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Alphascope — Free AI Predictions for Polymarket & Kalshi (2026)

Alphascope is an AI research workspace for prediction market traders that helps users analyze live odds, forecasts, and news impact across Polymarket, Kalshi, and other platforms. For traders and market researchers, combining AI forecasts with live pricing and settlement context can support more disciplined decisions on potentially mispriced markets.

Alphascope — Free AI Predictions for Polymarket & Kalshi (2026)

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Detail Information

What

Alphascope is an AI-assisted research workspace for prediction market traders using platforms such as Polymarket, Kalshi, Manifold, and Opinion. It combines live odds, AI forecasts, news impact analysis, and market pages in one workflow to help users evaluate whether a market move reflects new information, thin liquidity, or a potential pricing gap. Based on the page, it appears positioned as a free analysis layer rather than a trading venue.

Features

  • AI-powered probability forecasts: Models analyze market data, news, and patterns to estimate outcome probabilities and highlight gaps between AI views and current market prices.
  • News impact analysis: Breaking news is ranked by likely market impact so traders can quickly identify which events may be moving related contracts.
  • Multi-platform market tracking: Users can compare the same event across Polymarket, Kalshi, Manifold, Opinion, and other supported sources from one dashboard.
  • Real-time probability charts: Interactive charts show changing probabilities over time with trend context and news markers to support timing and catalyst review.
  • Alerts and filters for market discovery: The product surfaces unusual volume, probability spikes, and potential mispricing, while filters narrow markets by platform, category, probability range, and minimum volume.

Helpful Tips

  • Treat AI forecasts as research inputs, not standalone trade signals; the useful question is whether the forecast differs enough from live odds to justify deeper review.
  • Check settlement rules, spread, and liquidity before acting, since a correct directional view can still be a poor trade after execution costs or ambiguous contract wording.
  • Compare related markets across platforms and categories to test whether a catalyst is fully reflected or whether similar contracts are reacting differently.
  • Some roadmap items, including portfolio tracking, automated strategies, and AI reports, are marked “coming soon,” so buyers should separate current workflow needs from planned functionality.

OpenClaw Skills

A likely OpenClaw use case is building agents that monitor Alphascope pages for market changes, summarize catalyst-driven moves, and route notable shifts into research or risk-review workflows for trading teams, analysts, or content operations. Another plausible workflow would combine Alphascope’s crawlable market context with OpenClaw skills for news triage, cross-market comparison, contract-language checks, and probability-change reporting; this is an inferred ecosystem fit, not a confirmed native integration from the page. In practice, that combination could make prediction market research more systematic for traders, financial researchers, and media teams following event-driven markets.

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