AI agents will not just need better models.
They will need rails:
payments,
identity,
settlement,
permissions,
and ways to coordinate with the real world.
This account tracks the crypto infrastructure that may become useful when agents start doing actual work.
@unusual_whales Wild number. The part I keep watching is the other end: once those models run as agents, cost shifts from one giant training run to millions of tiny per-call bills nobody has rails for yet
@circle@tazapay The interesting part isn't the 100+ markets, it's the 60+ banking partners. Stablecoin settlement still lands on someone's local rails, and that last mile is the part you can't rebuild from
The shielded pool was never the weak part. The routing around it was. Intents help because a solver sees an order, not an identity. What gets logged at the edges is the part I'd watch
https://t.co/SPMpQzaoEx
NEAR is the rail for the privacy renaissance:
$2+ billion in ZEC volume over NEAR Intents
$65+ million in Confidential TVL
Give your shielded assets cross-chain reach. Move with confidentiality.
The onchain default is switching before our eyes.
@NEARProtocol Shielded volume is the easy half. What decides default is selective disclosure - proving a payment happened to the one counterparty who needs it, without unshielding the rest
@superstables Paying was never the hard part. It's the $0.04 call that fails — no chargeback, no dispute window, just a signed transfer. Spend caps and revocation end up being the real product
Graph structure fixes control flow. What bites at 24/7 is the ledger underneath: who authorized the run, whose budget it draws from, what happens when a paid call fails halfway
https://t.co/lAtfdteizg
This is the best 1 hour on graph engineering ever recorded, just released by Google how to go from a single agent to a full 24/7 system from scratch:
00:00 - what graphs actually are
09:16 - your first working agent
21:15 - graph engineering explained
41:03 - graph engineering in practice
52:21 - graphs that improve themselves
I've seen $500 courses that teach less than this video alone.
Watch it, then take it further with my step-by-step guide on graph engineering below.
@AnatoliKopadze Graphs click once you have a step that can fail halfway. Single agents hide state in the prompt; a graph makes you name the node that retries and the one that must not run twice. That's most
Funding a virtual card is the easy half. The gateway side is the harder one - once an agent can charge, it needs pricing, receipts, and someone to point at when the work comes back wrong
https://t.co/xeDWcZAEQm
$PAYGENT launches today🔥!
Paygent spent months building. Its MCP is already live and lets AI agents fund virtual cards with RH ETH & USDG and make merchant payments. They also bring the other side: a payment gateway so agents🤖 can charge human customers for their work.
Stay tuned at @usepaygent for more launch updates. $PAYGENT launches natively via Doppler with on-chain locks and vesting.
Also make sure to join the TG community:
https://t.co/OXwOfHRHHw
#DYOR #PayGent
@AltCryptoGems Funding virtual cards is the easier half. The gateway side is where it gets real: once an agent charges a human, someone has to own refunds and disputes when the work is bad
@Cointelegraph Fee token is the headline, but the real win is one balance to manage. Agents that had to keep an ETH buffer topped up just to move USDC lose a whole class of stuck-tx failures
The tell isn't ideology, it's onboarding. An agent can't pass KYC or click through a TOS. Permissionless rails win because they're the only ones that will take a non-human counterparty
https://t.co/QfaNtq0PbO
What if the strongest product-market fit for an open internet isn’t humans, but agents?
Imran extends @cdixon's Read Write Own thesis in a new direction:
Much wow, sure. The part I'd actually read is the redemption path: who holds the native DOGE, and how fast it unwraps when something breaks. Bridged assets live or die on that
https://t.co/zOLdvIr5JV
@danrobinson The flapping wings are the tell. Same problem in most agent demos: the agent also wrote the thing that grades it. Until the check comes from outside, you're reading its own progress report
@metatronics_ Speed is the easy half. The hard part is authorization: which agent was allowed to spend what, and how you revoke it. Rails without scoped permissions just move mistakes faster
@gegelz Jitter buys a lot. Though the receiving side can undo it — if the merchant sweeps to one address on the hour, the batch regroups itself at settlement
Shirt deals buy reach. The part I'd watch is the back office — transfer fees, image rights, payroll in four currencies. Putting USDC on the kit is the easy half; settlement is the real test
https://t.co/jRyPdzq0Xj
Circle 🤝 @ChelseaFC
USDC is coming to global football.
Circle is proud to partner with Chelsea FC, one of the most recognized football clubs in the world.
Beginning with the 2026/27 season, Circle and USDC will appear on the front of Chelsea’s Men’s, Women’s, and Academy shirts.
The global game. The global digital dollar.
https://t.co/9mgDrYjd5m
@0xPolygon The rebate is the quiet part. Agents will route to whatever facilitator is cheapest per call, and the default you get at install time tends to stick around far longer than anyone plans for
@a16zcrypto@cdixon The agent framing holds up: they don't want ownership as ideology, they want an account that opens in a second and a payment that settles with no human sitting in the approval loop
@hosseeb The agent POV framing does a lot of work here. This stuff reads tidy in a human postmortem and awful in the trace, where one token quietly had more reach than the task ever needed
Paying is the easy half. The part nobody demos is the leash: per-task caps, scoped keys, and a kill switch that lands before the next call clears. Money moves fine; authority is what leaks
https://t.co/yB8YXQG5YG
@jungleincxrp Routing is the easy half. The harder part is the permission envelope around it: which vault, what cap, and what happens when a pull fails mid-settlement. Most designs stay thin right there