# Fees & Royalties

## **Royalties**

NFT integrations on Eclipse Pad will have set royalties when traded or exchanged on secondary markets.

Below is the breakdown of the different NFT utilities and what the royalty fees will be for each, these royalty fees will be allocated and distributed in different places across the platform. More details on these NFTs can be found at: [Eclipse NFTs](/general-information/eclipse-nfts.md)

### **Vested NFT positions**

The vested NFT positions will have set 10% royalty fees. This fee will be collected when traded on the secondary market. These collected royalty fees will be automatically allocated per Eclipse’s revenue model.

### **Airdrop NFTs**

Airdrop NFTs will have a set 10% royalty fee. This fee will be collected when traded on the secondary market. These collected royalty fees will be automatically allocated to the launching project, $ECLIP buy and burn, and the protocol.

### Staking position NFTs

Staking positions that are converted into NFTs and traded on the secondary market will have a set 5% royalty fee. This royalty is lower to make it easier to trade staking positions, but not too low that it can be easily gamed.&#x20;

100% of these royalties will be automatically allocated to $ECLIP token buybacks and supply reductions.

### Launching Fees

Launching a project on Eclipse Pad will launch fees to cover marketing and operations. In the earlier stages of the platform, this will be a 7% cash percentage of the IDO raise.&#x20;

### Accelerator Fees

Projects participating in the Eclipse accelerator program will allocate a portion of token allocation as a fee for taking part in the program, this will be vested and allocated between Eclipse Pad, the [Rewards Pool](/eclipse-mechanics/rewards-pool.md), and relevant partners in the accelerator.

The accelerator program will also take a 5-7% commission fee on money raised from VCs where the accelerator program is responsible for the introduction and matching. These collected fees will go towards operational expenses and scaling up the program.<br>


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