📈Phase 3: Growth
This stage evolves Axom AI from an advanced assistant layer into a fully programmable AI-driven infrastructure layer with native on-chain intelligence, real-time insights, and protocol-level visibility.
MCP Oracle System Axom AI will integrate an on-chain oracle layer for MCPs, enabling to publish structured outputs and status updates directly to smart contracts. This unlocks real-world use cases like AI-triggered contract automation, multi-agent workflows and verifiable data publishing for decentralized applications.
Behavioral Monitoring & AI Triggers Will gain the ability to track behavioral signals, usage trends, and stateful changes across sessions. These signals can be tied to automated alerts or on-chain triggers, for example, monitoring wallet activity, flagging abnormal API behavior, or detecting suspicious user input patterns. This layer acts as an intelligent observability framework baked directly into Axom AI’s runtime.
Expandable LLM Ecosystem To keep the Axom runtime model-agnostic and future-proof, will introduce plug-and-play support for external LLMs. This includes open-source models, closed APIs, and hybrid architectures. Developers can select models based on task fit, latency, or cost - allowing to operate with optimal context-awareness across MCPs.
Developer Dashboard A full-featured developer dashboard will launch to help MCP authors manage their deployments. This includes live analytics on usage, latency, and success/failure rates; agent interaction logs; tool call traces; and memory/session inspection. Developers gain full visibility into how their modules are being used, helping them debug, optimize, and expand their offerings.
Marketplace Network Expansion Expand the MCP listing registry to include user ratings, version history, usage metadata, and public subscription access. This allows both individuals and organizations to discover and connect to high-quality MCPs, subscribe to public-facing tools, or offer paid access to premium capabilities. Verified MCP authors can monetize their services and track adoption metrics across the ecosystem.
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