Introduction
Multi-AI Consensus Engine for Prediction Markets
NODO aggregates analysis from multiple AI models to provide validated insights for prediction market trading, monetized through the 402 Protocol.
The Problem
Single AI models have limitations:
Biases from training data
Hallucinations (confident wrong answers)
Blind spots on certain topics
No verification of their claims\
When trading real money on prediction markets, you need more than one opinion.
The Solution
NODO queries 6 different AI models in parallel, then aggregates their responses using weighted voting.
Your Market Question
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Claude GPT-4 Gemini ... (6 models)
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Consensus Engine
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Validated Recommendation
+ Confidence Score
+ Dissent AnalysisWhy this works:
Different models make different mistakes → errors cancel out
When models agree → higher confidence
When they disagree → important warning signal
Key Features
Multi-AI Consensus
6 frontier models analyze independently, then vote. Agreement level calibrates confidence.
Pay-Per-Use (402 Protocol)
No subscriptions. Pay $0.01-$0.10 per analysis. Lightning Network, USDC, or prepaid balance.
Multiple Strategies
Yield Farming - Buy high-probability outcomes below $1
Delta Neutral - Exploit logical mispricings between related markets
Momentum - Detect breaking news from price movements
Real-Time Scanning
Continuous monitoring of Polymarket with instant Telegram alerts.
Pricing
Quick
$0.01
1 model
Fast screening
Standard
$0.05
3 models
Normal analysis
Deep
$0.10
6 models
Important decisions
Quick Start
Documentation
Concept & Vision
Why multi-AI consensus works
Architecture
System design and components
AI Models
Model selection and voting
402 Protocol
Micropayment implementation
Strategies
Trading strategies explained
API Reference
REST API documentation
Self-Hosting
Deployment guide
How It Works
You submit a market URL via Telegram or API
Scanner fetches fresh data from Polymarket
Orchestrator sends to 6 AI models in parallel
Each model analyzes and returns action + confidence
Consensus engine aggregates using weighted voting
You receive recommendation with confidence score and any dissenting opinions
Example Output
MARKET ANALYSIS
Question: Will Bitcoin reach $150K by Dec 2025? Current: YES $0.42 | NO $0.58
CONSENSUS: SKIP Confidence: 68% (5/6 models agree) Agreement: 83%
Reasoning: Market appears fairly priced given current trajectory. Risk/reward not favorable.
DISSENT (1 model): DeepSeek recommends BUY_YES - "Historical Q4 rallies and ETF inflows suggest higher probability"
Why 402 Protocol?
Traditional pricing models don't fit AI APIs:
Subscription
Pay $50/month, use 3 times
Rate limits
Hit limits when you need it most
Freemium
Hobbled features until you pay
402 Solution: Pay exactly for what you use. $0.01 for quick scan, $0.10 for deep analysis. No waste.
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