Deep Dive
Overview:
This upgrade allows ERC404-based AI agents (NFTs) to move seamlessly between Base, Abstract, and BNB Chain. It aims to reduce liquidity fragmentation by letting users trade agent tokens across ecosystems. The system will use a bridging protocol with fee-sharing for $STRIKE stakers.
What this means:
Bullish for STRIKE because cross-chain liquidity could increase demand for agent NFTs and associated fees. However, reliance on third-party bridges introduces security risks if audits lag.
2. Full Agent Marketplace (Q4 2025)
Overview:
StrikeBit plans to evolve its Telegram Mini App into a full-fledged marketplace where users buy, sell, or rent AI agents (e.g., trading bots, analytics tools). Features include agent performance metrics, revenue-sharing dashboards, and a public mint system (INOs) for new agents.
What this means:
Neutral-to-bullish. A functional marketplace could boost STRIKE’s utility as the platform token, but success hinges on user adoption and agent quality—poor-performing agents may dampen engagement.
3. Modular Agent Protocol (2025+)
Overview:
The Modular Agent Protocol (MAP) lets users customize AI agents via drag-and-drop logic blocks, swappable subagents, and upgradable modules. Developers can license or resale agents, with royalties paid in $HUB or $STRIKE.
What this means:
Bullish long-term. MAP could differentiate StrikeBit by making AI agents adaptable to niche trading strategies. Execution risk is high—delays or complexity might deter non-technical users.
4. $STRIKE Governance (2025+)
Overview:
A governance module will let $STRIKE holders vote on treasury allocations (marketing, grants), emissions policies, and protocol upgrades. The treasury holds 15% of STRIKE’s supply and fees from agent transactions.
What this means:
Neutral. Governance could increase holder engagement but may dilute team control, potentially slowing decision-making.
Conclusion
StrikeBit’s roadmap prioritizes interoperability (Q4 2025) and customizable AI tools (2025+), with success depending on seamless cross-chain execution and user-friendly agent customization. Will trader demand for modular AI outpace development hurdles?