API & export
Our data portal solution enables you to effortlessly industrialize internal and external data sharing through a range of export formats and channels.
Encourage large-scale data reuse with our [ Explore API ]
Industrialize the creation of new products and services powered by your data with our Explore API. The Huwise solution automatically generates a structured API for each dataset on your portal, complete with an exploration console and reference documentation. Through our API exploration console, you can access all or part of your data without requiring advanced technical skills.
Granular data search
Explore and analyze your data at the dataset or catalog level. Perform specific field queries, filter records, combine and analyze them, before organizing the results to fit your specific needs.
Unlimited export formats
Export your data assets in a variety of file formats, from standard JSON to Parquet, as well as CSV, XLSX, GeoJSON, Shapefile, and many more.
Easy and accessible for everyone
Enable non-technical users to perform API queries in just a few clicks at a dataset level simply by selecting filters or filling in parameters within the API console.
We use the Huwise Explore API to share our open data with partners and across multiple channels from a single point. For example, our data is distributed and showcased on multiple sites, all of which are powered by our Huwise portal via the Explore API. Additionally, the ability to quickly configure filters via the Explore API allows us to rapidly provide each partner with a customized endpoint tailored to their needs.
Export data in the right formats for your, and your users’ needs
Standardize your data so it can be immediately used in third-party software and business applications, such as your IT and GIS systems. Every dataset generates downloadable file exports in multiple, interoperable formats: CSV, Excel, JSON, GeoJSON, Shapefile, Parquet, and KML.
Integrate your data visualizations on your websites and apps
Integrate your data visualizations anywhere on the web with a simple copy-paste, thanks to automatically generated iFrame links and widgets. If data is changed at the source, any linked visualizations are automatically updated.
Share the URLs of your data visualizations
Each dataset visualization has its own URL, allowing you to:
- Share with your entire community on social media using the Facebook, X, and LinkedIn buttons.
- Directly send your data visualizations to chosen recipients via any messaging platform.
“At Datos Insights we are focused on providing financial services companies with seamless access to our proprietary data. Deploying Huwise’s data marketplace solution has helped us offer an intuitive experience that enables our customers to rapidly discover and consume relevant data. The marketplace gives a range of stakeholders the ability to dive deeper into the numbers behind the insights, delivering greater value and maximizing the impact of our data assets.”
Frequently asked questions
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Huwise automatically generates downloadable exports for every dataset published on the data marketplace, in a wide range of interoperable formats:
- CSV and Excel: for business users and spreadsheet-based analysis.
- JSON and Parquet: for developers and data engineering pipelines.
- GeoJSON, Shapefile, and KML: for GIS and mapping applications.
Beyond file downloads, the Explore API enables partners and external systems to consume data programmatically through filterable and customizable endpoints. This allows a single Huwise data marketplace to simultaneously serve multiple websites, applications, and partner integrations from a centralized data source.
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When a user contributes to enriching a dataset or creates a new dataset through a form, Huwise provides advanced moderation tools that enable administrators to review, approve, reject, or edit contributions before publication.
This governance layer ensures that user-generated content meets the organization’s quality and consistency standards, without creating a bottleneck.
Moderation workflows can be configured according to the governance model: open contributions with asynchronous review, or strict approval before publication for sensitive datasets.
This balance between openness and control helps maintain the reliability expected from a data product marketplace while scaling data enrichment across large contributor communities, including:
- Citizens,
- Field teams,
- External partners.