# Airdrop Policy ### Participation Criteria * Determined based on the number of transactions, level of interaction and community participation. * Apply quantitative and qualitative indicators to evaluate the level of contribution of each user, thereby ensuring that only active and honest members receive rewards. ### Anti-Fraud Measures * Use attachment checking technology and advanced AI algorithms to detect fraudulent behaviors early, including Sybil attacks. * Apply decentralized identity verification process, combined with security protocols such as Zero-Knowledge Proofs (ZKP) to ensure the uniqueness of participants without revealing personal information. * Deploy automatic monitoring and alerting system, helping to adjust the campaign promptly if detecting abnormal signs. ### Flexible and Smart Distribution * Airdrop tokens are distributed based on the actual participation rate and effectiveness of the campaign, creating incentives for further interaction and promotion activities. * The distribution system integrates smart vesting and claiming mechanisms, ensuring that tokens are released gradually over time to minimize the risk of dumping and maintain stable token value. * A clear reward and punishment mechanism helps encourage active participation of users and ensures fairness for the entire ecosystem. The airdrop policy is built to create a transparent, safe and fair environment, promote community participation and support the sustainable development of the ecosystem. --- # 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://unidropai.gitbook.io/unidropai-white-paper/tokenomics-and-distribution-plan/airdrop-policy.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.