> ## Documentation Index > Fetch the complete documentation index at: https://splice.genomeprotocol.com/llms.txt > Use this file to discover all available pages before exploring further. # OVERVIEW ## SPLICE Splice doesn’t just track who joins — it scores user actions, filters noise, and maps the dyanmics of loyalty across ecosystems. It does this through **five interconnected systems** that analyse user behaviour across games, quests, referrals, and social platforms, transforming scattered signals into a unified measure of loyalty and growth using state of the art machine learning algorithms. Splice Systems Overview *** ### [CORTEX](/docs/splice-engine/cortex) The interpretation engine, responsible for coalating, converting, and condensing actions captured by the sub-systems — allowing teams to better understand users and take actions based on predictive insights. *** ### [CELLS](/docs/splice-engine/cells) An adaptive scoring framework used to interpret user actions. Every quest, match, or referral contributes to a weighted profile that reflects consistency, engagement, and impact. *** ### [THE SHIELD](/docs/splice-engine/shield) A real-time activity monitoring system responsible for filtering out bots, repetitive claims, and synthetic activity to preserve accuracy and ensure authenticity. *** ### [ORACLE LENS](/docs/splice-engine/lens) A predictive analysis layer that interprets historical data to reveal emerging patterns. It enables teams to forecast retention, identify risks, and uncover the strategies that drive sustainable growth. *** ### [DATA GATEWAY](/docs/splice-engine/gateway) The aggregation system designed to consolidate data from multiple chains, applications, and platforms, providing a single, verifiable view of user retention.