# Prism AI’s Core Components

The system is composed of several tightly integrated yet independently operable modules. Each one solves a specific bottleneck observed in institutional crypto workflows.

### Prism Query

* High-speed, low-latency querying layer for address-level and protocol-level data.
* Supports temporal, behavioral, and cohort queries.
* Built on a columnar storage backend with in-memory acceleration for active datasets.
* Capable of running filtered queries across 40+ chains with address tagging baked into query conditions.

### Smart Segments

* Segment builder engine that allows users to define behavioral patterns — e.g., “users who bridged >$10K from Arbitrum to Base and interacted with 3+ DeFi protocols within 7 days.”
* These segments are continuously refreshed and used as filters across other tools.
* Enables investor-specific, protocol-specific, or security-specific cohort definitions.

### Research Portal

* Visual layer for token lifecycle exploration, wallet intelligence, on-chain funding trails, and early signal analysis.
* Offers connection graphing, on-chain capital flow timelines, and protocol governance impact tracking.
* Designed for VCs, analysts, and fund managers who require a full audit trail before committing capital.

### Portfolio & Dashboards

* Aggregated wallet monitoring across chains, auto-tagged by role and interaction history.
* Supports drill-down into farming positions, staked assets, and high-risk protocol exposure.
* Dashboards support real-time feeds and historical state snapshots.

### Custom Alerts

* User-defined alert system based on chain events, wallet behaviors, or segment activity.
* Engine supports multi-condition logic (e.g., “if smart contract X sees >1000 new users in 4 hours and Y token’s liquidity drops by 20%”)
* Useful for airdrop monitoring, MEV risk detection, liquidation signals, and more.