# Token Incentives and Economic Model Torram’s token model aligns economic incentives with network security and long-term sustainability by rewarding validators for accurate data processing and efficient participation. It also reflects a community-first philosophy that aligns with the core ethos of Bitcoin, prioritizing ecosystem growth, decentralization, and meaningful participation from users, builders, and contributors. Staking for Validators: To become active validators in the Torram network, node operators are required to lock a defined amount of tokens as collateral. Rewards for Data Accuracy: Validators earn rewards for providing high-integrity data, while those submitting incorrect or manipulated information are penalized. Query & Access Fees: Users pay query fees to access data, price feeds, or historical records, which help fund network operations. Governance & Network Upgrades: Token holders participate in protocol decisions, including network upgrades and parameter adjustments, enabling decentralized governance. Validator rewards are determined by stake amount, uptime, and the number of supported data sources. A transparent reputation system tracks these metrics, influencing validator selection and incentives. By aligning economic incentives with network security, Torram reinforces network resilience while enhancing reliability and supporting long-term sustainability. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://torram.gitbook.io/torram-documentation/technical-architecture-and-network-design/token-incentives-and-economic-model.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.