Currently a need exists for an efficient lowcost screening tool that can be used by clinicians for the early diagnosis of Alzheimer's Disease (AD) based on human electroencephalogram (EEG). In this paper, we present such tool (web services and demonstrator) we have developed which incorporates a number of promising non-linear analysis methods for early diagnosis and care of AD. The tool's functionalities include database query, import/export EEG, computation of biomarkers and visualization. We illustrate how it can be used to evaluate the performance of five methods for early detection of AD: zero crossing intervals (ZCI), fractal dimension (FD), central tendency measure (CTM), Hjorth index and sample entropy (SamEnt). The availability of such tool is important as it would provide a platform to compare and benchmark data sets and analysis methods used in AD research, giving access to data and analysis tools in a seamless and secure manner over the internet. It is envisaged that the tool can potentially be used as a low-cost screening tool at General practitioners (GPs) with its success to contribute towards future developments of web-based decision support system (DSS) for brain diseases. The tool is available from the BIOPATTERN portal (www.biopattern.org)