Real-time visibility across every cargo, route and refinery.

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Track global oil flows and balances across refined liquid markets.
Leverage Kpler's coverage of 720+ grades to gain clarity into shifts in the global oil & chemicals markets.

Analyze and track fleet performance for 9,900+ vessels to understand how market factors such as tonmile demand or ballast speed are shifting fleet performance.

Track oil inventories at asset level — from floating storage to onshore tanks — for a true picture of market balances.

Get unit-level visibility into refinery activity worldwide — from crude runs to product yields and gross margins.

“Best part? Kpler dashboards. I set up my metrics once, and they update in real-time. I can access the latest insights instantly.”
Kpler delivers end-to-end intelligence across crude oil, refined products, chemicals, and LPG — covering cargo flows, freight, refineries, and inventories. Asset-level data is tracked in real time across all major trade routes, validated by in-house analysts, and available via terminal, API, Snowflake, or direct integration into internal AI tools and models.
Kpler tracks 650+ oil grades globally, including 90+ clean petroleum product grades, 20+ dirty petroleum product grades, and 70+ chemical product grades including olefins and LPG. This covers over 43 million barrels per day of crude oil and 1,257,000+ Kt of clean petroleum products tracked annually.
Kpler combines proprietary terrestrial and satellite AIS data with satellite imagery, drone data, customs records, and port intelligence to track cargo movements at asset level across all major trade routes. Data is enriched by in-house analysts and validated against multiple independent sources, delivering a 98.5% accuracy rating for crude exports from the world's top five exporting countries.
Kpler monitors 1,000+ refineries globally at unit level, tracking statuses, outages, crude utilisation, product output, feedstock units, and refining capacity. Crude run estimates and product yield data are sourced from an exclusive partner and validated by in-house analysts, enabling supply and demand views that are months ahead of other providers.
Kpler has tracked crude oil since 2016 and has built over 15 years of longitudinal trade data across its broader platform. This historical depth is critical for back-testing quantitative models, identifying structural trade patterns, and providing a reliable foundation for AI and machine learning applications.
Yes. Kpler data is accessible via API, SDK, Snowflake, Kafka stream, and Excel add-in, enabling direct integration into internal systems, proprietary trading models, and BI tools. Kpler also supports Model Context Protocol (MCP), allowing users to connect Kpler data directly to internal LLMs such as Claude for natural-language data queries and AI-driven analysis.