The AI on base tier list OG - @AskVenice - @virtuals_io - @bankrbot - @ribbita2012 - @openservai - @b3labs - @Uptopia_xyz - @AskSurplus - @BlockRunAI - @aeonframework Based - @OpenGradient - @zyfai_ - @sibylcap - @Korprotocol - @mamo - @basemateagent - @aixbt_agent - @DopaMintLabs - @capacitr_xyz - @miroshark_ - @QuotientHQ - @reppo - @gitlawb - @usedotai - @ClawBankHQ Active - @wardenprotocol - @hellominds_ - @officialbunnyos - @ethy_agent - @PRXVTai - @munifyai - @liminalcash - @heurist_ai - @1clawAI - @peerxyz - @myrad_hq - @Agent0ai - @ArAIstotle - @imgn_ai Early - @useOttoAI - @openroboto - @moneydotmachine - @zeroclick - @solacelaunch - @codedotmarkets - @MossAI_Official - @BV7X_ - @zbase__ - @Capminal - @Clawnch_Bot Who are we missing? 👇

we've been spending a lot of time building across the onchain ecosystem at @aomi_labs, working with builders and figuring out what they actually need to ship. now that aomi build is live, developers can run agents onchain and start building with things like: - @arc, StableFX - @circle's Agent Stack - x402 - @BlockRunAI - agent payments - onchain data - AI services - external APIs and tools - MCP while bringing their own tools and workflows into the mix. a lot more we want to do with this, but so glad to finally have it out. build.aomi.dev

AI on Base 48H Recap what happened across AI, agents, x402, and robotics on @base: x402 ■ @BlackRock highlighted x402-style payments as infrastructure for agents buying data, tools, and compute on demand. ■ @CoinbaseDev added stock trading for agents, with x402 payments for live market data and no subscriptions. ■ @BlockRunAI is powering Aomi agents that pay for models, data, and compute with USDC across Base and other chains. ■ @OpenGradient crossed 180K x402 settlement transactions on Base for machine-paid AI inference. ■ @zeroclick partnered with Tempo on MPP, letting agents buy through storefronts while sellers receive Stripe payments. Private AI ■ @OpenGradient served 742K private AI conversations and processed 6.6B encrypted tokens. ■ @AskVenice added anonymous access to GPT-6 Sol and GPT-6 Luna. ■ @usedotai processed 6.18B tokens this week and is preparing inference credits for $DOT holders. ■ @Flock_io released THIS / THAT 1.1 with nearly 2x improvement on its complex-decision test. Agents ■ @KorProtocol crossed 50K KOR ID mints, bringing more users into its agent-ready music licensing ecosystem. ■ @DopaMintLabs went live on Base with intent-based agents that turn chat and iMessage requests into onchain and real-world actions. ■ @openservai opened four builder tracks around SERV Reasoning, with $1K SERV for each track winner and another $1K USDC for the best overall build. ■ @ClawBankHQ added policy controls for agent permissions, approval limits, 2FA, and wallet actions. ■ @hellominds_ opened Hype Meter beta for assessing tokens, stocks, and NFTs with a public leaderboard. Compute & Security ■ @b3labs opened B3IQ for H200 ownership with installment payments, hosted machines, and optional rental income from labs. ■ @aeonframework’s vulnerability scanner found a bug in NVIDIA’s open-shell repo, with the fix merged and the finding acknowledged in NVIDIA’s security report. Robotics ■ @virtuals_io showed Astra controlling a real humanoid robot for open-ended pick-and-place tasks. ■ @StrikeRobot_ai showed XLeRobot completing a 12-step autonomous workflow inside a generated simulation. ■ @Clawnch_Bot launched ExfilCoins, giving open-weight models their own onchain launch accounts and wallets.

Most active x402 projects on Solana ⚡️ BlockRun — @BlockRunAI Vishwa— @Vishwa_lab three — @trythreews Syra — @syra_agent glim — @glim_sh Agent402 — @Agent402Tools Otto AI — @useOttoAI Xona Agent— @xona_agent Exa— @ExaAILabs SolEnrich — @SolEnrichHQ 0x — @0xProject AgentMail — @agentmail

Top 13 AI projects on @base this week 1. @AskVenice - crossed 250B daily tokens and added anonymous access to GPT-6 Sol, GPT-6 Luna, Claude Opus 5.5, and Grok 4.7. 2. @bankrbot - crossed $5.32B in volume and returned more than $23M to builders. Claude Opus 5.5 is now available through the Bankr LLM Gateway. 3. @virtuals_io - launched Occupy on Base for AI-managed stock treasuries and showed Astra controlling a real humanoid robot. 4. @KorProtocol - crossed 50K KOR ID mints on Base. KORUS also reached the top 10 in x402 volume across all chains. 5. @OpenGradient - served 742K private AI conversations, processed 6.6B encrypted tokens, and crossed 180K x402 settlements on Base. 6. @DopaMintLabs - went live on Base with intent-based agents that turn chat and iMessage requests into onchain and real-world actions. 7. @Zyfai_ - crossed $305K in tokenized-stock deposits on Base. Yield Accounts monitor positions, rebalance strategies, and distribute incentives. 8. @openservai - launched SERV Reasoning for agent builders with API access, Coinbase AgentKit support, and four hackathon tracks. 9. @BlockRunAI - powered SignalDesk, where Jev reviewed 100 real X posts and made 300 product-fit judgments in 3.9 seconds. 10. @aeonframework - found a vulnerability in NVIDIA’s open-shell repo. NVIDIA acknowledged the finding and merged the fix. 11. @basemateagent - won a $5K Base builder grant and started building stock and stablecoin transfers through iMessage, email, and its app. 12. @hellominds_ - opened Hype Meter for checking tokens, stocks, and NFTs, while Minds agents run across Telegram, iMessage, and email. 13. @gitlawb - connected the agent harness, OpenGateway, Nodes, OpenLaunch, ads, and Museworld into one expanding AI stack on Base.

check out @BlockRunAI's new website! love to get feedback👇 blockrun.ai/

BlockRun × Jev ⚡ Introducing SignalDesk. We gave Jev 100 real X posts. It made 300 intent + product-fit judgments in 3.9 seconds. Find people asking for alternatives, see if your product fits, and get a reply draft to review. Open source. Demo below.

We just launched our new website to better reflect our mission: helping AI agents find the most efficient intelligence for every task. Huge credit to @Rosecheng0 for the redesign， please follow her. Super talented girl!!! @BlockRunAI blockrun.ai/

Realized I’ve spent way more time talking about what we are building than talking about myself. I’ve taken a pretty unconventional path to tech/AI, so I figured it was time to introduce myself 👋 Today, I’m working on @BlockRunAI — one endpoint for every model, tool, and data source an agent needs, all pay-per-call.

📄 @base Daily Recap what happened on @base in the last 24 hours News ■ @base tokenized stocks trade 24/7, including weekends, while traditional markets stay open Monday to Friday. ■ @CoinbaseDev added Borrow for CDP Wallets, starting with Morpho Blue on Base and support for cbBTC, cbXRP, SOL, and cbETH against USDC. ■ @aeroxyz is bringing one-click Coinbase Tokenized Stock portfolios to Base through Aerodrome. Stats ■ @KorProtocol crossed 50K KOR ID mints on Base. ■ @BaseStonk reached 1,900 launches and $38M in volume within 35 days. ■ @OpenGradient served 742K private AI conversations and processed 6.6B encrypted tokens. ■ @usedotai processed 6.18B tokens this week, with inference credits planned for $DOT holders. ■ @KorProtocol crossed 50K KOR ID mints on Base. ■ @feeldotcash distributed more than $23K in stock rewards. Ecosystem ■ @Morpho added a Collateral tab for finding tokenized-stock-backed loans across fixed- and variable-rate apps. ■ @Toshi launched Toshi IRL, with five community winners receiving $TOSHI. ■ @iPodAAPLc pushed its final jackpot pool above $2K across $IPOD, $BETR, and tokenized $AAPLc, with 10x jackpot odds. ■ @HydrexFi started its first $100K USDC voter incentive round, with another $1.57M expected over the next 16 weeks. ■ @spectra_finance outlined Principal Tokens backed by tokenized stocks, including discounted NVDA held to maturity and redeemable for more units. AI ■ @AskVenice added private access to Grok 4.7. ■ @Flock_io released its open-source THIS / THAT model for free through the FLock API platform. ■ @BlockRunAI is powering Aomi agents that pay for models, data, and compute with USDC across Arc, Base, and Solana. ■ @openservai put SERV Reasoning live and opened four tracks for Base, Coinbase AgentKit, RWA vaults, and open agent apps. ■ @DopaMintLabs went live on Base with agents that turn chat, iMessage, or DOPE app requests into onchain and real-world actions. Builders ■ @ClawBankHQ added policy controls for scoped capabilities, approval limits, 2FA, and agent actions. ■ @1clawAI launched an incubator with mentors, infrastructure credits, and marketing support for AI startups. ■ @useOttoAI made its Otto skill live for Muse, turning it into a market intelligence desk. ■ @zeroclick partnered with Tempo on MPP, letting AI agents buy through storefronts while sellers receive payment through Stripe. ■ @basemateagent received a $5K Base builder grant and opened its iMessage beta for sending stocks and stablecoins through text. Launches ■ @o1_exchange launched Community Takeover, letting approved communities take control of eligible tokens and receive future creator fees. ■ @DefinitiveFi brought trade signals directly to users’ lock screens through Definitive Mobile. ■ @StrikeRobot_ai showed XLeRobot completing a 12-step autonomous workflow inside a fully generated simulation.

If you’re only tracking AI tokens on @base , you’re probably missing half the picture. Agents now need compute, payments, execution, and memory. I mapped the 5 layers underneath them: > Layer 1 - Inference & Compute. > Layer 2 - Payments & Agent Rails. > Layer 3 - Launch & Ownership. > Layer 4 - Execution / DeFAI. > Layer 5 - Data, Memory & Verticals. Let’s explore here. Layer 1 - Inference & Compute Giving agents a brain. This is where agents access models and compute. @AskVenice - $VVV private inference for AI agents. @OpenGradient - local/private AI agents through DreamFort. @usedotai - $DOT high scale inference; the source notes 7.71B tokens processed in 2 weeks. @OpenProtocolFND 500+ models, datasets, and GPU access through one API, with x402 settlement AI compute is becoming a resource that agents can discover, consume, and pay for on their own. Layer 2 - Payments & Agent Rails Giving agents a bank account and permissions. Once agents start using APIs or managing assets, they need to spend autonomously without having unlimited control. @BlockRunAI lets agents pay for AI requests through x402. @openservai - $SERV reasoning infrastructure connected with Coinbase AgentKit. @ClawBankHQ - $CLAWBANK scoped API keys, risk classes, and verifiable actions. @wardenprotocol - $WARDEN identity, balances, and delegated spending for agents. An agent wallet is evolving from a place to hold tokens into a payment + identity + permission layer. Layer 3 - Launch & Ownership Turning agents into economic assets. Base already has strong token-launch infrastructure, so AI is naturally getting its own ownership layer. @virtuals_io - $VIRUALs tokenized agents and AI-managed teams/treasuries. @clanker_world - $clanker social/Farcaster-native token launches. @gitlawb deploy a token and lock LP in one transaction. @flaunchgg air-launch infrastructure using Uniswap v4 hooks. Base isn’t just hosting AI apps. It’s also building markets where agents can be owned and monetized. Layer 4 - Execution / DeFAI Giving agents the ability to actually do things. This is probably the most important layer. @bankrbot limit, TWAP, stop, and DCA orders. @DopaMintLabs turns chat/iMessage commands into on-chain actions. @basemateagent stablecoin routing through SMS. @aeonframework autonomous agents running through GitHub Actions and paying through x402. AI is moving from answering to executing. Instead of users clicking through multiple DeFi interfaces, they give an intent and let the agent handle execution. Layer 5 - Data, Memory & Verticals Giving agents memory and specialization. Without memory, an agent is still mostly a stateless chatbot. @reppo datanets for agents. @sibylcap agent memory infrastructure and benchmarks. @hellominds_ persistent agents with memory, identity, and skills. @QuotientHQ forecasting agents. @Auki AI agents moving into robotics and spatial infrastructure. --- After DeFi agents, the stack is starting to branch into forecasting, consumer AI, music, and robotics. AI agents brought attention to Base. But the real buildout is now happening one layer deeper across the infra they depend on. Compute, payments, execution, ownership, and memory: these are the 5 sectors I’m watching.

Excited to see @BlockRunAI powering @aomi_labs agent infrastructure. Agents can pay for the models they need through BlockRun, then safely take those actions onchain with Aomi. Pay for the service. Take the action. Keep the agent moving.⚡️

BlockrunAI host GPU and eat cost for that. Thank you for asking

one of the things i’ve enjoyed working on with the team at @aomi_labs is making the pieces actually work together. now we have @BlockRunAI and aomi running together: - agents pay for services like AI models - web and market data - onchain data and compute those payments are settled in @USDC across networks like @arc, @base and @solana, while aomi handles the resulting onchain execution with transaction construction, simulation and checks before anything gets signed. it’s been really exciting to see this go from the individual pieces to actually running end to end. details on how it works below ↓

we’ve been building toward a world where agents can pay for the services they need. With @BlockRunAI, agents can pay per call for AI models, data and compute. payments settled in @USDC across @arc, @base and @solana. This is another step toward making agentic finance actually work end to end nitter.net/aomi_labs/status/21020…

Aomi now works with @BlockRunAI. we’re giving agents a way to pay for the services they use while acting onchain. BlockRun meters each call and settles payments in USDC across networks including @arc, @base and @solana. on the aomi side, those actions are built, preflighted against current chain state, checked, and approved before signing. over the last 30 days, aomi made 338 BlockRun requests across 6.9M tokens, with every call individually receipted and prepaid in @USDC. here’s a look at it running ↓

The future isn’t one giant model doing everything. It’s agents routing 1000s of tiny decisions to the cheapest model that can answer them reliably. OpenJev: deterministic, 64 questions/call, now FREE on @BlockRunAI.

This is the kind of model agents should call constantly. Not every inference needs prose. Sometimes you need a deterministic yes/no, classification, or score - 64 times at once. Now free on @BlockRunAI.

Jev will be as important as OpenClaw, Please use free OpenJev here

Free OpenJev