Use Cases

Built for builders

From trading algorithms to AI agents, see how teams use Narrativ to build the next generation of social-aware applications.

Algorithmic Trading

Trading Bots

Build trading strategies that react to social signals before price moves. Detect momentum shifts, sentiment changes, and viral narratives in real-time.

  • Sub-second latency for HFT strategies
  • Sentiment-weighted trade signals
  • Volume spike detection
LLM Applications

AI Agents

Feed your AI agents with real-time social context. Build autonomous systems that understand market narratives and can reason about social dynamics.

  • Structured data for RAG pipelines
  • Real-time context injection
  • Multi-platform aggregation
Backtesting & Analysis

Research

Access years of historical social data to backtest strategies and validate hypotheses. Uncover patterns between social activity and price movements.

  • 5+ years of historical data
  • Granular time-series exports
  • Academic-grade accuracy
Sentiment Overlays

Portfolio Dashboards

Enhance your trading dashboard with social sentiment layers. Give your users insights they can't get anywhere else.

  • Embeddable widgets
  • Custom visualizations
  • White-label ready
KOL & Whale Monitoring

Influencer Tracking

Track what key opinion leaders are saying and when whales are accumulating. Get alerts on influential accounts before their posts go viral.

  • 135K+ tracked profiles
  • Influence scoring
  • Early mention detection
On-chain + Social Fusion

DeFi Protocols

Combine on-chain data with social signals for a complete picture. Build smarter protocols that adapt to community sentiment.

  • Oracle-ready data feeds
  • Governance sentiment
  • Protocol health metrics

Have a different use case in mind? We'd love to hear about it.

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