# Reputation Scoring Sapiens builds a trust-based ecosystem by assigning dynamic reputation scores to contributors based on the quality and consistency of their data: * Initial Reputation Assignment: New users start with a baseline reputation score. As they submit data, their score is adjusted based on the reliability and relevance of their contributions. * Trust Building Through Consistency: Users who consistently provide validated, high-quality data see their reputation score increase. High-reputation contributors enjoy streamlined validation processes for future submissions and earn enhanced SPN token rewards as recognition for their contributions. * Penalties for Low-Quality Submissions: Submissions that are flagged as inaccurate or irrelevant lead to a decrease in the contributor’s reputation score. Users with low scores may face stricter validation processes or temporary suspension from data submission until their contributions meet the platform's quality standards. By combining simplified deployment models with robust data validation and incentivization, Sapiens delivers a reliable, user-focused solution tailored to the needs of modern sales teams. --- # 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://docs.spns.ai/deployment-and-maintenance/reputation-scoring.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.