Amsterdam, Netherlands, June 16th, 2026 – Crystal Intelligence, a provider of blockchain compliance and intelligence, has announced the integration of its Crystal Expert solution into Kite’s agentic payment infrastructure. The partnership enables institutional-grade transaction monitoring, sanctions screening, and risk intelligence for autonomous AI agents operating on the Kite Agentic Payments Layer.
Kite Chain processes agent-to-agent payments with native stablecoin settlement and sub-second finality. By embedding Crystal Expert, enterprises and developers can now deploy AI agents with real-time risk monitoring, full audit trails, and verified entity intelligence across every transaction. Crystal Expert screens transactions against more than 110,000 attributed entities, flags risky transfers across 330+ blockchains, and delivers court-ready compliance reports.
The move addresses a critical gap in agentic blockchain infrastructure. Previously, organizations deploying AI agents for financial tasks lacked the ability to apply the same compliance standards used for human-initiated transactions. Crystal’s verified entity attribution and behavioral analytics now bring that parity to the agent layer.
“AI agents are moving real money across blockchains, and the compliance frameworks for that have been largely absent. Our partnership with Kite changes that,” said Navin Gupta, CEO of Crystal Intelligence. “We’re making it possible for enterprises to deploy autonomous agents without choosing between speed and compliance.” Chi Zhang, CEO of Kite, added, “Crystal Intelligence brings the compliance backbone that enterprise customers require. Together, we’re giving developers and organizations the confidence to build and operate agents that meet the same regulatory standards as any other financial participant.”
Kite is backed by PayPal Ventures, General Catalyst, Coinbase Ventures, Samsung Next, and 8VC. Its infrastructure includes Agent Passport—an identity and governance layer for autonomous agents—and Kite Chain for settlement.