One API key. Five market sentiment APIs.

Catch the next narrative early. See which tokens are gaining traction across Reddit's crypto communities, ranked by activity.

Full sentiment profile for any token. Get discussion volume, sentiment direction and historical trends to time your entries.

Compare up to 10 tokens at once. Evaluate relative momentum across your portfolio or watchlist in a single call.

Resolve any symbol or name to structured metadata. Build autocomplete and discovery features into your crypto tools.

Track broad crypto risk appetite across Reddit in one call. Aggregate activity, sentiment mix and the tokens driving narrative momentum.

Service-level metrics and coverage stats for the Reddit crypto dataset.

Raw post-level mention data for a token. Individual Reddit posts with author, timestamp, sentiment score and link.

See what FinTwit is trading right now. Cashtag-based trending captures the fastest-moving sentiment signals on the market.

Map X buzz to sectors. Identify which industries institutional and retail traders on X are focused on today.

Geographic lens on X stock discussion. Understand regional interest and cross-market momentum from cashtag data.

Complete X sentiment profile for any ticker. Combine with Reddit data to get a multi-source view of market sentiment.

Summarize why a ticker is moving on X. AI-generated FinTwit context for watchlists, dashboards and alert flows.

Find tickers across the X ecosystem. Same search interface as all other APIs for consistent integration.

Cross-compare X sentiment for up to 10 stocks. See which names FinTwit is most bullish or bearish on today.

Gauge the overall tone of FinTwit in one response. Market-wide buzz, breadth and the top cashtag drivers for rapid monitoring.

Service-level metrics and coverage stats for the X cashtag dataset.

Raw post-level mention data for a ticker. Individual X posts with author, timestamp, sentiment score and link.

Discover which stocks dominate the news cycle. Publisher-weighted rankings show what institutional-grade sources are covering.

Sector-level news sentiment. Spot when media narrative shifts from tech to energy or from growth to value.

Country-level news coverage. Identify geopolitical or macro events driving attention to specific markets.

Full news sentiment for one stock. Publisher counts, sentiment scores and trend data to gauge media momentum.

AI-powered news digest. Get a concise summary of why a stock is trending in the news, ready for dashboards or alerts.

Search by ticker, company name, or alias. Consistent interface across all five APIs for unified integration.

Compare news coverage across multiple tickers. See which stocks the media is bullish or bearish on relative to each other.

Summarize the full stock news cycle in one call. Aggregate coverage intensity, publisher breadth and the tickers driving headline risk.

Service-level metrics and coverage stats for the news dataset.

Raw article-level mention data for a ticker. Individual news articles with publisher, timestamp, sentiment score and link.

See where prediction market bettors are putting real money. Stocks ranked by Polymarket activity reveal conviction, not just chatter.

Sector-level prediction signals. Understand which industries bettors expect to outperform based on real-money positions.

Country-level prediction data. Gauge geopolitical expectations from markets where participants have skin in the game.

Detailed prediction market metrics for one stock. Combine with social and news sentiment for a complete picture.

Find any ticker tracked on Polymarket. Mention counts and metadata for building prediction-aware features.

Compare prediction market sentiment across up to 10 stocks. See where the money is flowing before the crowd catches on.

Measure aggregate prediction-market conviction in one request. Track market-wide activity, liquidity and the tickers driving real-money positioning.

Service-level metrics and coverage stats for the Polymarket dataset.