Software that acts for the people who use it: agents that trade, pay and spend.
98 stories
Every Blockster story on AI agents, newest first.
The former Ultrahuman hardware executive’s startup is betting that AI’s next interface will revolve around quick decisions: approve the ride, join the meeting or tell an agent what to do.
The integration lets businesses settle daily AI usage invoices in RLUSD. Automated payments by Claw Credit-backed agents are the planned next step.
A business can let an agent pay a supplier, cap how much it spends and send exceptions to a human. The virtual card has completed Mastercard Agent Pay certification.
Whop’s PayBox integration lets agents find products, prepare orders and pay under rules set by the buyer—without sellers changing their existing stores.
Paper Ventures, dao5 and four other investors back the platform’s expansion across tokenized assets, cross-chain settlement and AI-assisted trading.
The companies will explore identity checks and spending controls for Hecto Financial’s developing AI payment platform, connecting automated shopping with checks before money moves.
With billions flowing into AI infrastructure and computing costs changing fast, Hayes wants a market where businesses can lock in prices and suppliers can plan revenue.
AI companies are raising billions to expand. Faster loans, useful business software and paid robotaxi rides show where the money could come back.
Visa and Mesh target everyday crypto spending, Mastercard adds stablecoin risk checks, and Evervault tackles the security challenge of letting AI agents pay.
The Chair and MCP Connector let organizations approve, block or pause agent actions before they happen—with separate permissions for coding, stablecoin payments and trading.
Citi and Bank of America are limiting outside AI agents. Blockster’s MoonPay interview shows a different approach: spending with limits and human approval.
A planned proof of concept with RiskX would pair personalized structured-product selection with checks on who an agent represents, what it can do and the risks of each transaction.
