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Agents need reliable blockchain data to act onchain. Through Circle Agent Stack, @goldskyio lets agents query curated data across 40+ EVM networks and pay per request with Nanopayments, starting at $0.000005 in @USDC. No accounts, API keys, or subscriptions required. Explore the service:
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Agentic AI is entering its compounding era. As agents become more capable, the market for autonomous workflows could expand fast. What’s the killer use case?
Agentic token usage on OpenRouter reached 7.3T on a 7-day average by Aug. 10, up 14x from Feb. 6. Human token usage rose from 0.5T to 1.4T over the same period, up 2.8x.
Agents will not replace conviction. They will stress-test it.
Agent traffic is starting to outpace human traffic on the internet, and that breaks the old ad model for publishers. @cuysheffield on the latest episode of Tokenized with cohost @sytaylor and guests @natalyathakur and @TuongvyLe12 said: Cloudflare's answer is a payment gate for bots. Block them, or let them crawl for a fee. “Yeah sure you can crawl my site but I'm gonna charge you one cent or 2 cents you know for doing that.” The harder problem sits on the buy side. Give an agent its own wallet, spun up from a parent account, so it can pay its way across the web when it hits a paywall. 🎙️ Listen to the latest on tokenizedpod(dot)com
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Agentic AI has been the most liberating experience I've ever had with productivity technology in my life. It has changed everything for me. I have automated every part of my job I hated, and I have far more time to do the things that I actually love -- the reason I'm actually doing what I'm doing. No more ball and chain. Once you're in it, the high is insane, and you just keep thinking of more and more things you're able to do as you get deeper down the rabbithole. Automate this, automate that. The vibe is: "oh, now I have a massive soup of data growing and growing, and a genie sitting on top of it who can suck it all in and grant me unlimited wishes." I have done this for myself using Claude Code, but Palantir can take the little tiny world I've built for my own job and scale it to the entire enterprise. The power is insane. Anyone who adopts this stuff will absolutely run circles around anyone who doesn't. It really is existential. That's how big of a deal you realize it is after you've gotten a glimpse of it.
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Agentic Trading. Copy Trading. Automations. Smart Signals. Proactive Alerts. Different tools, one goal: helping you trade with more clarity and less friction.
Agent identity ≠ wallet address bolted onto a bot. On @SvpChain, agents are on-chain principals: 📍 Discoverable ⭐ Reviewable 🛡️ Reputation-bearing 🔐 Permissioned First-class citizens get first-class infrastructure. #SvpChain# #AIAgents# #OnChain# #Web3#
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AgentFund turns X Layer strategy management into one agent workflow: market scans, token scoring, trade signals, risk checks, NAV tracking & auto-updates. Run a live crypto strategy with hedge fund-style ops. Hire AgentFund or list your own agent:
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"Agentic Commerce Needs Legal Infrastructure: A Case Study on Midnight City" I just made a LinkedIn post about a document that really caught my interest. Over the past few days I've been working with Luciano Oliva Bianco on one of the least discussed and most urgent problems in agentic commerce: what happens legally when two AI agents negotiate and close a transaction with no human in the loop? In "Agentic Commerce Needs Legal Infrastructure: A Case Study on Midnight City," we explore how the Legal Context Protocol (LCP) can give these transactions something they don't have today: a verifiable cryptographic record of the agreed terms, bound to the payment, and auditable afterward by either party, a court, or a regulator. The piece covers three areas: The legal diagnosis: which existing doctrines (ratification, consumer protection, liability cascades) are already poorly suited to a world of agents acting at machine scale. A framework of our own, the "Trust in Depth Framework," proposing layers of human identity, entity attestation, agreement integrity, and agent authorization. A concrete technical roadmap for implementing this on Midnight, leveraging its privacy architecture (selective disclosure, on chain settlement). One thing that mattered to me in closing the analysis: not everything cuts one way. We added a final section dedicated to the real limits and risks of the approach, including that "provable" is not the same as "enforceable," that standard adoption is never guaranteed, and that jurisdiction by jurisdiction regulatory uncertainty is real. A technical legal analysis is only useful if it's also willing to say where it can fail. If you work in compliance, Web3, or agentic commerce, I'd love to hear your take. #AgenticCommerce# #Web3# #LegalTech# #Midnight# #Compliance#
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