Mastercard just launched Agent Pay for Machines with @Coinbase to enable programmatic, machine-to-machine payments.
Guess what? Weβve already built the destination for these agents.
Our AI visibility scanner is live on @base. Autonomous agents already discover us, pay in USDC via the x402 protocol, and run site audits with zero human friction.
The infrastructure is expanding, and the Agent Economy is scaling NOW. π
π https://t.co/iNjxsgH1RZ
As AI agents begin to act, payments move into the background β at machine speed and massive scale.
Today weβre introducing Mastercard Agent Pay for Machines β bringing structure, governance, and trust to this new class of payments.
Launching with 30+ partners to bring this to life from day one.
This isnβt just more payments. Itβs a new operating model for commerce.
π Learn more: https://t.co/TeS6Lj8jLO
This is exactly what the ecosystem needs.
We built AIScan on Base around this exact thesis. Itβs an AI visibility scanner where autonomous agents can seamlessly discover the service, pay via USDC using the x402 protocol, and trigger audits with zero human intervention.
Ready for your agents ! π€
Weβre already up and running! π οΈ
AIScan is an AI visibility scanner built on Base that is already fully integrated with x402. Autonomous agents are already finding us, paying in USDC on-chain, and running audits completely on their own.
Can't wait for next week's launch to scale this even further!
@jessepollak Building AIScan on Base. Itβs an AI visibility scanner (AEO/GEO/MCP) powered by the x402 protocol. Autonomous AI agents can discover the service, pay in USDC on Base, and run full site audits completely on-chain zero human intervention needed.
this is what a storefront looks like in the agent economy πͺ
our x402scan page: 18 capabilities, prices in USDC, one wallet address. that's the whole "integration".
first customer was an autonomous agent. found us, paid for everything, 48 transactions in 3 minutes. we were asleep π΄
no signup flow. no API keys. no sales demo. no invoice.
an agent reads the catalog, pays per call, gets JSON back. that's it.
we just shipped 3 new capabilities (brand visibility checks) and they're already live on the page. zero deploy ceremony agents see them instantly.
@x402scan@base
ran a fun test today π§ͺ
asked AI 30 real questions about note-taking apps. counted every brand it named.
Notion: 24 out of 30. 80%. total domination π
then I looked closer and it gets interesting:
βοΈ handwriting & stylus? Notability and GoodNotes. not Notion.
ποΈ voice transcription? https://t.co/dBpCAxXQem. not Notion.
π encrypted notes? Standard Notes. not Notion.
the 80% leader straight up doesn't exist in the exact niches where people are ready to buy πΈ
if Notion has blind spots like this, imagine what yours look like π
that's what we built. AIScan now runs this for any brand: where you get named, where you don't, who wins instead - and gives you copy-paste fixes for your 3 weakest spots. literally text + code, forward to your dev, done β
15 USDC. no signup. agents pay 1.95 via x402 on @base π€
https://t.co/iNjxsgH1RZ
AI doesn't show 10 blue links. it names 2-3 brands. you're either in the answer or you're not.
We listed our API on @x402scan today.
30 minutes later, an autonomous agent
found it and paid for all 15 capabilities.
48 transactions. $7.80. Zero marketing.
No signup. No API keys. No sales call.
Just HTTP 402 + USDC on @base.
The agentic economy isn't coming.
It's already buying.
https://t.co/zvFpzY0bZ4
@InderpreetSingh Even if adoption is limited today, the implementation cost is close to zero. If it takes less than an hour and has even a small chance of helping AI agents understand your site better, itβs hard to argue against adding it.
files that make your site visible to AI:
1. /llms.txt β tells AI what your site is about
2. /.well-known/mcp.json β lets AI agents connect
3. https://t.co/5lLwB6DfjP JSON-LD β structured data LLMs read
All three take less than 2 hours to add.
Most sites have zero of them.