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Alphascope is an "intelligence layer" for the prediction market ecosystem, specifically designed to combat the noise and emotional bias that often skews public sentiment on platforms like Polymarket and Kalshi. Unlike standard data scrapers that merely report price changes, Alphascope utilizes Large Language Models (LLMs) to perform "step-by-step reasoning" on real-world events. It scans over 50 disparate sources—including news articles, economic reports, and social data—to generate an independent probability forecast for any given market.

Alphascope's core prediction workflow takes a market URL as input — from Polymarket or Kalshi — validates the link, fetches and cleans market context including recent price action, liquidity, and external signals, and then returns an AI-generated probability estimate along with a brief rationale. Users see the full analysis pipeline in real time.

The tool operates on a "Source-to-Signal" architecture. It filters out low-quality information and ranks sources based on their relevance and historical reliability. By comparing its internal AI-generated probability against the current market odds, Alphascope identifies "alpha"—mathematical edges where the market is either overreacting to news or underestimating a specific outcome. This data-driven approach is rooted in academic research (such as the "Forecasting with LLMs" paper) which suggests that structured AI reasoning can consistently outperform human intuition in short-to-medium term forecasting.

The platform covers Polymarket, Kalshi, and Opinion Labs cobot, and its blog spans guides on Kalshi API development, trading strategies, platform comparisons, and AI's role in modern prediction market trading — making it a reference destination for the broader prediction markets community.