Use Case: How to Build an NFT DApp Using Footprint NFT API Data

While more and more developers want to build DApps for the NFT space, this often requires querying a large amount of on-chain data.

While it’s possible to purchase nodes to query part of the data, the sector involves many chains with new projects and transactions continually emerging, generating large amounts of on-chain data. Without a dedicated data infrastructure partner to provide data services, developers will encounter problems of high cost, less data, and low latency.

Parsing, querying, and structuring on-chain data is not a simple matter, and NFT transaction data is complex. The team needs to abstract it into business indicators before it can be presented to users for viewing, which is a huge workload task.

Currently, there are many on-chain data service providers on the market that provide NFT data for developers. Compared to competitors, Footprint has the most comprehensive NFT data/ the platform covers more public chains (24 chains), and more indicators (100+ NFT indicators from on-chain and off-chain data), and it can also automatically refresh Metadata to ensure data latency. In addition, Footprint also provides a wash trade filter to help developers evaluate the accuracy of numbers in the NFT market.

Furthermore, the Footprint NFT API provides two ways to access data, with the Rest API and SQL API.

Rest API — Simple and Complete

With just one line of code, developers can obtain the required data from a different API endpoint.

SQL API — Customized for Your Needs

The SQL API is a flexible, custom combination of data, to meet any developer requirements..

Make NFT data quick and easy, kindly get started for free: https://docs.footprint.network/reference/how-to-get-api-key