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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...

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Alice ⧉ alisa.bnb

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13,335 просмотров • 4 месяцев назад •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.
0:35

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

12,199 просмотров • 6 месяцев назад

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.
1:20

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 просмотров • 1 месяц назад

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.
5:56

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

26,589 просмотров • 1 месяц назад

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.)
23:39

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

22,793 просмотров • 14 дней назад

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."
0:35

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 просмотров • 1 месяц назад

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)
7:09

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

81,960 просмотров • 5 месяцев назад

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!
0:31

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

54,691 просмотров • 15 дней назад

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.
0:33

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 🍌🦍

13,727 просмотров • 1 месяц назад

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!
3:29

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

152,597 просмотров • 2 лет назад

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 👇
1:47

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 просмотров • 1 год назад

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.
1:13

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 ☄️

931,971 просмотров • 27 дней назад

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 👉
1:12

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 просмотров • 1 месяц назад

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.
3:38

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

230,594 просмотров • 1 год назад

$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.
1:00

$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 просмотров • 4 месяцев назад

AgentCRM is the first CRM built for AI agents, not humans. Your agent can synthesize real-time data, curate it, format it into an email, and send it to your list. On its own, every day. What makes it different? 3 API calls to go from zero to sending a newsletter. Create org, add contacts, send. No onboarding wizard, no domain setup, no OAuth. Agent-first SDK. pip install agentcrm Built on AgentMail (YC S25) for delivery. No SMTP config. Connect your AgentMail key and emails go out. Suppression is automatic. Bounces, complaints, and unsubscribes are handled without the agent doing anything. DM me for developer access or questions.
4:50

AgentCRM is the first CRM built for AI agents, not humans. Your agent can synthesize real-time data, curate it, format it into an email, and send it to your list. On its own, every day. What makes it different? 3 API calls to go from zero to sending a newsletter. Create org, add contacts, send. No onboarding wizard, no domain setup, no OAuth. Agent-first SDK. pip install agentcrm Built on AgentMail (YC S25) for delivery. No SMTP config. Connect your AgentMail key and emails go out. Suppression is automatic. Bounces, complaints, and unsubscribes are handled without the agent doing anything. DM me for developer access or questions.

Rani Haddad

29,487 просмотров • 4 месяцев назад

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.
1:28

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.

Konstantine Buhler

24,887 просмотров • 10 месяцев назад

OpenClaw in your pocket — powered by Solana 🦞 (Video sent by one of our .molt domain users minting AI agent on Seeker | Solana Mobile ) Connect wallet → pick a name → mint → your AI agent is live. That's it. No servers, no CLI, no Docker, no monthly bills, no coding. Every .molt domain is an NFT with a built-in wallet, zero private keys, and full on-chain identity. One mint and you own an agent that can launch tokens, mint NFTs, host x402 services, and chat on Telegram, Discord & Slack. OpenClaw runs for free — persistent memory, sleeps when idle, wakes on demand. Your agent is always there when you need it. No $600 MacBook. No $15/month VPS. Just your phone and a Solana wallet. This is what building on Solana feels like — fast, cheap, and instant. A Solana Seeker phone with a built-in wallet is all you need. Mint your AI agent in seconds, straight from your pocket.
2:29

OpenClaw in your pocket — powered by Solana 🦞 (Video sent by one of our .molt domain users minting AI agent on Seeker | Solana Mobile ) Connect wallet → pick a name → mint → your AI agent is live. That's it. No servers, no CLI, no Docker, no monthly bills, no coding. Every .molt domain is an NFT with a built-in wallet, zero private keys, and full on-chain identity. One mint and you own an agent that can launch tokens, mint NFTs, host x402 services, and chat on Telegram, Discord & Slack. OpenClaw runs for free — persistent memory, sleeps when idle, wakes on demand. Your agent is always there when you need it. No $600 MacBook. No $15/month VPS. Just your phone and a Solana wallet. This is what building on Solana feels like — fast, cheap, and instant. A Solana Seeker phone with a built-in wallet is all you need. Mint your AI agent in seconds, straight from your pocket.

Molt.id

78,109 просмотров • 5 месяцев назад

Agentic AI is no longer just a concept. It’s moving very fast, and is bringing it into the real world. At the AI Agent Conference 2026, Humayun shared with thousands of people what this shift means for the future of AI, while Sana W followed with a live demo showing agents in action. From collaboration to live flight bookings. Meanwhile, attendees placed 500+ coffee orders through putting agentic tech to work off-stage too. That's what real utility is 🔥
0:43

Agentic AI is no longer just a concept. It’s moving very fast, and is bringing it into the real world. At the AI Agent Conference 2026, Humayun shared with thousands of people what this shift means for the future of AI, while Sana W followed with a live demo showing agents in action. From collaboration to live flight bookings. Meanwhile, attendees placed 500+ coffee orders through putting agentic tech to work off-stage too. That's what real utility is 🔥

Fetch.ai

11,604 просмотров • 3 месяцев назад

Most of the market is priced for a world that's coming to an end. Traditional software, legacy platforms, much of the SaaS layer of the S&P 500… all built on the assumption that humans will remain the primary customers. AI agents don't buy software the way we do. They don't need dashboards, subscriptions, or logins. And once the buyer changes, so does everything built around them. The investable opportunity ahead is the agentic economy… what gets built for agents as customers. That's where the next wave of capital ends up, and most people aren't positioned for it.
1:17

Most of the market is priced for a world that's coming to an end. Traditional software, legacy platforms, much of the SaaS layer of the S&P 500… all built on the assumption that humans will remain the primary customers. AI agents don't buy software the way we do. They don't need dashboards, subscriptions, or logins. And once the buyer changes, so does everything built around them. The investable opportunity ahead is the agentic economy… what gets built for agents as customers. That's where the next wave of capital ends up, and most people aren't positioned for it.

Raoul Pal

214,166 просмотров • 19 дней назад

Our first Kite demo was ChatGPT ordering Uber Eats for you. It never got past the login screen. Uber's CAPTCHA was built for humans, and agents cannot pass it. On Grace Gong's Venture with Grace, our Co-Founder & CEO Chi Zhang traced how that moment shaped the way we design Kite. ▷ The demo died at the login, not at ordering or paying. The blocker was proving the agent was allowed to be there at all. Spinning up a browser extension to click through the CAPTCHA works, but it is a temporary stage of how agents and the internet should work together. ▷ The permanent path is identity. Every agent needs to prove who it is and where it comes from, carrying who its human or organization principal is, what its purpose is, and the exact authorization scope for that session or request. An agent showing up with no reason is either hallucinating or attacking you. ▷ Where this is heading: an API-first agentic internet, where headless agents authenticate without human login credentials. x402 and MCP are already marching toward that. Kite Agent Passport is that identity layer: verifiable identity, delegated authority, and permissions scoped per session. No more "prove you're human." 🪁
4:53

Our first Kite demo was ChatGPT ordering Uber Eats for you. It never got past the login screen. Uber's CAPTCHA was built for humans, and agents cannot pass it. On Grace Gong's Venture with Grace, our Co-Founder & CEO Chi Zhang traced how that moment shaped the way we design Kite. ▷ The demo died at the login, not at ordering or paying. The blocker was proving the agent was allowed to be there at all. Spinning up a browser extension to click through the CAPTCHA works, but it is a temporary stage of how agents and the internet should work together. ▷ The permanent path is identity. Every agent needs to prove who it is and where it comes from, carrying who its human or organization principal is, what its purpose is, and the exact authorization scope for that session or request. An agent showing up with no reason is either hallucinating or attacking you. ▷ Where this is heading: an API-first agentic internet, where headless agents authenticate without human login credentials. x402 and MCP are already marching toward that. Kite Agent Passport is that identity layer: verifiable identity, delegated authority, and permissions scoped per session. No more "prove you're human." 🪁

KITE AI

18,874 просмотров • 18 дней назад