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Moonstream DAO Uses Chainlink VRF to Power Randomized In-game Rewards for Crypto Unicorns

Moonstream DAO is using Chainlink to create a truly randomized reward system for the new Crypto Unicorns minigame, the Dark Forest.

Crypto Unicorns is a Polygon-based play-to-earn NFT game developed by Laguna Games. Moonstream DAO developed a minigame in which unicorns can explore the Dark Forest at the edge of their realm. In exchange, they receive an in-game currency called Unicorn Milk and can sacrifice that Unicorn Milk for a chance at earning various in-game rewards.Moonstream DAO used Chainlink Verifiable Random Function (VRF) to determine which rewards a player receives when they sacrifice Unicorn Milk.

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A random number generator for blockchain games has to be transparent to the players but also secure enough to prevent tampering by miners. Off-chain solutions do not provide transparency. Randomness derived from blockchain data like block hashes can be exploited by miners or validators.

We chose Chainlink VRF because it’s based on academic research, supported by a battle-tested oracle network, and secured through the generation and on-chain verification of cryptographic proofs.

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Moonstream DAO devised a new way of deriving multiple, independent random numbers from a single call to the Chainlink VRF, just one of the innovations we are making for the NFT gaming community.

Moonstream DAO is a project that helps developers connect their off-chain infrastructure to the on-chain game ecosystem. Moonstream’s Terminus protocol allows NFT game developers to create on-chain loyalty programs as well as markets for in-game items on the blockchain.

“In the Dark Forest project we used the power of Moonstream’s technological breakthroughs to make positive changes in the NFT gaming industry. Moonstream DAO also allows game developers to focus more on creating a fun gaming experience and less on figuring out the caveats of blockchain development” – Neeraj Kashyap, CEO of Moonstream DAO.

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[To share your insights with us, please write to sghosh@martechseries.com]

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