Wildfire is a constant risk due to its danger on both human and natural resources so modeling and simulation is an important tool to understand and forecast this phenomenon. A basic element of any simulation model is to define a way to store, compare and exchange observation and model results. Without a clear and standardized data structure, results and observations lack usability, inter-comparability and expressiveness. In this article we propose a well defined data format and API that can represent observation and model outputs. It provides a convenient way to transform fire data and can export any simulated or observed fire into KML for easy visualization. This specification enables the implementation of an experimental frame that is independent of simulation code. A database of more than 600 fires has been compiled using the API, enabling large scale reanalysis for any code that can be adapted to the proposed experimental frame.