VESPA is an integrated system connecting many data services related to Planetary Science and solar Physics. The VESPA portal allows the user to query these services simultaneously, to identify data of interest from science-oriented parameters, and to plot and analyze data on-line using standard techniques.

The VESPA portal (https://vespa.obspm.fr/) is a dedicated client conceived as a discovery tool: by default, it builds a query from text fields and sends it to all available EPN-TAP services. It uses the quaero name resolver for disambiguation and completion of Solar System target names. A local registry is used to maintain a selection of services which have been reviewed by the VESPA/EPN-TAP team, but it can also access any on-line service, given its URL.

The VESPA portal can display the answer of individual services (the rows of the metadata table responding to the query), or send it to TOPCAT which has the ability to cross-correlate tables from various services. When global queries are sent to all services, the portal also gathers together results from all responding services in a single metadata table, again for further use in TOPCAT or VO tools.

An ElasticSearch interface is also being developed in the portal to enlarge cross-service capacities. It is currently used internally to check the content of all services, public and in development, but is expected to become a standard access mode when several hundred services are published (Le Sidaner et al., 2023).

Finally, data products of interest selected in EPNCore tables can be forwarded to adequate VO tools for analysis and visualization, as identified by the dataproduct_type parameter. Functions dedicated to Solar System data have been included in TOPCAT, Aladin, CASSIS, AMDA, and 3DView in the past years, e.g., to support radiance or reflectance spectra, planetary surfaces, atmospheres and magnetospheres, etc. TOPCAT now has the ability to include full spectra directly in the metadata table together with their footprints, and 60+ planetary HiPS (multiresolution maps) are available from Aladin. More specific or higher-level processing can be installed on workflows platforms or Jupyter notebooks. Examples and tutorials are available here: https://github.com/epn-vespa/tutorials .

The work has been funded by the EuroplanetH2024 Research Infrastructure (RI) European project which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871149.