Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
W3.io and Space and Time Launch Verifiable Infrastructure for Autonomous Finance
W3.io and Space and Time have moved a step beyond the usual AI finance pitch by focusing on a simpler question. When autonomous systems start moving real money, who can actually prove what happened? The two companies said on April 21 that they have launched a production partnership designed to bring end-to-end verifiability to enterprise financial workflows. The integration is already live and processing more than 200,000 workflows per day, a number that gives the announcement more weight than a pilot or lab-stage proof of concept. The partnership is built around a chain of proof The architecture is split into two layers. W3.io handles workflow execution, giving enterprises a way to build, automate and control agent-powered financial workflows. Space and Time provide the underlying verifiable data layer. Put differently, W3 verifies the workflow, and Space and Time verify the record behind it. That distinction matters because the growing use of AI agents in finance is creating a new accountability problem. Enterprises increasingly want automated systems to handle payments, vendors, compliance flows, and internal coordination, but the more autonomous those systems become, the harder it can be to show exactly who authorized what, when it happened, and whether the supporting data was altered along the way. The two firms are clearly trying to make that proof part of the infrastructure itself, not an afterthought added later. Creatorland became the first production stress test The model has already been tested in a live environment through Creatorland, a platform serving more than 100,000 content creators. According to the companies, the deployment has been handling high-volume workflows involving payments, deal management and creator compensation, giving both systems a real production test under enterprise conditions. W3.io also said Space and Time joins a growing list of integrations on its platform, alongside firms such as Circle, Stripe, MoonPay, BitGo, PayPal and Paxos. That broader ecosystem is part of the story. W3 is positioning itself as an operating system for autonomous finance, while Space and Time is pitching itself as the data blockchain securing onchain finance. Together, they are making a fairly direct argument: enterprise adoption of agentic finance will depend less on whether AI can move money, and more on whether institutions can defend the record when auditors, regulators or counterparties ask what the system actually did.