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Navigating the catalog
Find the right data for your needs.
Each API has several endpoints. For example, if you take a look at the CoinGecko API here, you’ll see there’s data on markets, coins, and public companies. Each of the endpoints extracts different data from the API, thus allowing for more flexible requests.
When you click on the APIs tab, you will see a list of endpoints available to you. You can filter them by Categories or Tags via the sidebar. The API search tab is perfect if you have an idea of the data you need.
API Search Page
API Details Page
Once you click on any API in the catalog, you will find yourself on the API details page: This page contains information about the endpoint, including a description, columns returned when data is requested, and terms of service/legal disclaimers (if any). To get started using an API, click on "Try me" - this button will take you to the query builder.
When you click on the Data Sources tab, you will see a list of Data Sources available to you. The difference between a Data Source and API is that a Data Source has multiple APIs as part of it (also known as endpoints). You can filter Data Sources by Categories or Tags via the sidebar. This would be the ideal resource if you're unaware of the data available from different sources.
Data Sources Search Page
Once you click on a Data Source in the catalog, you will find yourself on the Data Source details page: This page contains information about the source, including a description of the theme of the data and all the endpoints/datasets that the source provides. All endpoints are categorized by the type of data they provide.
Dataset details page
Looking at the Financial Modeling Prep API, for example, we see there's data on Multiples, IPO Calendars, Transcripts, and more. The "Data Sources" page lets you find the source you need, while the "APIs" page lets you find the individual datasets. This way, you can quickly get the data that interests you.
API Structures - Financial Modeling Prep with many endpoints
Categories are like genres, a more high-level view of what type of datasets Databar has to offer. These are perfect if you're just exploring the platform. Tags, however, show the specific datasets for niches. For example: If you want access to social media data, but want to just target Linkedin, you can do so with Tags. Just click the "Linkedin" tag and you can see all the endpoints providing Linkedin data.