Real-Time Market Monitoring
How autonomous agents continuously monitor 1000+ endpoints with sub-second latency.
Monitoring Architecture
Layer 1
Data Collection
Fetch from 1000+ endpoints every 50ms
Layer 2
Stream Processing
Real-time deduplication and validation
Layer 3
Signal Aggregation
Combine into market-wide signals
Layer 4
Decision Engine
Analyze and score opportunities
Layer 5
Execution Layer
Place bids on highest-scoring opportunities
Key Metrics Monitored
Inventory Status
Real-time
Stock levels by size
Price Changes
Sub-second
Retail & resale pricing
Demand Signals
Continuous
Social, trader, marketplace
Competitor Activity
Real-time
Other bot activity
Market Sentiment
Hourly
Overall bullish/bearish
Sellout Speed
Continuous
Depletion rate
Alert System
Inventory Alert
New stock detected in tracked models
Response: <50ms
Price Alert
Significant price movement detected
Response: <100ms
Demand Alert
Demand score exceeds threshold
Response: <200ms
Opportunity Alert
High-probability win scenario detected
Response: <500ms
Risk Alert
Market conditions shift negatively
Response: <1s
Dashboard Real-Time Indicators
- • Market Status: Live / Monitoring / Opportunities detected
- • Data Freshness: Age of last price/inventory update
- • Agent Health: CPU, memory, connection status
- • Bid Success Rate: % of placed bids that resulted in wins
- • Current ROI: Real-time profit/loss tracking