Token Holder Analysis — Distribution & Whale Detection
MCP ServerFreeToken holder distribution API for AI agents. Analyze any ERC-20 token's holder structure: top holders with % ownership, whale count, Gini concentration coefficient, holder trend (growing/shrinking), and smart money addresses. Tools: token_get_holder_analysis. Use this for due diligence before inve
Capabilities4 decomposed
token holder distribution analysis
Medium confidenceThis capability analyzes the distribution of holders for any ERC-20 token by aggregating data from the blockchain to identify top holders, their percentage ownership, and the overall distribution structure. It utilizes a combination of on-chain data retrieval and statistical analysis to compute metrics such as the Gini concentration coefficient and whale counts, providing insights into the token's decentralization and potential risks. The integration with the x402 micropayment system allows for seamless access without requiring an API key, making it user-friendly for quick analyses.
Utilizes a micropayment model for access, allowing for low-cost, on-demand analysis without the need for API keys, which is uncommon in blockchain analytics tools.
More cost-effective and accessible than traditional token analytics platforms that require subscriptions or API keys.
whale count detection
Medium confidenceThis capability identifies and counts the number of 'whales'—addresses holding a significant percentage of the total token supply—by analyzing the distribution of token holdings. It employs threshold-based logic to classify addresses as whales based on their ownership percentage, providing users with insights into potential market manipulation risks. The results are returned in a structured format, allowing for easy integration into other applications or analyses.
Offers a customizable whale definition based on user-defined thresholds, allowing for tailored risk assessments rather than a one-size-fits-all approach.
More flexible in whale classification compared to static models used by other analytics tools.
gini concentration coefficient calculation
Medium confidenceThis capability calculates the Gini concentration coefficient for the token's holder distribution, providing a quantitative measure of inequality among holders. It processes the distribution data to derive the coefficient, which indicates how concentrated the token ownership is. A higher Gini coefficient suggests greater inequality, which can signal potential risks for investors. The implementation leverages statistical formulas to ensure accuracy and reliability in the results.
Calculates the Gini coefficient specifically for ERC-20 tokens, providing a tailored metric that is not commonly available in standard token analysis tools.
More focused on inequality measurement compared to general analytics platforms that may overlook this metric.
holder trend analysis
Medium confidenceThis capability assesses the trend of token holders over time, indicating whether the number of holders is growing or shrinking. It analyzes historical data to identify patterns in holder behavior, which can be crucial for understanding market sentiment and potential future price movements. The implementation involves tracking changes in holder counts and applying trend analysis algorithms to provide clear insights.
Provides a dynamic view of holder trends over time, which is often overlooked in static analyses of token distributions.
More focused on temporal analysis compared to competitors that only provide snapshot data.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓investors conducting due diligence on ERC-20 tokens
- ✓developers building analytics tools for token distribution
- ✓traders looking to understand market dynamics
- ✓analysts assessing token decentralization
- ✓investors analyzing token fairness
- ✓developers creating economic models for token distribution
- ✓investors monitoring token popularity
- ✓analysts forecasting market trends
Known Limitations
- ⚠Limited to ERC-20 tokens; does not support other token standards
- ⚠Data accuracy depends on the blockchain's state at the time of the query
- ⚠Whale definition is subjective; requires user-defined thresholds for classification
- ⚠May not capture transient whale behavior due to blockchain transaction timing
- ⚠Requires sufficient holder data to produce meaningful results
- ⚠May not reflect real-time changes in distribution due to blockchain latency
Requirements
Input / Output
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Repository Details
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Token holder distribution API for AI agents. Analyze any ERC-20 token's holder structure: top holders with % ownership, whale count, Gini concentration coefficient, holder trend (growing/shrinking), and smart money addresses. Tools: token_get_holder_analysis. Use this for due diligence before investing, detecting whale accumulation, or assessing decentralization. IMPORTANT: For contract safety (honeypot, rug-pull), use token_check_safety instead. Returns: {topHolders[], whaleCount, concentration, trend}. No API key required — x402 micropayment $0.005/call on Base L2.
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