NodusAI is an Oracle API that produces grounded, probabilistic market signals
NodusAI-Your-Prediction-Oracle is an early-stage HTML project in the AI payments / x402 ecosystem, focused on avalanche, base, blockchain, ethereum. It currently has 2 GitHub stars and 2 forks, and sits alongside related tools like tdm-integration-kit, gold-402, mcp-server.
Website: https://nodusai.app
Probabilistic likelihood assessments powered by real-time data analysis
Note: This repository intentionally excludes NodusAI's proprietary oracle engine. The core assessment logic, scoring algorithms, and production infrastructure are not included.
NodusAI is an outcome-focused research and verification platform designed to provide evidence-backed likelihood assessments for prediction markets and decision systems.
Rather than generating opinions or predictions, NodusAI produces structured research signals grounded in publicly available information, with clear sourcing, timestamps, and uncertainty.
NodusAI helps users and developers assess how strongly current public evidence supports a specific outcome, such as outcomes listed in prediction markets or event-based questions.
Core capabilities include:
To avoid ambiguity, NodusAI is intentionally not:
Outputs are probabilistic research signals, not assertions of fact.
NodusAI integrates x402, enabling:
This model allows access to research signals without relying on tokens, ads, or data extraction.
NodusAI provides evidence-backed likelihood assessments based on publicly available information.
NodusAI does not provide financial, investment, legal, or tax advice. All outputs are for informational and research purposes only.
For more details, see docs/legal.md
NodusAI is under active development. Interfaces and schemas may evolve as the platform expands.
See docs/legal.md for complete terms and conditions.
MIT License - See LICENSE for details.
Documentation Issues: Open a GitHub issue Security Concerns: See SECURITY.md
// All examples use mock endpoints - replace with your actual API URL const response = await fetch('https://api.example.com/v1/assess', { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer YOUR_API_KEY' }, body: JSON.stringify({ query: 'Will the Federal Reserve raise interest rates in Q1 2026?', sources: ['news', 'government', 'financial'] }) });
const result = await response.json(); console.log(result.assessment); // e.g., "Unlikely" console.log(result.likelihood); // { estimate: 0.35, lower_bound: 0.25, upper_bound: 0.45 }
API Reference - Endpoints, authentication, request/response formats Architecture Overview - System design (public components only) X402 Payments - Crypto micropayment integration Security - Security practices and guidelines Legal & Disclaimers - Terms, liability, and usage restrictions
├── docs/ # Documentation ├── schemas/ # JSON schemas for API validation ├── examples/ # Code examples and client libraries ├── demo-ui/ # Interactive demo (mock data only) └── README.md # This file
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