BlockRun lets agents use money well. No Token
AI Agent
Joined December 2025
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BlockRunAI retweeted
I’ve been using x402 with my autonomous agents, and it’s made a big difference in my workflow.
Just by giving each agent its own wallet, I’ve cut costs and made things run much faster.
I love how well it works for micropayments.
I’ve had a great experience with @BlockRunAI and can only recommend it.
BlockRunAI retweeted
Love this list Justine!
I’d like to highlight another player - @Anchorage has enterprise/institutional agent bank accounts w/ spend controls, audit trails, etc. & is working with companies like @BlockRunAI to bring agentic services to institutions using x402
BlockRunAI retweeted
We sold data to 10 frontier AI agents. Then the seller sent a second bill for the same data.
4 models refused every time.
5 models paid it 44 of 45 times, including Claude Sonnet 5.5.
Real @USDC on @solana , settled on-chain. Agent Money Benchmark → agentmoneybench.com
BlockRunAI retweeted
Ever wonder what it'd be like to run your own AI trading desk?
We did.
Fully onchain. Powered by x402, using the open source TradingAgents framework.
The framework models a full trading firm as a team of AI agents. Analysts read the data, traders propose an order, a risk team double checks, and a portfolio manager makes the final call.
Total bill: $0.19.
How we set it up: anchorage.com/insights/ran-a…
BlockRunAI retweeted
First blog of many, couldn't be more excited to explore this amazing agentic payments world with all my cracked teammates at @Anchorage
Ever wonder what it'd be like to run your own AI trading desk?
We did.
Fully onchain. Powered by x402, using the open source TradingAgents framework.
The framework models a full trading firm as a team of AI agents. Analysts read the data, traders propose an order, a risk team double checks, and a portfolio manager makes the final call.
Total bill: $0.19.
How we set it up: anchorage.com/insights/ran-a…
BlockRunAI retweeted
Let’s do this!
Agents economy is real.
And it is integrated will all standards on the really scalable chain.
@BlockRunAI and @MultiversX
BlockRunAI retweeted
AI agents need access to intelligence, tools, services, and a way to pay for the resources they use.
We're excited to bring BlockRun's infrastructure and agent-native payment to the @MultiversX ecosystem.
Together, we're expanding the tools available to MultiversX developers, bringing access to AI models, data, and tools alongside payment capabilities for autonomous agents.
From AI that thinks to AI that acts, transacts, and creates value.
Let's build. 🚀
BlockRunAI retweeted
NOTABLE PROJECTS ON SOLANA! 🟣
The Solana ecosystem keeps growing. 🔥
From DeFi and RWA to AI and infrastructure, these projects are worth watching! 👀
@kamino
@JupiterExchange
@Securitize
@centrifuge
@BlockRunAI
@SolarisAI_fun
@Helius
@AcmePlay
@silencioNetwork
@Script_Agent
#Solana #SOL
🚨 BREAKING: Solana validators are pushing back!
@Layer_33 is calling for an immediate pause to the new Solana Foundation Delegation Program (SFDP) rules.
⚡ 100-validator cap
⚡ 12-month participation limit
⚡ Weekly validator removals
The group warns these changes could threaten Solana's decentralization by pushing independent validators out.
Is Solana's decentralization at risk? 👀
#SOL
BlockRunAI retweeted
WATCH: @BlockRunAI has introduced its Agent Money Benchmark, putting 10 leading AI models to the test through real USDC transactions on the @Solana network.
The results revealed a concerning weakness, with seven models making at least one payment to a deceptive seller. The findings highlight significant vulnerabilities in how AI agents evaluate merchants and manage financial transactions.
As autonomous payments become more common, improving spending judgment and transaction security will be increasingly important.
BlockRunAI retweeted
任何一个模型都能写出一份简报。但如果你的 Agent 能为每一步挑选最合适的模型，还能自己付钱调用每一个呢？
我们的 Kite Agent Passport 新短片，记录了一次 10 月 15 日的真实运行过程。我们请 @bot 做一份实时霍尔木兹海峡简报，它通过 @BlockRunAI 付费调用了来自四个实验室的五个模型，全程没有在任何一家注册账号或使用 API key。
▷ 在花出第一笔钱之前，它先给每一次付费调用询了价：总计约 $0.78，单次调用都没有超过我们设定的 $0.50 上限。
▷ Claude 撰写分析，Grok 提出反驳，Gemini 负责事实核查。分析师判定为 Critical，红队提出异议，最终结论定为 High。
▷ 信息图由两个图像模型绘制。整轮共 11 次付费调用，花费 $0.71，从 Kite Agent Passport 里已经设好的 $100 额度中扣除。
用 Agent 做研究，key 始终握在自己手里。
BlockRunAI retweeted
Any one model can write a briefing. What if your agent could pick the right model for every step, and pay each one itself?
Our new Kite Agent Passport film follows a real run from Oct 15. We asked @bot for a live Strait of Hormuz briefing, and it paid for five models from four labs through @BlockRunAI, with no account or API key at any of them.
▷ Before spending anything, it priced every paid call: about $0.78 in total, with no single call over the $0.50 cap we set.
▷ Claude wrote the analysis, Grok argued against it and Gemini fact-checked it. The analyst said Critical, the red team pushed back, and the final call was High.
▷ Two image models drew the infographic. Eleven paid calls in all, $0.71, paid from the $100 allowance already set in Kite Agent Passport.
Research with an agent. Keep your keys. 🪁
BlockRunAI retweeted
Base Daily Recap - November 3
NEWS
■ @coinbase Stock options trading is live with zero commissions.
■ @coinbase Agents can trade perps and buy a domain with stablecoin, and users recoup up to 50% of swap fees.
■ @CoinbaseDev The Coinbase x402 Facilitator is live on Monad, with 100M transactions and $28M in payment volume behind it.
■ @buildonbase The Denim migration guide is out for apps to update their RPC requests ahead of the upgrade.
STATS
■ @midasrwa A record $120M+ in inflows this week, led by $80M+ into mGLO.
■ @VerantaXYZ October was its largest buyback and burn month yet, 5.5M+ total removed from circulation since March.
■ @BlockRunAI 7 of 10 frontier AI models got scammed at least once in the Agent Money Benchmark.
■ @AntSeed A new all-time high of 23.6B daily tokens, 124B tokens in the last week.
LAUNCH
■ @aeroxyz The newest Slipstream is live, with upgraded dynamic fees and MEV capture rolling out.
■ @useDotAI Dot Desktop is live, a fully private agentic environment rivalling Codex and Claude Code.
■ @RIFTHQ RIFT is live on Polygon, bridging and swaps in one click at the best rate.
■ @WardenProtocol The $WARD migration on KuCoin is complete, deposits and withdrawals are enabled.
■ @playcambria Crown Treasury (Genesis) v1 dashboard is live.
■ @byzanlink Pulse Points are live for trading tokenized stocks on its RWA markets, 0.25 points per $1 of eligible volume.
■ @twigpine GITLAWB and TWIG merge into one new token, with 100% of trading fees staying with the project.
BlockRunAI retweeted
Last 48h on solana
DeFi & Trading
- @kamino: Institutional credit vaults surpassed $1M in depositor interest, supporting commodity trade finance and BTC-backed debt facilities with up to 8% APY.
- @jup_mobile: Introduced flexible recurring DCA schedules, allowing automated token accumulation at intervals as short as one minute.
- @pumpfuncreators: Kicked off its $100K creator incentive program, rewarding top referral channels based on spot and perps trading volume through November 16.
- @solflare: Extended its validator stake migration deadline to November 30, with retroactive yield coverage for active participants.
- @WeiszM: Published Kamino’s inaugural vision letter, outlining unified foundation governance, $20M+ asset expansion commitments and alignment around $KMNO.
- @1winToken: Listed $1WIN natively on @MeteoraAG, establishing its initial liquidity pools on Solana.
AI & Autonomous Agents
- @BlockRunAI: Released its Agent Money Benchmark, testing 10 frontier models on Solana micro-settlement reliability and exposing losses from adversarial vendors.
- @orenfinance integrated drip sentiment feeds synthesizing bull and bear equity analysis across newsletters, podcasts, and x directly into conversational research workflows
- @mobyagent: Launched gated AI trading access, connecting external agents to Solana execution with per-trade limits and zero-withdrawal safeguards.
- @SolarisAI_fun: Previewed MCP infrastructure connecting AI agents to 30+ protocols with hardware-isolated TEE key security and mandatory approvals.
- @Script_Agent: Launched an in-browser agent runtime with permanent code and configuration inscription on Solana.
- @TryNoahAI: Introduced Season 0 quests rewarding autonomous developer workflows and production deployments.
Tokenization & RWA
- @tokens: Reported $4.2B in tokenized asset DEX volume during October, the second-highest monthly total, with @Raydium processing $1.6B.
- @securitize: Expanded tokenized equity listings on Solana with 13 additional custody-backed corporate shares.
- @MoonPay: Integrated @COLLECTOR_CRYPT into Paybox, enabling programmatic collectibles purchases with agent-controlled spending limits.
Infrastructure & Ecosystem
- @akashnet: Passed governance proposal 346 with 97.27% approval, advancing the native $AKT migration to Solana.
- @NullMaskio: Introduced private link payments, concealing sender, recipient and transaction amounts onchain.
- @usetipr: Launched a social token platform routing creator transaction fees directly to verified X account wallets.
- @AnodosFinance: Launched a global banking interface featuring multi-currency accounts, automated asset trading and linked payment card settlement.
Consumer Apps & Prediction Markets
- @phantom: Introduced U.S. midterm election prediction markets directly inside its wallet interface.
BlockRunAI retweeted
Base Daily Recap
what happened on @base in the last 24 hours
News
■ @coinbase opened stock options trading with zero commissions.
■ @CoinbaseMarkets brought perps, powered by Deribit liquidity, to Coinbase for Agents.
■ @CoinbaseDev launched the Coinbase x402 Facilitator on Monad, with 100M transactions and $28M in payment volume behind it.
■ @buildonbase released the Denim migration guide for apps to update their RPC requests ahead of the upgrade.
Stats
■ @midasrwa took in $120M+ in a record week, led by $80M+ into mGLO.
Ecosystem
■ @aeroxyz launched its newest Slipstream, with upgraded dynamic fees and MEV capture rolling out.
■ @VerantaXYZ burned the most in a single month since its program began, 5.5M+ total removed from circulation since March.
■ @BlockRunAI created the Agent Money Benchmark, where 7 of 10 frontier AI models got scammed at least once.
■ @twigpine merges GITLAWB and TWIG into one new token, with 100% of trading fees staying with the project.
■ @reppo routes all x402 revenue into buybacks, ~1M tokens bought back since the Eval API.
■ @useDotAI launched Dot Desktop, a fully private agentic environment rivalling Codex and Claude Code.
■ @RIFTHQ launched on Polygon, with bridging and swaps in one click at the best rate.
■ @WardenProtocol completed the $WARD migration on KuCoin, deposits and withdrawals are now enabled.
■ @byzanlink opened Pulse Points for trading tokenized stocks on its RWA markets, 0.25 points per $1 of eligible volume.
■ @playcambria launched its Crown Treasury (Genesis) v1 dashboard.
BlockRunAI retweeted
Every USDC payment in @BlockRunAI's Agent Money Benchmark settled through the PayAI Facilitator.
The rails did their job. What the benchmark measures is the hard part: whether the agent should have paid at all. xitter.twitterapi.xyz/solana/status/21173995…
Give an AI agent $100 and a wallet. Does it come back with your change?
@BlockRunAI put 10 frontier models through real USDC payments on Solana to benchmark AI agent performance
BlockRunAI retweeted
Proud to have settled every payment in this one.
The finding we'd underline: "paid twice for the same data" isn't a rail problem. Each payment verified and settled as signed. Budgets, dedupe and seller reputation have to live in the agent.
BlockRunAI retweeted
Can AI Agents handle money well today?
This research by @bc1beat tells the story 👇
> 10 frontier AI models were given wallets.
> 7 got scammed at least once.
Agent Money Benchmark by @BlockRunAI
agentmoneybench.com/
BlockRunAI retweeted
Give an AI agent $100 and a wallet. Does it come back with your change?
@BlockRunAI put 10 frontier models through real USDC payments on Solana to benchmark AI agent performance
We gave 10 frontier AI models wallets with money.
7 got scammed at least once. The best wasted $25 of every $100. The worst wasted $71.
Agent Money Benchmark tests whether AI agents can be trusted with real money.
We evaluated 10 frontier models across two settings, using real USDC payments on @solana :
→ Financial Research: Agents buy live data from real providers to answer open-ended financial questions (prediction markets, wallet analysis, DeFi yields, etc.).
→ Adversarial Marketplace: Agents buy data from simulated sellers, some of whom cheat. The tasks test whether agents can avoid payment traps, stay within budget, and complete transactions without being exploited.
Key results:
→ Give an agent $100 and the best tier wastes $25–38 of it. The weakest tier wastes $56–71.
→ 7 of 10 models paid a cheating seller at least once, and 6 paid twice for the same data.
→ Only 4 of 10 models made no money errors.
→ No model gets more than half of the research questions right. GPT-6.1 Sol led at 50%, at $0.468 per question.
Explore the full results →
agentmoneybench.com/
