Over the past few weeks, our development updates have been less frequent than usual. However, we would like to reassure everyone that MPP Layer remains actively developed and continues to move forward. Market conditions and token price fluctuations do not change our long-term vision. Our primary focus has always been building sustainable infrastructure, delivering value to users, and creating tools that developers can rely on. Behind the scenes, we have been continuously working on improvements across the platform, including bug fixes, performance optimizations, and enhancements based on valuable feedback from our users, developers, partners, and community members. Every suggestion, report, and piece of feedback helps us refine the product and shape the future of MPP Layer. We deeply appreciate the support and patience from everyone who continues to believe in what we are building. Development is ongoing, progress is being made, and our commitment remains unchanged: to keep building, improving, and expanding the MPP Layer ecosystem. Thank you for being part of this journey. More updates will be shared as we continue to ship new improvements and features. Build. Improve. Repeat.

We’re excited to announce that MPP Layer is now officially listed on @GeckoTerminal , one of the leading platforms for DEX tracking and onchain analytics. This milestone provides broader visibility for our community, traders, developers, and AI agents to monitor MPPL's market activity in real time. geckoterminal.com/solana/poo…

GMGN builders ☕️ Another week, another step toward autonomous intelligence. This week, our focus is on expanding the infrastructure that enables agents not only to execute tasks, but to collaborate, verify, and reason together at scale. 1. Agent Swarms Building a Swarm Coordination Framework that enables multiple AI agents to collaborate, communicate, and execute complex workflows as a unified intelligence layer. 2. Distributed Task Execution Tasks can now be delegated across specialized agents, improving scalability, parallel processing, and overall execution efficiency. 3. Shared Memory Layer Developing a persistent memory architecture that allows agents within a swarm to share context, knowledge, and execution history in real time. 4. Swarm Orchestration Creating orchestration mechanisms for dynamic agent routing, workload balancing, and autonomous decision-making across the network. 5. Verifiable Intelligence Trust remains a core pillar of the protocol. • Proof of Intelligence (Beta) : cryptographic proofs that intelligence-driven actions actually occurred. • Verifiable Compute Framework : transparent verification of computational execution. • Output Verification : validating AI-generated results before they are consumed by downstream agents. • Trust-Minimized Computation : reducing reliance on centralized trust assumptions while maintaining reliability. We're building more than AI agents. We're building an ecosystem where agents can coordinate, remember, verify, and transact with confidence. Back to shipping. More updates throughout the week.

MPP Layer is now listed on @solanatrackr ! You can now track MPPL directly on Solana Tracker: solanatracker.io/tokens/AXCe… Solana Tracker ListingStay updated with realtime market data, trading activity, holders, and token analytics as we continue building the infrastructure layer for agentic commerce on Solana. Token: $MPPL Chain: Solana Contract Address: AXCeFjrSnwXVzGjPewp3kzuEnGHYhvx1x53kkbh9pump More updates are coming soon. We're just getting started.

Without realizing it, I spent nearly 16 hours in full locked in mode working on the MPPL ecosystem today. The latest addition is Rug Check, a new analysis feature designed to help users evaluate token risks more effectively. Naturally, the first token I tested was (@HermesMorph ) $HM, and the results can be seen above. It's always interesting how a simple feature request turns into an entire day of research, development, testing, and optimization. That's probably the hidden side of building infrastructure that most people never see. The feature is currently in the testing phase, and so far the results have been promising. Tomorrow, I'll continue refining, stress-testing, and improving the system before moving closer to production readiness. Still, every update brings MPPL one step closer to becoming a more complete ecosystem for agents, payments, and onchain intelligence. Now it's probably time to log off... unless one more feature idea appears and turns into another 16 hour session. 🚀

Well said. Early builders don't just adopt infrastructure they help define the future of the ecosystem. Keep building, keep shipping, and let's grow the @solana agent economy together. 🤝

Agreed. MPPL is not just about moving money between agents. It's about making payments inspectable and verifiable before execution. We want agents to understand what proof is required, what guarantees are provided, how receipts are structured, and what artifacts will be returned before they spend a single lamport. Trust should be machinereadable, not just documented.

Looking to Integrate AI Payments Into Your Platform? Partner with MPPL and give your ecosystem native monetization for agents, APIs, and AI services. Enable pay per request infrastructure, decentralized service discovery, protocol level trust analytics, and instant Solana settlement all without building payment rails from scratch. While others are still discussing AI economies, your platform can already be running one. Build the future of autonomous commerce with us.

Slow day? Not really. Spent the entire day staring at code, questioning life choices, fixing bugs, creating new bugs, and fixing those too. Anyway, EVM Agent Wallet has just been added to MPP Layer. Agents can now operate with dedicated EVM wallets, opening the door for deeper integrations across the EVM ecosystem. Shipping never stops. ⚡

MPP Layer Development Recap Over the past two weeks, we focused on delivering the core infrastructure required to enable permissionless AI services and autonomous agent commerce on Solana. We successfully completed all planned Phase Two milestones, including the deployment of the HTTP 402 Payment Interceptor on Solana Mainnet Beta, the release of @getmpplayer/sdk v0.1.0, the implementation of the MPP Escrow Program, the Agent Authentication Layer, usage based payment settlement, and a suite of AI intelligence endpoints that form the foundation of machine to machine transactions. On the developer platform side, we launched the Agent Dashboard, Revenue Analytics, API Key Management, Provider Monitoring, Transaction Explorer, and Service Management Console, providing developers and service providers with the tools needed to operate, monitor, and scale their services efficiently. We also completed the first version of the provider ecosystem infrastructure, including the MPP Provider Registry v1, Endpoint Discovery Framework, Provider Reputation Layer, and the initial Service Marketplace, enabling autonomous agents to discover and access services dynamically. To demonstrate the capabilities of the protocol, we built several working showcases, including an Autonomous Trading Agent, Memecoin Trading Agent, Prediction Market Agent, Perpetual Trading Agent, and an AI Research Agent. With all Phase Two objectives now completed, MPP Layer has evolved into a fully operational foundation for autonomous commerce, allowing AI agents to discover services, authenticate, make payments, and consume resources independently. Our next focus is expanding the provider network, enhancing agent capabilities, and accelerating adoption across the broader AI and Solana ecosystems.