Jinko

Builders who want their AI agents to handle travel today face poor options. Browser-based automation is slow (3 to 10 minutes per search), not scalable, gets blocked by anti-bot systems, and costs $2 to $4 per session. Legacy travel APIs are faster but still take about 7 seconds per search, restrict the ratio of searches to bookings, require rigid inputs like fixed origin, destination and dates, and often demand a mandatory financial deposit plus negotiated commission contracts. This leaves agent developers without a simple, affordable, scalable way to give their agents real travel search and booking capability.

Jinko offers a single integration (via API, MCP, or CLI) that gives agents access to a large travel inventory, including 800 airlines, 2.6 million hotels, 28,000 car rental locations, with trains coming soon. It supports a four-step flow: discovery (turning a budget and vague idea into ranked destinations), search (live fares with plain-language trade-offs on time, stops and baggage), booking (collecting traveller and payment details to close the sale with one booking reference), and management (reading fare rules and quoting real costs for changes, exchanges or refunds). It also builds in agentic payment options, including handing checkout to the traveller, sending a secure checkout link, using AgentCard for controlled payment access with traveller approval, or letting travellers authorize payment via Stripe Link. Jinko advertises seconds-per-search latency with cached discovery, no mandatory deposit, pay-as-you-go pricing, and self-serve commissions for builders who want to sell travel through their agent.