8 Modern Use Cases Powered by Telegraph + Bittensor

Here are 8 modern Web3 and Web2 use cases enabled by the Telegraph subnet and oracle, where the Telegraph bridge facilitates cross-chain messaging, and the Telegraph subnet enables cross-subnet AI inference on Bittensor. In each case, a smart contract initiates a request, the Telegraph network manages validation and routing, and Bittensor subnets return AI-enhanced results directly to the contract.

Overview

1. DeFi Market Forecasting for Smart Contracts

  • Use Case: A DeFi options protocol on Ethereum requests 24-hour price trend predictions for BTC, ETH, and SOL.
  • Flow: The smart contract sends a request via a Telegraph Port → Telegraph subnet routes the request to Bittensor’s DeFi AI subnet (Netheril) → the subnet returns price predictions → the Telegraph validator returns the inference result to the originating contract.
  • Benefit: Enables real-time AI-powered trading logic without relying on centralized oracles

2. Smart Contract Credit Scoring for On-Chain Lending

  • Use Case: A lending protocol on Solana wants to score a borrower’s wallet using behavioral analysis.
  • Flow: The contract sends the wallet address and history through a Telegraph Port → Telegraph subnet accesses an AI model trained on wallet profiling (via a Bittensor behavior modeling subnet) → AI returns a creditworthiness score → it’s relayed back to the contract.
  • Benefit: Integrates advanced, decentralized risk modeling into lending systems.

3. AI-Powered NFT Search and Discovery

  • Use Case: A Web2 NFT marketplace wants to offer AI-generated NFT recommendations based on user preferences or wallet activity.
  • Flow: The front-end sends a cross-chain request to a smart contract → Telegraph oracle passes it to a model in the Bittensor NLP + image-gen subnet → recommended NFTs are returned to the front-end.
  • Benefit: Adds intelligent search and personalization to NFT platforms via smart contract access to AI.

4. Real-Time Fraud Detection in Cross-Chain DEX Aggregators

  • Use Case: A DEX aggregator wants to check if a trade route or liquidity pool has a high likelihood of being manipulated (e.g., MEV, rug pulls).
  • Flow: The smart contract flags a trade route → Telegraph routes the request to a Bittensor subnet trained on transaction anomalies → inference results indicate potential fraud risk → returned in real-time to the DEX UI and contract.
  • Benefit: Boosts trust in DeFi with predictive fraud detection baked into trade execution.

5. Cross-Chain AI Chatbots for DAO Governance

  • Use Case: A DAO wants an AI chatbot that can summarize proposals and answer user questions about governance activity, across chains.
  • Flow: A DAO contract triggers a request to summarize proposals → Telegraph bridges the request to a Bittensor NLP subnet (e.g., Chat or Language models) → response is returned on-chain and viewable in DAO interfaces.
  • Benefit: Enhances on-chain governance UX with AI-native tools without requiring off-chain infrastructure.

6. Memetoken Sentiment Engine

  • Use Case: A memecoin project wants to dynamically adjust tokenomics or trigger events (e.g., burns, airdrops) based on real-time sentiment across crypto Twitter, Reddit, and Telegram.
  • Flow: A smart contract on Polygon sends a sentiment request via the Telegraph Port → Telegraph subnet routes it to a Bittensor NLP subnet trained on social media sentiment analysis → AI model evaluates the memetoken’s current sentiment score → score is returned and used to trigger an on-chain event (e.g., automatic liquidity boost, or themed NFT mint).
  • Benefit: Adds a viral feedback loop where the memetoken reacts to its own community’s mood in real-time, boosting engagement and hype.

7. AI-Powered NPCs and Player Behavior Prediction in Web3 Gaming

  • Use Case: A cross-chain blockchain game wants to power intelligent non-player characters (NPCs) and anticipate cheating or rage-quitting behavior from players.
  • Flow: In-game actions are sent from the smart contract (e.g., on Avalanche) via a Telegraph Port → the Telegraph subnet queries a Bittensor subnet with behavioral AI models → NPCs adapt to user playstyles or the contract adjusts staking/reward conditions to preempt botting or drop-off → results are sent back to the smart contract in real time.
  • Benefit: Enhances player immersion and economic fairness by embedding adaptive AI into smart contracts, without centralized game servers.

8. Autonomous AI Agents for Protocol Management

  • Use Case: A DeFi protocol or DAO deploys an AI agent that autonomously monitors cross-chain economic conditions, governance trends, or network congestion and takes on-chain action (e.g., rebalance assets, flag proposals, pause strategies).
  • Flow: A smart contract (e.g., on Ethereum or Arbitrum) sends periodic or triggered requests via a Telegraph Port → Telegraph subnet routes the request to relevant Bittensor subnets (e.g., NLP for governance summaries, DeFi models for gas and volatility metrics, agentic logic for orchestration) → the AI agent returns a decision or summary → action is executed back on the originating smart contract automatically.
  • Benefit: Enables protocols to become self-regulating and adaptive, using decentralized AI agents for continuous, real-time optimization—without centralized intervention or off-chain tooling.