Market Data Ingestion

ConsortiumAI continuously fetches real-time data from multiple sources to power its consensus engine.

Data Sources

The protocol aggregates data across several categories:

Price & Volume

Data Type	Description
Spot prices	Real-time token prices
LP prices	Liquidity pool valuations
Volume	Trading volume metrics
Liquidity depth	Order book analysis

Risk Metrics

Data Type	Description
Borrowing rates	DeFi lending costs
Lending rates	Yield opportunities
Volatility metrics	Price stability analysis
Protocol health	Smart contract risk indicators

Market Intelligence

Data Type	Description
On-chain activity	Wallet movements, whale tracking
Sentiment feeds	Social and news analysis
News feeds	Market-moving events

Data Pipeline

External Sources     Normalization     Consensus Engine
─────────────────   ───────────────   ─────────────────
DEX APIs         →                  →
Oracle Feeds     →   Standardize    →   MODEL_ALPHA
Lending Protocols→   & Validate     →   MODEL_BETA
On-chain Data    →                  →
Sentiment APIs   →                  →

Data Normalization

All data is:

• Standardized to common formats
• Validated for accuracy and freshness
• Streamed continuously into the consensus engine

Real-Time Processing

Continuous Analysis

Data ingestion runs continuously — there's no fixed evaluation window. The consensus engine always has access to the latest market state.

Why Multiple Sources?

Relying on single data sources creates vulnerability:

• Price manipulation — Single oracle attacks
• Stale data — Delayed feeds
• Incomplete picture — Missing market context

Multi-source ingestion provides robust, comprehensive market intelligence.