What is Learning Nodes?
How do I use Learning Nodes?
FAQs
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Learn how toData ConsumerPurchase a Dataset
Purchase a DatasetAre you looking to expand your data collection and enhance your projects with fresh insights?Let us take you through the process of purchasing datasets in our platform, step by step. Whether you're new to the platform or an experienced data consumer, this guide is designed to help you make the most of your data purchases and achieve your goals with ease.Choose a datasetSearching for a dataset should be straight-forward, just type in what you're after in our search box.This can be a keyword or concept, let our search engine do the rest!Want to limit the search? Try exploring different parameters in our filters.Search results are meant to give you a clear image of the datasets available.
One seems to fit? Click on the purple arrow for more information.Quality assuranceThe first step in acquiring a dataset is understanding its index.
The index is a column that acts as its primary key (meaning it should never repeat).An index may be a:
In the case of an instagram influencer selling their analytics, the row may represent a post or a day of activity, hence the ppr will reflect what they believe the price of each post or day of activity should be.We want to make sure you have a very clear image of the data quality in the purchase you are about to make.
This is why we've provided you three overall quality features:Text the author can fill inCheck out the image below to know exactly what we ask a data consumer to write for you in the following sections:
Remember you can purchase by row granularity! This means that if you feel the sampling provided isn't enough, you can make a really small purchase and sample the dataset on your own.Note 2:
Have some quality suggestions? Let us know in our Discord channel.Checkout and paymentSet your purchaseHow many rows are you after? The whole dataset?Payment TypeHow would you like to pay for the data?
We currently offer:
Read more on IOTA here.
Read more on how to purchase USDC here.