llms.txt
Compare with other sites' llms.txt files →# Glypse
> Glypse brings prediction market analytics and event research together so you can focus on finding your edge. Get started for free, no account required.
## Guides
- [Overview](https://glypse.ai/guides.md): Educational articles on prediction markets, forecasting, and text analytics.
- [Core Concepts](https://glypse.ai/guides/core-concepts.md): What a prediction market is, how it works, and how it compares with sports betting and investing.
- [Event Contracts](https://glypse.ai/guides/event-contracts.md): What an event contract is, how it differs from options and futures, and why its price reads as a probability.
- [Venue Types](https://glypse.ai/guides/venue-types.md): Where event contracts trade and how each venue model handles custody, settlement, and resolution.
- [History of Prediction Markets](https://glypse.ai/guides/history-of-prediction-markets.md): How prediction markets evolved from Gilded Age Wall Street to regulated exchanges, and the patterns that repeat.
- [Prices and Probabilities](https://glypse.ai/guides/prices-and-probabilities.md): How prediction market prices convert to probabilities, and why the two are not quite the same.
- [Order Books](https://glypse.ai/guides/order-books.md): Where prediction market prices come from when there is no bookmaker to set them.
- [Reading a Market](https://glypse.ai/guides/reading-a-market.md): How to read a live prediction market's prices, spread, and depth before taking a position.
- [Market Resolution](https://glypse.ai/guides/market-resolution.md): How a prediction market decides a real-world outcome, and what happens when the result is disputed.
- [Market Accuracy](https://glypse.ai/guides/market-accuracy.md): Why a prediction market's accuracy is measured across many prices and outcomes, not any single one.
- [Markets vs. Polls](https://glypse.ai/guides/markets-vs-polls.md): How opinion polls and prediction markets differ, which tends to be more accurate, and when to trust each.
- [Markets vs. Sportsbooks](https://glypse.ai/guides/markets-vs-sportsbooks.md): How prediction markets differ from sportsbooks, from who sets the price to how winning accounts are treated.
- [Market Manipulation](https://glypse.ai/guides/market-manipulation.md): Why manipulated prediction market prices tend to revert, and why resolution is the more exposed layer.
- [Wisdom of Crowds](https://glypse.ai/guides/wisdom-of-crowds.md): Why collective estimates are often accurate, the conditions that accuracy depends on, and when crowds fail.
- [Superforecasting](https://glypse.ai/guides/superforecasting.md): What the Good Judgment Project found about accurate forecasters, and how far the craft carries into markets.
- [Calibration](https://glypse.ai/guides/calibration.md): What it means for probability forecasts to match outcome frequencies, and how the skill is measured and trained.
- [Brier Score](https://glypse.ai/guides/brier-score.md): What the standard accuracy score for probability forecasts measures, and what counts as a good one.
- [Base Rates](https://glypse.ai/guides/base-rates.md): Why probability estimates start from the frequency of comparable past cases, and when that anchor fails.
- [Sentiment Analysis](https://glypse.ai/guides/sentiment-analysis.md): What sentiment analysis is, how it works, and how to interpret the results.
- [Emotion Classification](https://glypse.ai/guides/emotion-classification.md): How text analysis identifies specific emotions such as anger, sadness, and joy, and what the results mean in practice.
## Help Center
- [Overview](https://glypse.ai/help.md): How to use Glypse’s prediction market analytics and research tools.
- [Cross-venue Search](https://glypse.ai/help/search.md): How Cross-venue Search matches Polymarket and Kalshi events and presents the markets within each result.
- [Market Screener](https://glypse.ai/help/screener.md): How filters and table views work together in the Market Screener, and what the displayed market figures mean.
- [Arbitrage Scanner](https://glypse.ai/help/arbitrage.md): Price comparisons between two prediction markets, with an explanation of contract costs and possible payouts.
- [Getting Started](https://glypse.ai/help/social-intelligence.md): How the Social Intelligence dashboard uses questions and queries to build an analysis of matching posts.
- [Query Syntax](https://glypse.ai/help/social-intelligence/query-syntax.md): Query operators determine which posts contribute to the Social Intelligence dashboard's results.
- [Overview](https://glypse.ai/help/social-intelligence/overview.md): The Overview tab brings together the main measurements for posts matching your query.
- [Volume](https://glypse.ai/help/social-intelligence/volume.md): How many posts match your query and when they were published, shown on the Volume tab.
- [Sentiment](https://glypse.ai/help/social-intelligence/sentiment.md): The Sentiment tab summarizes the positive, neutral, and negative labels assigned to matching posts.
- [Emotions](https://glypse.ai/help/social-intelligence/emotions.md): Which emotions appear in matching posts and how their shares change over time, on the Emotions tab.
- [Topics](https://glypse.ai/help/social-intelligence/topics.md): The Topics tab shows which broad subject areas appear in the posts matching your query.
- [Mentions](https://glypse.ai/help/social-intelligence/mentions.md): Hashtags, cashtags, linked sites, and handles found in matching posts, ranked on the Mentions tab.
