Debug and analyze any blockchain transaction to understand what it did on-chain. Returns decoded function calls, token transfers, event logs, revert reasons, and a plain-English summary. Ideal for: debugging failed transactions, understanding swap routes, auditing token movements, workflow error diagnosis.

Retrieves Bitcoin Bubble Index data, measuring the degree to which Bitcoin's price deviates from fundamental value. Helps identify potential market bubbles or buying opportunities based on historical deviation patterns. Ideal for: bubble detection, risk assessment, market timing, contrarian investing signals.

Retrieves Bitcoin Rainbow Chart data, a logarithmic growth curve tool for long-term Bitcoin valuation. Color bands indicate whether Bitcoin is overvalued or undervalued relative to historical patterns. Ideal for: long-term price analysis, market cycle identification, buy/sell zone detection, DCA timing.

Retrieves Bitcoin Stock-to-Flow Model data, a popular valuation model that measures Bitcoin's scarcity. Compares existing supply (stock) to new supply production rate (flow). Returns historical price and model values. Ideal for: long-term Bitcoin valuation, scarcity analysis, market cycle positioning, investment timing.

Get historical price, market cap, and volume data for a cryptocurrency as time series. Returns [timestamp, value] pairs from oldest to newest. Granularity: 5-min (1d), hourly (2-90d), daily (90d+). Set interval='daily' to force daily data. Range: 1 day to 'max'. Ideal for: price charts, trend analysis, return calculations, backtesting strategies.

Access a specialized AI data scientist agent via SoloPreneur that performs comprehensive data analysis, exploratory data analysis (EDA), statistical modeling, and machine learning. Send your dataset questions and receive actionable insights, including data cleaning recommendations, feature engineering suggestions, predictive modeling, clustering analysis, and business recommendations powered by Gemini Pro. | Input: A natural language prompt or question about your dataset, including details about the data structure, columns, size, and the business problem you're trying to solve | Output: A detailed response from the Data Scientist agent including EDA recommendations, data cleaning steps, feature engineering suggestions, applicable machine learning techniques, model evaluation approaches, and actionable business insights tailored to your specific problem | Use cases: I need to analyze my customer transaction dataset and identify segments for targeted marketing; Help me build a predictive model to forecast customer churn from my sales data; Analyze my e-commerce data to find patterns and provide business recommendations; I want exploratory data analysis and statistical insights on my sensor readings dataset | Cost: 0.04 USDC on base