allowing users to work directly with an AI trading assistant that operates within predefined permissions and platform controls. At the core of Candora Agent is Candora's proprietary intelligence framework, combining **Event Intelligence**, **Influencer Intelligence**, **Technical Analysis**, **On-chain Intelligence**, and portfolio-aware analysis to evaluate market conditions from multiple perspectives. Rather than simply generating signals, Candora Agent explains the reasoning behind its assessments, highlights the factors influencing its conclusions, and provides confidence scores to help users make more informed trading decisions. For users seeking immediate access to AI-assisted trading and market analysis, Candora Agent serves as the primary entry point into Candora Edge. ### [Agent Builder](/whitepaper/candora-pro/candora-edge/agent-builder.md) Agent Builder is the AI-powered strategy development environment of Candora Edge. It enables users to create, test, and deploy intelligent trading agents through natural language rather than traditional software development. Instead of writing automation code or building execution infrastructure, users describe strategies, objectives, and constraints conversationally while AI transforms those instructions into deployable trading agents operating within Candora's permission-aware architecture. Users can create agents tailored to trading, portfolio management, market monitoring, risk supervision, execution automation, and specialized analytical workflows. Before deployment, agents can be evaluated through simulation and historical replay environments to better understand how they may behave under varying market conditions. Agents created through Agent Builder may remain private, be shared selectively, or be published through the Edge Marketplace. ### [Edge Marketplace](/whitepaper/candora-pro/candora-edge/marketplace.md) Edge Marketplace is the distribution and monetization layer of Candora Edge. It allows users to discover, deploy, evaluate, and monetize agents built within the ecosystem. Creators can publish agents under supported subscription, licensing, or usage-based models settled in CAN. Users can browse available agents, review operating characteristics, evaluate performance history, and deploy automation without building systems themselves. This enables valuable trading automation and specialized expertise to be distributed through a shared marketplace while remaining subject to Candora's runtime controls and enforcement framework. ### The Edge workflow The features of Candora Edge are designed to work together while serving different user needs. Users may begin by using Candora Agent for AI-assisted market analysis, event interpretation, and user-authorized trading support. Users who require specialized automation can use Agent Builder to describe their trading strategies, portfolio objectives, analytical frameworks, and risk policies through natural language. AI transforms those requirements into deployable trading agents that can be refined, simulated, and deployed within Candora Edge. Successful agents may remain private or be published through Edge Marketplace, allowing creators to monetize their systems while enabling other users to deploy them without building automation from scratch. This creates a unified ecosystem where users can use Candora's native AI agent, build custom agents, and distribute successful automation through a shared marketplace. ### [Supporting infrastructure](/whitepaper/candora-pro/candora-edge/infrastructure.md) Candora Edge is supported by infrastructure that provides runtime controls, permissions, validation, auditability, sandboxing, and market-integrity enforcement. These systems govern how agents operate and ensure that automation remains accountable, transparent, and compliant with platform rules. While these capabilities are essential to the operation of Candora Edge, they function as supporting infrastructure rather than primary user-facing products. ### Execution neutrality Candora Edge provides intelligence and automation. It does not provide execution advantages. Neither Candora Agent nor third-party agents receive special matching treatment, queue priority, latency advantages, fill preference, or privileged access to market infrastructure. All actions generated by Edge agents enter the same deterministic execution path as every other user and remain subject to the same market-integrity controls, risk requirements, admission checks, and matching rules. Automation may improve decision-making. It does not alter market fairness. ### User control and accountability Candora Edge is designed around the principle that automation should remain accountable to the user. Users define what an agent may observe, which actions it may perform, how much capital it may deploy, and under which conditions it may operate. Authority remains bounded by user-defined permissions and platform controls. Users may operate agents in observation-only mode, recommendation mode, confirmation-required workflows, or fully authorized execution environments depending on their preferred level of involvement. This approach allows automation to remain powerful without becoming opaque, uncontrollable, or capable of operating outside user intent. ### System role summary Candora Edge serves as: * Candora's AI agent ecosystem * the home of Candora Agent * the custom agent development environment * the deployable agent marketplace * the strategy monetization network * the programmable trading layer of Candora By combining native AI trading assistance, custom automation, agent distribution, monetization, and platform enforcement within a unified framework, Candora Edge enables users to analyze markets, deploy intelligent agents, build proprietary automation, and monetize successful strategies without compromising control, accountability, or market fairness.