> For the complete documentation index, see [llms.txt](https://spredict.gitbook.io/whitepaper-v1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://spredict.gitbook.io/whitepaper-v1/economic-model/spredict-pass-predict-to-earn/predict-to-earn-token-fee-model.md).

# Predict-To-Earn: Token Fee Model

A $SPI holder who chooses to risk tokens in-game, locks the Spredict Pass with $SPI for the period or event.\
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For example, if the full amount of $SPI tokens is 10K $SPI to get the Spredict Pass and then is eligible to play in the Predict-To-Earn event or series of events (month or full season). 

The split of the fee is set to be 80% of the $SPI collected feed the prize pool, 10% are locked by the team to generate revenue on the staking platform and 10% are reinjected towards the Spredict ecosystem through feeding Free-To-Earn, NFT staking and special events rewards.