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Data Sources And Analysis

Virae uses a data and analysis layer to support market discovery, event context, search, sports pages, insights, and AI-assisted surfaces.

What this layer does​

The analysis layer can:

  • ingest events from prediction-market venues
  • normalize search and discovery data
  • enrich event pages with timelines, sentiment, news, and market context
  • support sports game context
  • power whale-monitor and leaderboard-style insight views
  • cache expensive analysis so the product can stay responsive

Current indexed venue families​

Virae's data layer is not limited to one market source.

Current indexed or supported venue families include:

  • Polymarket
  • Predict.fun
  • Kalshi
  • Azuro
  • Limitless
  • Myriad
  • Opinion
  • PancakeSwap Prediction
  • Probable
  • SXBet

Venue support can differ by feature. A venue being indexed for discovery does not automatically mean every trading, wallet, or settlement action is supported through Virae.

Event analysis​

Event pages can use analysis modules for:

  • market timelines
  • sentiment summaries
  • thesis or preview analysis
  • related news
  • orderbook and market context

AI-assisted output should be treated as decision support, not as a guarantee of outcome.

Sports context​

Sports features can use dedicated NBA and football/soccer context services. These services help game pages and bot flows present more useful match-level information than a generic event list.

Sports context availability depends on the event, upstream data, and cache freshness.

Whale monitor and insights​

The insights layer can power:

  • whale trade feeds
  • whale wallet views
  • trader leaderboards
  • wallet tags
  • AI wallet matching
  • insider or large-trader views

These surfaces are intended to help users inspect market activity. They do not prove that copying a wallet or trader will be profitable.

DefiLlama and market tracking​

Virae can also use DefiLlama-style protocol tracking for prediction-market category views and ecosystem analysis.

This is separate from a user's trading account state. Protocol-level statistics should not be confused with account balance, order status, or execution history.

X and social analysis​

Some analysis services can monitor or process X-related signals, mentions, and account discovery workflows.

These are supporting intelligence systems. They should not be read as official market resolution sources.

Developer rule​

When building on analysis output, preserve the distinction between:

  • indexed discovery data
  • tradable product routes
  • AI-generated context
  • account-authenticated execution routes
  • settlement or resolution truth

Mixing those together is the most common integration mistake.