diff --git a/+siibra/+internal/API.m b/+siibra/+internal/API.m
index b119589..d9da4ce 100644
--- a/+siibra/+internal/API.m
+++ b/+siibra/+internal/API.m
@@ -4,7 +4,7 @@
     properties (Constant=true)
         Endpoint = "https://siibra-api-stable.apps.hbp.eu/v1_0/"
         EndpointV2 = "https://siibra-api-stable.apps.hbp.eu/v2_0"
-        EndpointV3 = "https://siibra-api-latest.apps-dev.hbp.eu/v3_0" % still finalizing
+        EndpointV3 = "https://siibra-api-stable.apps.hbp.eu/v3_0"
     end
 
     methods (Static)
diff --git a/README.md b/README.md
index 218f976..d5c1b1e 100644
--- a/README.md
+++ b/README.md
@@ -3,10 +3,8 @@
 [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=FZJ-INM1-BDA/siibralab&file=walkthrough.mlx)
 [![View siibralab on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://de.mathworks.com/matlabcentral/fileexchange/121148-siibralab)
 
-``siibra`` is a toolsuite for working with brain atlases that integrate parcellations and reference spaces at different spatial scales, covering multiple aspects of brain organization, and linking features from different data modalitites to brain structures. It aims to facilitate the programmatic and reproducible incorporation of brain region features from different sources into reproducible neuroscience workflows.  siibraLab is a Matlab® toolbox for accessing functions provided in siibra. 
+``siibra`` is a toolsuite which connects neuroscience data from different modalities and resources to anatomical structures defined in brain parcellation maps, and links reference coordinates spaces at macroscopic and microscopic resolution into a common informatics framework. It enables anatomical characterization and multimodal profiling of various forms of regions of interest in the brain. The number of connected data resources is constantly growing, and includes measures of cellular and molecular architecture, parcellation-based connectivity, and microscopy image resources hosted on cloud resources. siibraLab is a toolbox for accessing data and functionalities offered by siibra conveniently from Matlab®. 
 
 siibra provides structured acccess to parcellation schemes in different brain reference spaces, including volumetric reference templates at both macroscopic and microscopic resolutions as well as surface representations. It supports both discretely labelled and continuous (probabilistic) parcellation maps, which can be used to assign brain regions to spatial locations and image signals, to retrieve region-specific neuroscience datasets from multiple online repositories, and to sample information from high-resolution image data. Among the datasets anchored to brain regions are many different modalities from in-vivo and post mortem studies, including regional information about cell and transmitter receptor densties, structural and functional connectivity, gene expressions, and more.
 
-The main implementation of siibra is the Python client [siibra-python](https://github.com/FZJ-INM1-BDA/siibra-python). To understand the scope, please refer to the [documentation](https://siibra-python.readthedocs.io). There is also an interactive web application built around a 3D viewer, [siibra-explorer](https://github.com/FZJ-INM1-BDA/siibra-explorer), which is [hosted as part of the EBRAINS infrastructure](https://atlases.ebrains.eu/viewer). 
-
-The toolbox is in very early development. Its API is not yet stable and the set of supported features is still basic. We share releases of the toolbox on [matlab file exchange](https://www.mathworks.com/matlabcentral/fileexchange). If you are interested in the ongoing development and future releases, [drop us a note](mailto:info@siibra.eu).
+The toolbox is under active developmemt. Try out the [walkthrough tutorial in MATLAB Online](https://matlab.mathworks.com/open/github/v1?repo=FZJ-INM1-BDA/siibralab&file=walkthrough.mlx)! We publish releases on [matlab file exchange](https://www.mathworks.com/matlabcentral/fileexchange). To understand the  concepts, it is also useful to skim through the [siibra-python documentation](https://siibra-python.readthedocs.io) and to have a look at the interactove 3D viewer [siibra-explorer](https://github.com/FZJ-INM1-BDA/siibra-explorer), which is [hosted on EBRAINS](https://atlases.ebrains.eu/viewer).  If you want to get in touch regarding future developments, [drop us a note](mailto:info@siibra.eu).