Decentralized AI Oracle
for Monad Prediction Markets

Market Noise,
Decoded.

Real-time sentiment analysis meets on-chain data. AI-powered prediction markets for Monad memecoins.

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ARCHITECTURE

A sophisticated system combining real-time data analysis with on-chain settlement for transparent, trustless prediction markets.

01

Data Collection

  • X API (Twitter)
  • Jupiter API V2
  • Volume & Liquidity
  • Sentiment Tracking
02

AI Oracle

  • Claude Opus 4.5
  • Trend Classification
  • Confidence Scoring
  • Event Generation
03

Smart Contract

  • Prediction Markets
  • Stake & Vote
  • Reward Distribution
  • On-chain State
04

Web Interface

  • Wallet Connect
  • Real-time Updates
  • Leaderboards
  • User Proposals
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Monitor Signals

Continuous monitoring of X and on-chain metrics via Jupiter API for price, volume, and liquidity.

DATA INGESTION
01

AI Analysis

Claude Opus analyzes data and determines if it represents a real trend with sufficient confidence.

PROCESSING
02

Earn Rewards

Winners split the losers' pool plus fees. Claim rewards directly to your wallet.

SETTLEMENT
03
ON-CHAIN PROGRAM

Technical
Specifications

contracts/PredictionMarket.sol
Storage:
├── PredictionMarket           Global contract state & configuration
├── Prediction (mapping)       Individual prediction with voting data
├── UserStake (mapping)        User's stake for a specific prediction
└── ERC-20 Collateral          Per-prediction token escrow

Functions:
├── createPrediction           Oracle creates new prediction
├── stakeVote                  User stakes tokens and votes
├── resolvePrediction          Oracle resolves with Pyth price
├── claimRewards               Winner withdraws stake + rewards
└── cancelPrediction           Oracle cancels if invalid
AI MODEL
ClaudeOpus
SENTIMENT ANALYSIS
XAPI
ON-CHAIN DATA
JupiterAPI
FRAMEWORK
SolidityEVM