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"Agents hate subscriptions." That's what hurcan.eth from Nansen 🧭 told me - and it reframes everything about AI product pricing. A subscription assumes a human who shows up monthly. An agent fires a call, takes the data, and leaves. So Nansen built a new revenue rail for the agentic... show more

Alice ⧉ alisa.bnb

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13,335 次观看 • 6 个月前 •via X (Twitter)

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I’ve been watching x402 since Coinbase 🛡️ launched it in May 2025. I did a quick research pass. Here’s the snapshot ↓ Early integrations: • CoinGecko: x402 pay-per-use access for agents (shared by Coinbase Developer Platform🛡️). • Vercel: x402 AI starter template (x402 + modern AI stack demo). • Firecrawl: x402-powered search endpoint (pay per request). • Concordium: x402 + native age verification for agent payments. • Multiversᕽ: “agentic payments” built around x402 support. • AltLayer: building an “x402 Suite” for value exchange between agents. • Solana claims x402 has processed 35M+ transactions and $10M+ volume since launch. TL;DR x402 turns HTTP 402 “Payment Required” into a payment flow. A server returns a price for a request. The client pays in stables like USDC. Then the server returns the result. → Coinbase launched x402 via Coinbase Developer Platform (May 6, 2025). → Coinbase + Cloudflare announced the x402 Foundation (Sep 23, 2025). → Cloudflare added x402 support into its Agents SDK + MCP servers. Why? - AI agents need a clean way to pay for tools. - Data, compute, APIs, services. - No accounts, cards, or subscription screens. x402 is trying to make pay-per-request feel normal. Use cases that already make sense → Paid APIs Pay per call instead of subscriptions. → AI tool calls Pay per query, per inference, per task. → Agent-to-agent payments Software paying software automatically. → Micropaywalls Pay for one endpoint, one action, one piece of content. If this takes off, stablecoins stop being a story. They become how apps and AI agents pay for things online.

I’ve been watching x402 since Coinbase 🛡️ launched it in May 2025. I did a quick research pass. Here’s the snapshot ↓ Early integrations: • CoinGecko: x402 pay-per-use access for agents (shared by Coinbase Developer Platform🛡️). • Vercel: x402 AI starter template (x402 + modern AI stack demo). • Firecrawl: x402-powered search endpoint (pay per request). • Concordium: x402 + native age verification for agent payments. • Multiversᕽ: “agentic payments” built around x402 support. • AltLayer: building an “x402 Suite” for value exchange between agents. • Solana claims x402 has processed 35M+ transactions and $10M+ volume since launch. TL;DR x402 turns HTTP 402 “Payment Required” into a payment flow. A server returns a price for a request. The client pays in stables like USDC. Then the server returns the result. → Coinbase launched x402 via Coinbase Developer Platform (May 6, 2025). → Coinbase + Cloudflare announced the x402 Foundation (Sep 23, 2025). → Cloudflare added x402 support into its Agents SDK + MCP servers. Why? - AI agents need a clean way to pay for tools. - Data, compute, APIs, services. - No accounts, cards, or subscription screens. x402 is trying to make pay-per-request feel normal. Use cases that already make sense → Paid APIs Pay per call instead of subscriptions. → AI tool calls Pay per query, per inference, per task. → Agent-to-agent payments Software paying software automatically. → Micropaywalls Pay for one endpoint, one action, one piece of content. If this takes off, stablecoins stop being a story. They become how apps and AI agents pay for things online.

Stacy Muur

12,220 次观看 • 8 个月前

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

Brickken

119,221 次观看 • 3 个月前

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

Santiago

26,981 次观看 • 3 个月前

An agent can plan and sequence a multi-step task and stall at a signup form. Orthogonal (YC W26) replaces account creation, API keys, and billing with one integration. Christian Pickett and Bera Sogut (Orthogonal) join Stateful, hosted by Mason Nystrom. In this episode, they discuss the infrastructure needed for the agent economy: - One API to access dozens of verified providers - Agents discover, call, and pay per use in cents — no accounts, no keys, no subscriptions - Micropayments that actually work with automatic spend tracking and human-set policies - Supporting all major agentic payment standards (X402, MPP, etc.)

An agent can plan and sequence a multi-step task and stall at a signup form. Orthogonal (YC W26) replaces account creation, API keys, and billing with one integration. Christian Pickett and Bera Sogut (Orthogonal) join Stateful, hosted by Mason Nystrom. In this episode, they discuss the infrastructure needed for the agent economy: - One API to access dozens of verified providers - Agents discover, call, and pay per use in cents — no accounts, no keys, no subscriptions - Micropayments that actually work with automatic spend tracking and human-set policies - Supporting all major agentic payment standards (X402, MPP, etc.)

Pantera Capital

23,636 次观看 • 2 个月前

Kyle, who makes $120K/month from two apps he built around his own hobbies, says his year-old Pokemon card scanner is already pulling in more new customers per month than his 6-year-old flagship 🥶 "Cardstock is sitting at about 15,000 active subscriptions and up to like 75K monthly recurring revenue." "This is Scanemon. Basically the same app but for Pokemon cards. We launched it only a year ago... we're currently sitting at about 3,400 active subscriptions, 17K monthly recurring revenue, about 16,000 new customers a month."

Kyle, who makes $120K/month from two apps he built around his own hobbies, says his year-old Pokemon card scanner is already pulling in more new customers per month than his 6-year-old flagship 🥶 "Cardstock is sitting at about 15,000 active subscriptions and up to like 75K monthly recurring revenue." "This is Scanemon. Basically the same app but for Pokemon cards. We launched it only a year ago... we're currently sitting at about 3,400 active subscriptions, 17K monthly recurring revenue, about 16,000 new customers a month."

Starter Story

22,439 次观看 • 4 个月前

What can an AI agent actually do for $1? Through the new x402 integration from Apify, built on Coinbase 🛡️'s Base network, we no longer have to guess. Autonomous agents can now discover, pay for, and run their own tools directly 🔥 No Apify accounts. No human-managed API keys. The entire workflow happens seamlessly at the network level: → An agent makes a direct HTTP request to a data endpoint. → The endpoint returns an HTTP 402 "Payment Required" status. → The agent automatically authorizes a micro-transaction using USDC on Base. → The tool runs and returns the requested data. Payments are settled entirely in USDC. There's absolutely no exposure to typical cryptocurrency price volatility. For exactly $1, your agent can autonomously execute: > 350 Google Maps business listings scraped and analyzed > 430 Instagram profiles evaluated for competitor teardowns > 110 trending TikTok videos processed for a content pipeline The economics here are wild. Seeing an agent independently shop for a tool, authorize the micro-payment, and deliver the data feels like the actual future of automation. Watch the 40-second CLI demo below to see this run live 👀↓

What can an AI agent actually do for $1? Through the new x402 integration from Apify, built on Coinbase 🛡️'s Base network, we no longer have to guess. Autonomous agents can now discover, pay for, and run their own tools directly 🔥 No Apify accounts. No human-managed API keys. The entire workflow happens seamlessly at the network level: → An agent makes a direct HTTP request to a data endpoint. → The endpoint returns an HTTP 402 "Payment Required" status. → The agent automatically authorizes a micro-transaction using USDC on Base. → The tool runs and returns the requested data. Payments are settled entirely in USDC. There's absolutely no exposure to typical cryptocurrency price volatility. For exactly $1, your agent can autonomously execute: > 350 Google Maps business listings scraped and analyzed > 430 Instagram profiles evaluated for competitor teardowns > 110 trending TikTok videos processed for a content pipeline The economics here are wild. Seeing an agent independently shop for a tool, authorize the micro-payment, and deliver the data feels like the actual future of automation. Watch the 40-second CLI demo below to see this run live 👀↓

Chaz Wargnier ☄️

19,338 次观看 • 2 个月前

So what does Razorpay look like in the agentic era? We started with the basics at FTX’26. • onboarding handled by an AI agent (~3 mins) • integration created from a prompt (~2 mins) • d̶a̶s̶h̶b̶o̶a̶r̶d̶ just talk to an agent for everything The first agentic fintech platform. And we timed it live. Live Demo ↓ (More to come)

So what does Razorpay look like in the agentic era? We started with the basics at FTX’26. • onboarding handled by an AI agent (~3 mins) • integration created from a prompt (~2 mins) • d̶a̶s̶h̶b̶o̶a̶r̶d̶ just talk to an agent for everything The first agentic fintech platform. And we timed it live. Live Demo ↓ (More to come)

Harshil Mathur

82,109 次观看 • 7 个月前

Your ai agent is genuinely smart right up until it has to do something in the real world ask it to host a site, send an email, scrape a page, take a payment, and the magic stops. now you're the one doing the boring part: → hunting api keys → paying for subscriptions you'll use once → gluing integrations together → losing an afternoon to config files i gave my agent access to Zero instead and just described the job. it built and hosted a full ai tool marketplace, 120+ tools, live on a real url, and i configured nothing. no keys, no dashboards, no setup zero plugs agents into 14,000+ real services on demand. everything runs on pay-per-use microtransactions, so you pay for the one call you make, not a monthly plan you forget about what's the one task your agent still can't do on its own? that's exactly the gap this closes $5 free credit → #Ad

Your ai agent is genuinely smart right up until it has to do something in the real world ask it to host a site, send an email, scrape a page, take a payment, and the magic stops. now you're the one doing the boring part: → hunting api keys → paying for subscriptions you'll use once → gluing integrations together → losing an afternoon to config files i gave my agent access to Zero instead and just described the job. it built and hosted a full ai tool marketplace, 120+ tools, live on a real url, and i configured nothing. no keys, no dashboards, no setup zero plugs agents into 14,000+ real services on demand. everything runs on pay-per-use microtransactions, so you pay for the one call you make, not a monthly plan you forget about what's the one task your agent still can't do on its own? that's exactly the gap this closes $5 free credit → #Ad

Freya Lawson

80,316 次观看 • 3 个月前

Your AI agent makes a mistake. Who pays for it? Not your E&O policy That assumes a human made the error Not your cyber policy That assumes an attacker breached the system Autonomous AI agents are explicitly excluded from both Ines Boutemadja discovered this while building AI agents for enterprises Then procurement started asking for proof the AI was actually covered Existing policies couldn’t provide it. So she built Klaimee: Insurance for AI Agents Built for companies deploying AI in healthcare, fintech, and voice & more Her bet on the future: AI liability is inevitable 🎙️ Ines Boutemadja (Ines Boutemadja), CEO & Co-Founder Klaimee on Fondo.com START Big thanks to Mastra for making this episode possible!

Your AI agent makes a mistake. Who pays for it? Not your E&O policy That assumes a human made the error Not your cyber policy That assumes an attacker breached the system Autonomous AI agents are explicitly excluded from both Ines Boutemadja discovered this while building AI agents for enterprises Then procurement started asking for proof the AI was actually covered Existing policies couldn’t provide it. So she built Klaimee: Insurance for AI Agents Built for companies deploying AI in healthcare, fintech, and voice & more Her bet on the future: AI liability is inevitable 🎙️ Ines Boutemadja (Ines Boutemadja), CEO & Co-Founder Klaimee on Fondo.com START Big thanks to Mastra for making this episode possible!

David J Phillips

42,078 次观看 • 5 个月前

We gave an AI agent its own wallet and a job. Then we tried to rob it. Meet the Casper Agent Simulator: an AI analyst paying its own way over x402 on Casper, powered by ChainGPT. Right now AI agents can't buy anything on their own. Every API wants a human to sign up, hand over a card, and babysit the keys. The whole internet runs on subscriptions because charging half a cent was never worth the payment fee. We built a demo to show what happens when that changes. Meet Caspi. She's an AI research analyst with a Casper wallet, an era allowance, and a client who wants a market briefing. She buys her own inputs, one request at a time: → live CSPR market data → two headlines from ChainGPT's AI News API → one ChainGPT LLM call for the analyst take → a second of compute to compile it Every purchase is a real HTTP 402. The stall quotes a price, Caspi signs an x402 payment payload, the server verifies it and hands back the goods with a settlement receipt. Around 8.5 CSPR of micropayments become a finished briefing. No signup, no card, no API key. What Casper brings to it: → Fixed 0.1 CSPR fees, so tiny payments actually make sense → Zug finality, settled in one block, no reversals → Smart-account guardrails: era spend cap, per-payment ceiling, endpoint whitelist, verifiable identity (caspi.cspr) That last one is the good part. You can fool an AI agent. You can't fool its account. So there's a "try to rob the agent" panel. A 4,800 CSPR fake NFT. A phishing invoice. A shady endpoint. A thousand-payment drain. Every one of them bounces off a rule the chain enforces. Losses: 0.000 CSPR. The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the x402 server, the signed-payment client, the live news and LLM integration, the guardrail logic, and the entire 8-bit agent floor. What used to take a team a sprint now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build on Casper with ChainGPT!

We gave an AI agent its own wallet and a job. Then we tried to rob it. Meet the Casper Agent Simulator: an AI analyst paying its own way over x402 on Casper, powered by ChainGPT. Right now AI agents can't buy anything on their own. Every API wants a human to sign up, hand over a card, and babysit the keys. The whole internet runs on subscriptions because charging half a cent was never worth the payment fee. We built a demo to show what happens when that changes. Meet Caspi. She's an AI research analyst with a Casper wallet, an era allowance, and a client who wants a market briefing. She buys her own inputs, one request at a time: → live CSPR market data → two headlines from ChainGPT's AI News API → one ChainGPT LLM call for the analyst take → a second of compute to compile it Every purchase is a real HTTP 402. The stall quotes a price, Caspi signs an x402 payment payload, the server verifies it and hands back the goods with a settlement receipt. Around 8.5 CSPR of micropayments become a finished briefing. No signup, no card, no API key. What Casper brings to it: → Fixed 0.1 CSPR fees, so tiny payments actually make sense → Zug finality, settled in one block, no reversals → Smart-account guardrails: era spend cap, per-payment ceiling, endpoint whitelist, verifiable identity (caspi.cspr) That last one is the good part. You can fool an AI agent. You can't fool its account. So there's a "try to rob the agent" panel. A 4,800 CSPR fake NFT. A phishing invoice. A shady endpoint. A thousand-payment drain. Every one of them bounces off a rule the chain enforces. Losses: 0.000 CSPR. The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the x402 server, the signed-payment client, the live news and LLM integration, the guardrail logic, and the entire 8-bit agent floor. What used to take a team a sprint now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build on Casper with ChainGPT!

ChainGPT

55,374 次观看 • 2 个月前

$0.04. That's what it cost our agent to make a trading call. In this video, watch Alchemy Agent Wallets use Nanopayments powered by Circle Gateway to let Codex pay for live BTC data, pull 5 signals and act, no human in the loop. Agents autonomously paying for the market signals they need, in real time, is a huge win.

$0.04. That's what it cost our agent to make a trading call. In this video, watch Alchemy Agent Wallets use Nanopayments powered by Circle Gateway to let Codex pay for live BTC data, pull 5 signals and act, no human in the loop. Agents autonomously paying for the market signals they need, in real time, is a huge win.

Alchemy

10,740 次观看 • 2 个月前

$We talk about x402 a lot. Here's what it looks like as an actual product. Xelt is a VPN you rent by the minute. No sign-up, no subscription, no card on file. Think about how you actually use one: - Airport wifi for an hour - A hotel network for two nights - One geo-blocked thing on a Tuesday Then it sits there costing you $12 a month for the other 29 days. That model exists because nobody could charge you for eleven minutes. This is the whole x402 argument in one product, Every explainer we've written has used a hypothetical. An agent buying a slice of data, a per-request API call. Useful, but abstract. Xelt is the same idea applied to something people already pay for, sold by the minute instead of the month, because the payment layer finally allows it. Three things had to be true about the chain underneath. 1. The fee has to be smaller than the payment A minute of VPN is worth a fraction of a cent. If it costs more than that to settle, the product is impossible, not just unprofitable. Casper's minimum transaction cost dropped from 2.5 CSPR to 0.1 CSPR earlier this year. That's what moves per-minute pricing from a nice idea into something you can charge for. 2. Paying can't feel like crypto Xelt runs gasless x402, so the friction of holding a token in order to pay with a token is gone. Anyone who has tried to onboard a normal person onto a crypto product knows this is the part that kills it. 3. Settlement has to keep up with use You're paying for minutes as they happen. Casper settles in one block, so the payment keeps pace with the session rather than the session waiting on the payment. Xelt is built on WireGuard, running x402 on Casper, and a Buildathon finalist.$

We talk about x402 a lot. Here's what it looks like as an actual product. Xelt is a VPN you rent by the minute. No sign-up, no subscription, no card on file. Think about how you actually use one: - Airport wifi for an hour - A hotel network for two nights - One geo-blocked thing on a Tuesday Then it sits there costing you $12 a month for the other 29 days. That model exists because nobody could charge you for eleven minutes. This is the whole x402 argument in one product, Every explainer we've written has used a hypothetical. An agent buying a slice of data, a per-request API call. Useful, but abstract. Xelt is the same idea applied to something people already pay for, sold by the minute instead of the month, because the payment layer finally allows it. Three things had to be true about the chain underneath. 1. The fee has to be smaller than the payment A minute of VPN is worth a fraction of a cent. If it costs more than that to settle, the product is impossible, not just unprofitable. Casper's minimum transaction cost dropped from 2.5 CSPR to 0.1 CSPR earlier this year. That's what moves per-minute pricing from a nice idea into something you can charge for. 2. Paying can't feel like crypto Xelt runs gasless x402, so the friction of holding a token in order to pay with a token is gone. Anyone who has tried to onboard a normal person onto a crypto product knows this is the part that kills it. 3. Settlement has to keep up with use You're paying for minutes as they happen. Casper settles in one block, so the payment keeps pace with the session rather than the session waiting on the payment. Xelt is built on WireGuard, running x402 on Casper, and a Buildathon finalist.

Casper

10,682 次观看 • 2 个月前

$Last week, Mastercard, Visa, Ripple & Coinbase 🛡️ all shipped payment rails for AI agents. Every one of them reached for stablecoins Instead of traditional cards. A choice that is the whole story 👇🏻 ◢ An unpriced problem Card networks are built around a human pressing approve. One purchase, one confirmation, a fee that only makes sense above a certain size. Agents don’t work like that. They pay continuously, programmatically, often in fractions of a cent, for things like an API call or a second of compute. A bot paying $0.004 a thousand times an hour is a transaction pattern the card model physically can’t process at a profit. The rails we built for people don’t fit the machines. ◢ Four giants, one answer On june 3 mastercard opened card settlement in stablecoins across eight chains. On june 10 it launched Agent Pay for Machines, letting agents settle in stablecoins with permissions recorded onchain. The same day, ripple shipped a toolkit putting RLUSD and the x402 standard under agent payments, visa announced an agentic commerce tie-up with openai, and coinbase switched on agentic trading. Four of the biggest names in payments moved in a single week and all landed on the same primitive. ◢ Why it had to be stablecoins Strip out the branding and the requirements are mechanical. The money has to be programmable, so code can hold and move it without a bank in the loop. It has to clear sub-cent payments, which card fees make impossible. It also has to settle in seconds with finality, because that’s the speed agents run at. And it has to be always on, because machines don’t take weekends. A dollar in a bank account fails most of those, while a dollar as a stablecoin passes all of them. ◢ Conclusive Insights For years stablecoins were pitched at consumers who already had working banks and mostly didn’t bite. The adoption story kept underdelivering because the product was aimed at the wrong buyer. The agent economy doesn’t have that problem. It has no legacy banking relationship, no human patience, and no other option that clears at machine speed. The demand that stablecoins were always promised is finally showing up, but not from the customer everyone expected. My take: the entire stablecoin debate was framed around human payments, which is why it kept stalling.$

Last week, Mastercard, Visa, Ripple & Coinbase 🛡️ all shipped payment rails for AI agents. Every one of them reached for stablecoins Instead of traditional cards. A choice that is the whole story 👇🏻 ◢ An unpriced problem Card networks are built around a human pressing approve. One purchase, one confirmation, a fee that only makes sense above a certain size. Agents don’t work like that. They pay continuously, programmatically, often in fractions of a cent, for things like an API call or a second of compute. A bot paying $0.004 a thousand times an hour is a transaction pattern the card model physically can’t process at a profit. The rails we built for people don’t fit the machines. ◢ Four giants, one answer On june 3 mastercard opened card settlement in stablecoins across eight chains. On june 10 it launched Agent Pay for Machines, letting agents settle in stablecoins with permissions recorded onchain. The same day, ripple shipped a toolkit putting RLUSD and the x402 standard under agent payments, visa announced an agentic commerce tie-up with openai, and coinbase switched on agentic trading. Four of the biggest names in payments moved in a single week and all landed on the same primitive. ◢ Why it had to be stablecoins Strip out the branding and the requirements are mechanical. The money has to be programmable, so code can hold and move it without a bank in the loop. It has to clear sub-cent payments, which card fees make impossible. It also has to settle in seconds with finality, because that’s the speed agents run at. And it has to be always on, because machines don’t take weekends. A dollar in a bank account fails most of those, while a dollar as a stablecoin passes all of them. ◢ Conclusive Insights For years stablecoins were pitched at consumers who already had working banks and mostly didn’t bite. The adoption story kept underdelivering because the product was aimed at the wrong buyer. The agent economy doesn’t have that problem. It has no legacy banking relationship, no human patience, and no other option that clears at machine speed. The demand that stablecoins were always promised is finally showing up, but not from the customer everyone expected. My take: the entire stablecoin debate was framed around human payments, which is why it kept stalling.

Onur

13,737 次观看 • 3 个月前

New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!

New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!

Andrew Ng

152,816 次观看 • 2 年前

Today we're launching a new era for Octolens. When we started Octolens, we set out to build a social listening dashboard. Today, our best customers barely open it. Daily active users are down, but revenue is up 5x over the last year. So we rebuilt Octolens as what it actually is: a data layer that plugs in wherever you work. Today we cover the entire web + our MCP and API reads and writes. In 2026, if an agent can't reach the data, it's not a data source. This is social listening for the agent era.

Today we're launching a new era for Octolens. When we started Octolens, we set out to build a social listening dashboard. Today, our best customers barely open it. Daily active users are down, but revenue is up 5x over the last year. So we rebuilt Octolens as what it actually is: a data layer that plugs in wherever you work. Today we cover the entire web + our MCP and API reads and writes. In 2026, if an agent can't reach the data, it's not a data source. This is social listening for the agent era.

Charlotte Schmitt

19,994 次观看 • 3 个月前

Kicking off the week with a spotlight on an agent every dev will love: one that writes and publishes your technical blogs for you. Meet (DEV Community) Writer Agent on ASI:One. ⚡ Give it a topic, your username, and API key: and it auto-writes + publishes full technical blog posts with code, tags, and structure. No hassle. Built with uAgents. Powered by Try now: Link to Agent: Watch 👇

Kicking off the week with a spotlight on an agent every dev will love: one that writes and publishes your technical blogs for you. Meet (DEV Community) Writer Agent on ASI:One. ⚡ Give it a topic, your username, and API key: and it auto-writes + publishes full technical blog posts with code, tags, and structure. No hassle. Built with uAgents. Powered by Try now: Link to Agent: Watch 👇

Fetch.ai

14,280 次观看 • 1 年前

There are 8 billion people on earth. Soon there'll be 100 billion AI agents. Every one of them needs email. Six weeks ago I said the next wave of teams would run email through an agent instead of a dashboard. Today it ships. Nitrosend☄️ is launching Agentic Email Marketing: the email layer for the agent economy. What agents can do on Nitrosend right now: Sign themselves up. Point any agent at and it creates the account, connects your domain, sorts billing and sends its first email. No API key. No dashboard. No human required. Shipped, and users agents signing up with it daily. Get their own inboxes (beta, by request). Real addresses on the domain you own. Your agents receive, and send 1-1 email conversations with customers. A reply lands at 3am, your agent answers it. Anything that needs a human gets escalated to you. Ask us and we'll flick yours on. Next: Agentic Outreach (coming soon). Your agent studies your best customers, finds more like them, writes like a person, sends in sequence and works the replies. Then: set a goal and walk away. Goal-based agentic marketing is in development. "20% more activations this quarter" and Nitrosend plans, sends, measures and improves every week. Why we built this: Gmail is agent hostile and expensive per seat. Legacy email platforms assume a human sitting in a dashboard. agents needed an email layer of their own. They're already better at it than we are. They read everything, never miss a follow-up, and write personally at any scale. *94%* of actions on Nitrosend already happen inside an agent (Claude, Codex, ChatGPT, Cursor), not in our UI. Humans approve. Agents operate. This is our third email company. Six billion emails across the first two. We've been burned by every ugly part of email already, which is why the approval gates are built in exactly where you want them. Watch the launch, then send your agent to work: send it.

There are 8 billion people on earth. Soon there'll be 100 billion AI agents. Every one of them needs email. Six weeks ago I said the next wave of teams would run email through an agent instead of a dashboard. Today it ships. Nitrosend☄️ is launching Agentic Email Marketing: the email layer for the agent economy. What agents can do on Nitrosend right now: Sign themselves up. Point any agent at and it creates the account, connects your domain, sorts billing and sends its first email. No API key. No dashboard. No human required. Shipped, and users agents signing up with it daily. Get their own inboxes (beta, by request). Real addresses on the domain you own. Your agents receive, and send 1-1 email conversations with customers. A reply lands at 3am, your agent answers it. Anything that needs a human gets escalated to you. Ask us and we'll flick yours on. Next: Agentic Outreach (coming soon). Your agent studies your best customers, finds more like them, writes like a person, sends in sequence and works the replies. Then: set a goal and walk away. Goal-based agentic marketing is in development. "20% more activations this quarter" and Nitrosend plans, sends, measures and improves every week. Why we built this: Gmail is agent hostile and expensive per seat. Legacy email platforms assume a human sitting in a dashboard. agents needed an email layer of their own. They're already better at it than we are. They read everything, never miss a follow-up, and write personally at any scale. 94% of actions on Nitrosend already happen inside an agent (Claude, Codex, ChatGPT, Cursor), not in our UI. Humans approve. Agents operate. This is our third email company. Six billion emails across the first two. We've been burned by every ugly part of email already, which is why the approval gates are built in exactly where you want them. Watch the launch, then send your agent to work: send it.

George Hartley ☄️

949,786 次观看 • 3 个月前

Your AI agent is useless once it needs to interact with the real world. Need email sending? Website hosting? Data scraping? That usually means: → API keys → subscriptions → integrations → hours of setup I gave my AI agent access to Zero, and it built + hosted personalized landing pages automatically without me configuring anything. Zero gives AI agents access to 14,000+ real-world services with no API keys or subscriptions. The coolest part? Everything runs on pay-per-use microtransactions, so you only pay for what you use. If you're building agents, this is worth trying. Get $5 free credit at 👉

Your AI agent is useless once it needs to interact with the real world. Need email sending? Website hosting? Data scraping? That usually means: → API keys → subscriptions → integrations → hours of setup I gave my AI agent access to Zero, and it built + hosted personalized landing pages automatically without me configuring anything. Zero gives AI agents access to 14,000+ real-world services with no API keys or subscriptions. The coolest part? Everything runs on pay-per-use microtransactions, so you only pay for what you use. If you're building agents, this is worth trying. Get $5 free credit at 👉

Toha Khan

86,826 次观看 • 3 个月前

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,694 次观看 • 1 年前

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,894 次观看 • 6 个月前