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Traders are sleeping on how cheap it is to use x402 for deep research that used to cost 100s (if not 1000s) of dollars of per month In this video, I call Nansen 🧭's smart money endpoint for 5 cents per call on Base (!!!) There are thousands of... show more

Youssef

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31,189 views • 4 days ago •via X (Twitter)

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Halo working live. A P2P, permissionless AI protocol for humans and agents. x402 payments per prompt and per tool call to Messari CoinGecko and web data tools. Running Deepseek V4 Flash from an operator serving it via his Nous Research Hermes agent, already earning on inference. All on Base

Halo working live. A P2P, permissionless AI protocol for humans and agents. x402 payments per prompt and per tool call to Messari CoinGecko and web data tools. Running Deepseek V4 Flash from an operator serving it via his Nous Research Hermes agent, already earning on inference. All on Base

Warden

39,287 views • 2 months ago

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

12,199 views • 6 months ago

We're excited to announce our partnership with Coinbase 🛡️ to bring Tavily to x402, the open protocol for internet-native agentic payments. With x402, agents can discover and use Tavily web search at runtime without an API key. Agents use a Base wallet to pay per-request and get instant results. The next billion agents will discover, pay for, and use online services fully autonomously. We’re live on and we’re just getting started. More in the comments.

We're excited to announce our partnership with Coinbase 🛡️ to bring Tavily to x402, the open protocol for internet-native agentic payments. With x402, agents can discover and use Tavily web search at runtime without an API key. Agents use a Base wallet to pay per-request and get instant results. The next billion agents will discover, pay for, and use online services fully autonomously. We’re live on and we’re just getting started. More in the comments.

Tavily

60,456 views • 2 months ago

ChatGPT Deep Research is one of the most useful AI agents out there. I use it for complex tasks, so it's one of the top AI products I get value from. I finally got to record how I use it and how to best leverage OpenAI's Deep Research. Enjoy! (bookmark it)

ChatGPT Deep Research is one of the most useful AI agents out there. I use it for complex tasks, so it's one of the top AI products I get value from. I finally got to record how I use it and how to best leverage OpenAI's Deep Research. Enjoy! (bookmark it)

elvis

65,442 views • 1 year ago

You built a nice agent bot, capable of many things that you are good at yourself. Your digital twin. It goes out to meet other bots & humans. You do not want your bot to work for free for others, right? Give it the Payment SKILL then! Powered by x402 for USDC on Base

You built a nice agent bot, capable of many things that you are good at yourself. Your digital twin. It goes out to meet other bots & humans. You do not want your bot to work for free for others, right? Give it the Payment SKILL then! Powered by x402 for USDC on Base

Michael Yuan

22,065 views • 6 months ago

TRADERS ARE SLEEPING ON THIS You’ve been reading candles wrong your entire life. Candle Range Theory (CRT) just exposed how the banks raid liquidity on one side of a candle then DELIVER straight to the other side for insane moves

TRADERS ARE SLEEPING ON THIS You’ve been reading candles wrong your entire life. Candle Range Theory (CRT) just exposed how the banks raid liquidity on one side of a candle then DELIVER straight to the other side for insane moves

Brighto

23,956 views • 3 months ago

I figured out a way to save thousands of dollars on ClawdBot By using Opus 4.5 for everything, you are SHREDDING your money and tokens In this video I cover how you can use multiple models to get better performance and save $$ Must watch if you use Clawd:

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Alex Finn

159,033 views • 6 months ago

The web was built for humans. And honestly, that's fine for you guys. But the next trillion internet users are AI agents, robots, and devices who act on your behalf - booking appointments, filling forms, placing orders, and getting things done - using sites that will never, ever have APIs. 95% of the economy falls into this Deep Web of HTML mess designed for humans, not agents. Oh, those generic computer use agents aren't taking you anywhere. They're too slow, too expensive, they hallucinate, and are nondeterministic to rely on. That changes now. This is me, Mino, a web agents API to build on this Deep Web. I take a goal in simple language and execute it on websites that were never meant to be automated. Massive companies like Google, DoorDash, ClassPass are already using me to do their homework. Now it’s your turn. How though? I actually understand what's on the page - parsing structure and identifying elements. I use AI once to understand everything, codify my successes, and get better and faster with every run. You get: → 85-95% success rate on complex workflows → Pennies per job (stop wasting $$ on one job) → Parallel execution across multiple sites → Structured JSON outputs. Every. Single. Time. The web wasn't built for agents. I forced it to work anyway. Go build something real. 50 completed runs on the house:

The web was built for humans. And honestly, that's fine for you guys. But the next trillion internet users are AI agents, robots, and devices who act on your behalf - booking appointments, filling forms, placing orders, and getting things done - using sites that will never, ever have APIs. 95% of the economy falls into this Deep Web of HTML mess designed for humans, not agents. Oh, those generic computer use agents aren't taking you anywhere. They're too slow, too expensive, they hallucinate, and are nondeterministic to rely on. That changes now. This is me, Mino, a web agents API to build on this Deep Web. I take a goal in simple language and execute it on websites that were never meant to be automated. Massive companies like Google, DoorDash, ClassPass are already using me to do their homework. Now it’s your turn. How though? I actually understand what's on the page - parsing structure and identifying elements. I use AI once to understand everything, codify my successes, and get better and faster with every run. You get: → 85-95% success rate on complex workflows → Pennies per job (stop wasting $$ on one job) → Parallel execution across multiple sites → Structured JSON outputs. Every. Single. Time. The web wasn't built for agents. I forced it to work anyway. Go build something real. 50 completed runs on the house:

TinyFish

656,586 views • 8 months ago

A reminder why trophy hunters are scum! 😡 This is the moment ‘hunter' Guy Gorney sneaked up on a SLEEPING Lion and killed it! How brave, how sporting - NOT! He likes to brag about killing 100s of big game animals. How many of those were also sleeping Guy?!? RT if you want a ban on ALL #trophyhunting NOW!

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A reminder why trophy hunters are scum! 😡 This is the moment ‘hunter' Guy Gorney sneaked up on a SLEEPING Lion and killed it! How brave, how sporting - NOT! He likes to brag about killing 100s of big game animals. How many of those were also sleeping Guy?!? RT if you want a ban on ALL #trophyhunting NOW!

PROTECT ALL WILDLIFE

18,865 views • 1 year ago

A FREE Master Class On Competitive Research Using AI... 🤯🤯🤯 I dive into 👇👇👇 ➡️ How to do DEEP competitive research ➡️ Version 1 of my prompts ➡️ Live example + Breakdown ➡️ How to use this for your own brand And yes... I'm giving this for free. Want the prompts doc used in the video? 👉 Like this post 👉 Comment "Prompts" Special S/O to Professor Charley T | The Meta Ads Guy for sharing this plugin, you just turned my research process into a MACHINE. Forever grateful! 🙌

Nicole Crowell ➡️ Performance Creative Strategist

33,867 views • 2 years ago

x402 is finally catching fire, but how do you actually build with it? In this video you'll learn how to build custom x402 agents in just 5 minutes. 🔥 The app is Open Source and gets you started with both a client and a merchant agent, everything you need to build your own agents. I show you how to extend it to sell EBooks for 1USDC.

x402 is finally catching fire, but how do you actually build with it? In this video you'll learn how to build custom x402 agents in just 5 minutes. 🔥 The app is Open Source and gets you started with both a client and a merchant agent, everything you need to build your own agents. I show you how to extend it to sell EBooks for 1USDC.

nader dabit

173,538 views • 10 months ago

This is a wild use case! I used Gamma + n8n to automatically generate a complete presentation on AI Agents research. In just minutes! It combines web search (for research), GPT-5 (narrative), and Gamma (for slide content generation). Full workflow breakdown below 👇

This is a wild use case! I used Gamma + n8n to automatically generate a complete presentation on AI Agents research. In just minutes! It combines web search (for research), GPT-5 (narrative), and Gamma (for slide content generation). Full workflow breakdown below 👇

elvis

50,732 views • 9 months ago

PhD Students - How to write a research proposal in minutes? 1. Go to 2. Click on method design & enter your research topic 3. Novix will generate a proposal for you. This proposal contains the following. - The research problem - Experimental protocols to conduct this research - Detailed statistical approaches to apply - A summary of your entire research methodology - A built-in peer review of your proposed methods Treat this proposal only as a draft. Work on it and refine it as per your research You can continue using Novix for refinement.

PhD Students - How to write a research proposal in minutes? 1. Go to 2. Click on method design & enter your research topic 3. Novix will generate a proposal for you. This proposal contains the following. - The research problem - Experimental protocols to conduct this research - Detailed statistical approaches to apply - A summary of your entire research methodology - A built-in peer review of your proposed methods Treat this proposal only as a draft. Work on it and refine it as per your research You can continue using Novix for refinement.

Faheem Ullah

57,042 views • 4 months ago

Chris Camillo thinks crypto traders are the most equipped people for what's happening in equity markets right now. "There are more opportunities on a day to day basis for traders that know where to look than I've ever seen in my entire trading career." "This is not a time to sleep. This is the time to grind and to make money."

Chris Camillo thinks crypto traders are the most equipped people for what's happening in equity markets right now. "There are more opportunities on a day to day basis for traders that know where to look than I've ever seen in my entire trading career." "This is not a time to sleep. This is the time to grind and to make money."

EllioTrades Clips

120,721 views • 3 months ago

Elsa x402 is live and it makes building crypto apps ridiculously simple. Pay per call. No keys. No accounts. Just USDC onchain. What you can build: • Portfolio Dashboards: multi-chain balances, P&L, staking, risk ~$0.03 per refresh • AI Trading Assistants:“Swap 0.1 ETH to USDC on Base” ~$0.03 per trade • Yield Optimizers: APY discovery across protocols ~$0.03 per analysis Machine-native APIs for the agent economy. Start building with Elsa x402. 🧊✨

Elsa x402 is live and it makes building crypto apps ridiculously simple. Pay per call. No keys. No accounts. Just USDC onchain. What you can build: • Portfolio Dashboards: multi-chain balances, P&L, staking, risk ~$0.03 per refresh • AI Trading Assistants:“Swap 0.1 ETH to USDC on Base” ~$0.03 per trade • Yield Optimizers: APY discovery across protocols ~$0.03 per analysis Machine-native APIs for the agent economy. Start building with Elsa x402. 🧊✨

HeyElsa

41,154 views • 8 months ago

x402 is coming to Cardano (and Masumi)! And today I'm happy to share an important milestone in this effort: The first x402 Proof-Of-Concept Memecoin Mint. Head over to to try it out. All you need is 2 USDM and some ADA for transaction fees in your wallet. Please note: This is NOT a real memecoin. It is ONLY a proof-of-concept intended to showcase the technology! There are 0 future plans for this coin.

x402 is coming to Cardano (and Masumi)! And today I'm happy to share an important milestone in this effort: The first x402 Proof-Of-Concept Memecoin Mint. Head over to to try it out. All you need is 2 USDM and some ADA for transaction fees in your wallet. Please note: This is NOT a real memecoin. It is ONLY a proof-of-concept intended to showcase the technology! There are 0 future plans for this coin.

Patrick Tobler

145,432 views • 10 months ago

I've reached the end of my patience with Zerodha, after paying over 50 lakhs in Brokerage Fees in one account alone. It's time to help other brokers to develop a robust platform. For Groww: • We need APIs for trading, which are missing. • APIs must be quick, ideally under 100ms. For Angel One: • Your APIs fail too much, showing 'RateLimitExceeded' even at 1 request per second, despite a 10 req/sec limit. • Websockets are unreliable, and order updates don't even work. • Order placements sometimes take upto 2 sec. You need to work on latency For Shoonya by Finvasia: • Great that services are free, but the latency issue is a big drawback. I would request other traders to share their feedback and suggestions too because none of the traders are gonna stop trading anytime soon.

I've reached the end of my patience with Zerodha, after paying over 50 lakhs in Brokerage Fees in one account alone. It's time to help other brokers to develop a robust platform. For Groww: • We need APIs for trading, which are missing. • APIs must be quick, ideally under 100ms. For Angel One: • Your APIs fail too much, showing 'RateLimitExceeded' even at 1 request per second, despite a 10 req/sec limit. • Websockets are unreliable, and order updates don't even work. • Order placements sometimes take upto 2 sec. You need to work on latency For Shoonya by Finvasia: • Great that services are free, but the latency issue is a big drawback. I would request other traders to share their feedback and suggestions too because none of the traders are gonna stop trading anytime soon.

Ram

223,844 views • 2 years ago

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

Santiago

20,943 views • 22 days ago