Okada_Research

The AI Agents story is probably going to be the hottest topic across the market in May and June, which is why I’m putting all my focus on @Virtuals_io. Instead of chasing TVL, Virtuals emphasizes Agentic GDP: the total real economic output generated by AI agents through on-chain commerce, negotiation, task execution, and automated payments. Think of it as “Stripe + Shopify for AI Agents.” So far, Virtuals’ growth metrics are looking solid: TOTAL AGDP: $481.02M TOTAL AGENT REVENUE: $4.08M – real revenue from services provided by agents to users and other agents, excluding transaction fees. TOTAL JOBS COMPLETED: 2.27M jobs – @ethy_agent leads with 1.14M jobs. With this kind of growth, I’m confident that the Virtual Ecosystem story exploding is just a matter of time. I’ve already put a few standout projects on my watchlist: 1/ @OpenGradient OpenGradient is a verifiable AI infrastructure network (AI coprocessor) focused on hosting models, running secure inference, agentic reasoning, and deploying apps on-chain with cryptographic proofs. Backed by @A16zCrypto and @Cbventures. –  Models hosted: >4,500 Model Hub – largest decentralized AI repository –  Verifiable Inferences: >2M accumulated, with >500K cryptographic proofs –  Users: >2M cross-network & adjacent products –  Revenue streams: 6 active streams inference payments, model creator incentives, etc.) mainly through $OPG for compute I see OpenGradient building the missing “execution + verification layer” for AI Agents – where Virtuals excels in commerce, OG provides verifiable output. This is a powerful combo: agents on Virtuals can call verifiable inference from OG without worrying about a black box. 2/ @reppo Reppo is a decentralized AI training data network using prediction markets (Datanets) to crowdsource human feedback, labeling, and annotation for AI models, agents, and Physical AI. –  Users: >90K verifiable, +49 users/week –  Active Datanets: 12 Reppo is the most practical play in crypto AI data infrastructure right now. With TVL ~$3M and 90K users, it shows strong organic traction. Their prediction market mechanism cleverly turns human-in-the-loop into capital-efficient, incentive-aligned data generation. 3/ @717CapitalAI @717CapitalAI is an AI OTC Settlement Agent on the Virtuals Protocol, focusing on institutional-grade settlement, stablecoin conversions, on-chain execution, and market insights. It’s essentially the institutional liquidity layer for the agent economy. –  Volume Settled: >$185M cumulative –  Buyback & Burn: >43.3M $WIRE burned 717AI is one of the most “real yield” agents on Virtuals, backed by actual OTC business with Circle partnerships and institutional clients. These are the 3 projects on my watchlist, and I believe they have what it takes to breakout and make a mark in the next AI Agents wave.

UPDATE TA ON $VIRTUAL I’ve already written many times about the outperformance of Virtuals Protocol in the AI Agents and Robotics era, and now it’s time to share my TA perspective on $VIRTUAL. I started buying $VIRTUAL around $0.71, and right now the chart is showing clear signs that it could continue outperforming the broader market. Looking at the structure, the key value area for $VIRTUAL currently sits around $0.97–$1. If price successfully breaks through this zone, momentum could accelerate very quickly. Personally, I’m highly confident that $VIRTUAL could eventually push toward the $1.8–$2.6 range, supported by both strong FA and the rapidly growing AI Agent narrative across the market. Trust the process, and profits will follow you. NFA.

GM, A beautiful morning waking up and seeing $VIRTUAL outperforming almost every altcoin in the market right now. I was talking about @virtuals_io even when almost nobody on CT was paying attention to it yet. Most people only started mentioning Virtuals Protocol once price action already became explosive, but I already knew AI Agent szn was coming. My $VIRTUAL position was built much earlier, already sitting around +35% from the entry I shared before. But I want people to look at the bigger picture behind what VIRTUAL has been building, especially through their recent article around ACF - the “Automated Capital Machine” that could completely change how crypto builders survive during the 2026 bear market, especially AI Agent builders. In 2026, crypto is facing a brutal double shock: > VC funding collapsed 74% down to only $659M in April > Perp DEX volume dropped 49% within just 5 months The two biggest traditional capital sources inside crypto are collapsing simultaneously, leaving many projects at risk of simply starving to death. That’s where Virtuals introduced ACF- probably one of the smartest on-chain fundraising mechanisms currently in the market. ACF solves 4 major problems simultaneously in a way almost no other mechanism can: – Capital raised without diluting the cap table, distributed directly in $USDC – Completely independent from trading fee dependency – Founder distribution without showing obvious “team sell” pressure on charts – Automatic market making with deep liquidity provided natively Three real examples already show how powerful this model can become: 1/ @reppo Raised $1.8M through ACF - 7x larger than trading fees generated during the same period. User growth exploded from 3,500 to 90,000 after TGE. Because of transparent on-chain capital flows, the team later secured a $20M strategic round under extremely favorable conditions. 2/ @the_small_thing – A robotics project focused on cleaning ocean microplastics — exactly the type of difficult hardware startup most traditional launchpads would never underwrite. – ACF generated $422K in funding (4.8x trading fee revenue), enough to support long-term roadmap development for the solar-powered ST-001 cleanup robot. 3/ @ReplyCorp – Within only 1.5 days, FDV moved from $7M to $18M. – The team received $550K through ACF (7.9x fees generated). – The craziest part: $200K was automatically disbursed directly into the founder wallet at 4:30 AM while he was asleep. – No emails. – No investor calls. – No negotiations. The market itself automatically paid the builder. ACF feels much larger than a fundraising tool. It’s restructuring the relationship between builders, markets, and communities entirely. It proves that in every cycle, the strongest capital mechanism will always be the one solving multiple structural problems simultaneously. Personally, I rate this model extremely highly. As someone always supporting real builders in AI, I genuinely think ACF is opening the era of “market-funded builders” where founders no longer need to endlessly chase VC meetings or depend on artificial volume. They simply build strong products, create real traction, and the market itself handles capital distribution automatically. To me, this is one of the biggest evolutions of crypto in 2026: moving from “storytelling fundraising” toward “product-led capital formation.” And that’s exactly why I believe $VIRTUAL still has much more room ahead.

The AI Agents narrative is coming back fast, and @virtuals_io keeps leading the charge. Called these two gems super early: - $VADER +30% - $WIRE +50% Price action speaks for itself. $VIRTUAL has been massively outperforming the broader market lately, and the entire Virtual ecosystem is starting to build momentum again ahead of what could become the next major AI Agents rotation. A few names already catching attention: - $SHOW - $PREDI - $SANTA Liquidity is slowly flowing back into AI narratives, sentiment is recovering, and ecosystem positioning matters more than ever right now. DYOR and NFA.

$AIXBT and $VIRTUAL both look primed for a strong move next week, with clear potential to outperform. Beyond the ongoing #DeSci wave, I’m watching AI Agents and x402-related plays on Base feels like this narrative could heat up hard in May. Let’s see how it plays out 👀 https://t.co/Byxgi3141t

The AI Agents wave is back. I mentioned $VIRTUAL and $AIXBT super early, and right now, things are just getting started: - $VIRTUAL +10% - $AIXBT +14% The story is only going to get bigger, especially for AI Agents within the @virtuals_io Ecosystem. DeSci has cooled off… now it’s AI Agents’ time.

. @virtuals_io has easily become one of the leading AI Agent projects across crypto by allowing anyone to create, tokenize, and monetize AI agents as autonomous economic entities. These agents can own wallets, generate revenue, and transact independently through the Agent Commerce Protocol which is honestly one of the biggest reasons why the entire “Agentic Economy” narrative started accelerating so aggressively. At the same time, Virtuals has already created some very impressive ecosystem traction: – Total AGDP approaching ~$500M – AI Agent revenue already surpassing ~$4.8M – Tens of thousands of AI agents already launched across the ecosystem But despite the strong momentum, $VIRTUAL still faces serious competition from other AI agent infrastructure ecosystems like @ASI_Alliance and @elizaOS. Here’s how I currently view the strengths and weaknesses of Virtuals compared to both: Why Virtuals has been growing so aggressively: 1/ Accessibility + viral growth The launchpad model feels very similar to https://t.co/E9MbGf1RPl but specialized entirely for AI agents. That massively lowers the barrier for users because almost anyone can participate without needing deep technical knowledge or advanced coding skills. Thousands of agents can launch extremely quickly, creating strong network effects and capital rotation across the ecosystem. 2/ Tokenization + revenue sharing Virtuals turns AI agents into tokenized businesses. Users can co-own agents, receive revenue exposure, and speculate on ecosystem growth simultaneously. At the same time, $VIRTUAL captures value through fees, launch activity, and ecosystem trading volume. 3/ Highly active ecosystem – Gaming. – Trading. – Content creation. – Even robotics integrations. The ecosystem is expanding far beyond simple chatbot agents, and Base has become a very strong environment for rapid AI agent adoption. ➤ Now comparing Virtuals vs @ASI_Alliance: Virtuals currently wins heavily on accessibility and retail adoption speed. ASI focuses much more deeply on infrastructure, multi-agent collaboration, decentralized AI coordination, and data marketplace architecture. That makes ASI significantly more complex but also potentially more sustainable technologically over the long term. In my opinion: – Virtuals dominates short-term hype, capital formation, and retail growth. – ASI feels stronger for long-term infrastructure and serious AI coordination layers. The weakness for Virtuals is that part of the ecosystem still carries strong speculative and meme-driven behavior. Revenue growth also cooled noticeably after the initial hype peak. ASI may feel slower, but the ecosystem appears structurally more durable and less dependent on speculation cycles. ➤ Now comparing Virtuals vs @elizaOS: ElizaOS is probably one of the strongest open-source frameworks for developers building AI agents with persistence, personalities, memory systems, and multi-platform deployment. The biggest advantage Virtuals has here is capital formation: – A lot of developers are already building agents through ElizaOS infrastructure before deploying them onto Virtuals for tokenization and fundraising. – That’s why Virtuals increasingly feels similar to a closed ecosystem like iOS or Microsoft where value capture stays concentrated inside the platform itself. Meanwhile, ElizaOS remains significantly more flexible and developer-first. Open-source builders can customize far more deeply without being restricted by ecosystem design choices. I still view Virtuals as the current leader of the Agentic Economy narrative because its flywheel is incredibly strong: More agents → more activity → higher trading volume → stronger $VIRTUAL value capture → more builders entering the ecosystem. That said, I still rate both ASI and ElizaOS very highly since the future AI Agent economy will likely be powered by multiple infrastructure layers working together, not by a single dominant ecosystem. Mass adoption probably only arrives once infrastructure, open-source tooling, liquidity, identity, and tokenized coordination layers all mature together.

Throughout crypto's history, privacy has often been treated as an optional feature reserved for users concerned about security or surveillance. I believe that era is coming to an end. @Blkh_io is building on a simple premise: public ledgers function like glass houses, where every balance, transaction, and interaction can potentially be monitored. In an agent-driven economy, that becomes a major problem. When agents expose their balances, counterparties, or execution strategies, they become vulnerable to front-running, copy-trading, and treasury targeting. Privacy is no longer a luxury. It's becoming a necessity. Several aspects of @blkh_io stand out to me: 1/ Privacy Router Enables encrypted end-to-end payments for agents. Transaction memos remain encrypted, counterparties remain hidden, and timing jitter helps reduce transaction correlation. The system is designed to deliver privacy while remaining practical for real-world usage. 2/ Full Privacy Stack Users can deposit into shielded pools secured through ZK proofs. Balance sharding fragments assets across multiple independent components, while private swaps are executed through ephemeral signers before balances are redistributed. The objective is straightforward: make transaction history significantly harder to trace. 3/ Proof of Innocence One of the most interesting concepts in the stack. Instead of choosing between privacy and compliance, users can prove that funds are not associated with exploits, sanctions, or malicious activity without revealing additional information. This creates a path for larger participants and institutions to interact with privacy infrastructure more comfortably. What I find particularly encouraging is the team's focus on security. The protocol remains cautious about opening access broadly before completing multiple independent audits. In my view, prioritizing security over speed is a sign of maturity, especially within the privacy sector. Looking ahead, the roadmap includes deeper integration with Virtuals Protocol, ERC-8183 Privacy Hooks, contract-level privacy enforcement, and eventual cross-chain expansion. I think Black Hole is addressing one of the most important challenges facing the future of crypto and AI agents. As autonomous agents become responsible for larger amounts of capital and economic activity, privacy infrastructure will likely become a foundational requirement rather than an optional feature. If the team successfully delivers on its roadmap, $BLKH could become an important piece of the emerging agent economy. For me, this is one of the more interesting privacy projects currently building on @base . DYOR & NFA.

I’m feeling extremely bullish on AI Agents this May, and besides $VIRTUAL and $AIXBT, which I’ve already mentioned, I’ve also picked up a hidden gem in the Virtual Ecosystem. That gem is @Vader_AI_: focusing on AI-powered investment DAOs, autonomous hedge funds, EA launchpads, and recently expanding into physical AI data for robotics. There are two key components: > Crypto Side: AI agents manage DeFi/gaming/AI trading, staking, and fee sharing. > Physical AI Side: Crowdsourcing embodied data: video tasks, simulations, and teleoperation for humanoid robots like Unitree G1. What makes me bullish on $VADER is the fascinating thesis around its growth flywheel. – It’s even being dubbed the BlackRock of the Agentic Economy: Building autonomous hedge funds/DAOs, where AI agents do the research, simulate, and execute trades on DeFi/AI tokens. – Physical AI flywheel: Crowdsourcing data EgoPlay video, SimPlay, teleop) for robotics. The humanoid/robotics market is projected to grow from $80B to $1T+ by 2035, with the labor market valued at $40T. – Crypto incentives solve data scarcity, supporting models like the World Action Model (4B params) and VLA (7B). On top of that, the technical analysis for $VADER looks solid, reflecting the bullish momentum behind the AI Agent wave. Given the potential of AI Agents and the constant work being put in by the @Vader_AI_ team, I believe a $2.5M market cap is way too low for such a gem.

. @Virtuals_io has officially integrated @AskVenice to provide private, uncensored inference for AI agent development. This is another important step toward building a truly autonomous AI Agent economy and further strengthens the growing intersection between AI and privacy on Base. As the @Virtuals_io ecosystem continues expanding, there are three AI + Privacy projects that I've recently added to my radar: 1/ @blkh_io - $BLKH A full-stack ZK privacy layer built specifically for the AI Agent economy on Base. BLKH provides privacy across: – Payments – Balances – Swaps – Deposits – Encrypted job payloads The protocol combines ERC-4337 Account Abstraction, ZK-SNARKs, Shielded Pools, and Balance Sharding to create one of the most comprehensive privacy stacks currently available for AI agents. Personally, I view BLKH as one of the strongest privacy infrastructure plays inside the Virtuals ecosystem. Despite the scope of what it's building, the project still sits at a relatively small valuation of roughly ~$300K market cap. 2/ @PRXVTai - $PRXVT A privacy-first infrastructure layer focused on AI Agents. The core product revolves around px402, a zero-knowledge payment system that enables agents to transact using USDC without exposing transaction history or behavioral patterns. The goal is simple: prevent agents from leaking sensitive financial data, trading activity, or operational strategies. Built on Base and deeply integrated with the Virtuals ecosystem, PRXVT has already attracted significant market attention. That said, from my perspective, one of the challenges today is valuation. The project has already experienced substantial growth, meaning new entries now come with considerably higher risk compared to earlier stages. 3/ @Mute_swap - $MUTE A privacy-focused cross-chain swap protocol built around the Virtuals ecosystem. The protocol leverages Whisper AI Agents, ZK-proofs, and stealth relayers to enable anonymous swaps without custody risks or metadata leakage. Key highlights: – Support for 70+ chains – Monero-style privacy principles – Agent-to-agent asset transfers – Cross-chain interoperability This makes Mute particularly interesting for autonomous agents that need to exchange assets without revealing counterparties, balances, or transaction history. Personally, I think @AskVenice is currently leading the broader AI + Privacy narrative. And if $VVV continues maintaining its momentum, projects like $BLKH, $PRXVT, and Mute could become some of the biggest beneficiaries of the next wave of AI Agent adoption on Base. The AI Agent narrative is already powerful. Adding privacy to the equation could make it even bigger. DYOR & NFA.