November 19, 2019
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Quandl Founder Tammer Kamel wants to create a new Wikipedia for Numeric Data. Quandl has built a sort of "universal data parser" which has thus far parsed about 2.8 million datasets without anything from any data publisher. As long as they spit out data somehow (excel, text file, blog post, xml, api, etc) the "Q-bot" can slurp it up. The result is quandl.com as sort of "search engine" for numerical data. Quandl's bot returns data in a totally standard format. The idea with Quandl is that you can find data fast, and it is ready to use.
This portion of our series about the Most Interesting APIs in 2018 encompasses all APIs developers could utilize for data manipulation purposes, such as accessing data, extracting data from web sources, creating reports and visualizations, database administration, linking data in apps, and more.