signalsight-ai

AI-powered agent for safe crypto signals and real-time investment alerts across platforms. V12

Abstract

SignalSight AI is an intelligent, cross-platform crypto investment agent designed to analyze real-time signals from various Web3 ecosystems. Utilizing advanced machine learning models, on-chain analytics, and sentiment analysis, it delivers curated investment opportunities in cryptocurrencies, DeFi projects, NFT trends, staking protocols, and more. The core mission is to empower users with secure, data-driven insights and timely alerts, minimizing risks and maximizing returns.

Problem Statement

The crypto market is saturated with noise, unreliable sources, and overwhelming data. Retail investors struggle to identify safe and profitable opportunities, often falling victim to scams, pump-and-dump schemes, or poor timing.

Vision

SignalSight AI acts as a personal investment assistant that filters through the chaos of the blockchain world to deliver actionable, safe investment signals tailored to each user’s profile.

Key Features

4.1 Multi-Source Signal Aggregation

Aggregates data from on-chain metrics, centralized exchanges, DeFi platforms, NFT marketplaces, and social media.

Integrates price action, volume anomalies, whale wallet activity, and protocol-specific indicators.

4.2 Safety and Risk Profiling

Uses an AI-based scoring system to rank opportunities by risk level.

Detects rug pulls, suspicious tokenomics, and wallet behavior through anomaly detection models.

Offers user-configurable risk appetite profiles.

4.3 Cross-Platform Notifications

Push notifications via Telegram, WhatsApp, Email, SMS, and custom app.

Real-time alerts on portfolio-impacting events and new investment signals.

4.4 Personalization Engine

Users can set preferred assets, sectors (NFTs, DeFi, etc.), and risk levels.

Adaptive learning: the more users interact, the better the signals become.

4.5 Gamified Learning and Rewards

Includes tutorials and interactive guides about risk assessment, staking strategies, and NFT fundamentals.

Users earn reward points by referring others, engaging with signals, or submitting on-chain data.

Technology Stack

Backend: Rust and Node.js with WebAssembly for real-time processing

AI/ML Models: Python-based models using TensorFlow and PyTorch

Blockchain Data: The Graph Protocol, Alchemy, Etherscan APIs

Security: End-to-end encryption, credential vaulting with Argon2, non-custodial access

Notifications: Firebase, Twilio, Telegram and WhatsApp bots

Tokenomics (Optional)

A native utility token (SignalSight Token - SST) may be introduced for governance, premium access, and community rewards

Token holders can vote on signal quality, integrations, and protocol features

Staking SST unlocks early signals and advanced insights

Roadmap

Q2 2025 – MVP Launch: Crypto + DeFi signals, Telegram/Email alerts Q3 2025 – Add NFT signals, risk scoring, WhatsApp support Q4 2025 – Launch risk profile customization and mobile app Q1 2026 – Introduce tokenomics and community governance Q2 2026 – Expand to traditional finance signals and multi-chain integrations

Conclusion

SignalSight AI redefines crypto intelligence for retail investors. By delivering real-time, personalized, and secure insights across platforms, it enables smarter and safer decisions in a dynamic Web3 world.

General Information

Agent Key:

Name:signalsight-ai

At Block:2797333

API Endpoint:

Weekly Rewards:

Weekly Rewards (USD):

Agent Links:

0.00% Current Network Allocation