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

    ┌─────────┼─────────┐
    ▼         ▼         ▼
 Claude    GPT-4    Gemini    ... (6 models)
    │         │         │
    └─────────┼─────────┘

      Consensus Engine


    Validated Recommendation
       + Confidence Score
       + Dissent Analysis

Why 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

Tier
Price
AI Models
Best For

Quick

$0.01

1 model

Fast screening

Standard

$0.05

3 models

Normal analysis

Deep

$0.10

6 models

Important decisions


Quick Start


Documentation

Section
Description

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

  1. You submit a market URL via Telegram or API

  2. Scanner fetches fresh data from Polymarket

  3. Orchestrator sends to 6 AI models in parallel

  4. Each model analyzes and returns action + confidence

  5. Consensus engine aggregates using weighted voting

  6. 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:

Model
Problem

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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