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onchain-metrics-analysis

Analyze on-chain blockchain and token data to produce structured market insights.

5|Updated May 2, 2026
Search Tags:#network health#on-chain#whale tracking#blockchain analytics#investment signals#token metrics#DeFi TVL
One-click install
npx skills add https://github.com/nirholas/three-ui --skill onchain-metrics-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onchain-metrics-analysis
Source: https://github.com/nirholas/three-ui/tree/main/data/skills/analysis/onchain-metrics-analysis
Command: npx skills add https://github.com/nirholas/three-ui --skill onchain-metrics-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you interpret complex blockchain and token activity signals into clear, decision-ready insights about network health, adoption trends, and potential accumulation or distribution.

Core Features & Use Cases

  • Network activity & health trends: Summarizes daily active addresses, new addresses, transactions, transaction volume, average transaction size, and fee dynamics to assess demand for blockspace.
  • Token-specific analytics: Evaluates holder growth, concentration risk, transfer volume and velocity, exchange balance shifts, dormancy flow, and supply dynamics such as staking and circulating supply.
  • Whale and smart-money behavior: Detects large-wallet movements, accumulation vs sell-prep patterns, and high-value transaction activity for a token.
  • DeFi protocol performance (when applicable): Reviews TVL, revenue, user counts, and retention signals to gauge sustainability and growth.
  • Cross-chain comparison: Provides a consistent metric table to compare multiple chains on activity, fees, TVL, and revenue.

Quick Start

Use the onchain-metrics-analysis skill to analyze the latest activity for a specific token and summarize the single most important on-chain signal with an accumulation or distribution phase assessment.

Frequently Asked Questions about onchain-metrics-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze on-chain data to detect whale accumulation or distribution patterns?▼

You can analyze on-chain data to detect whale accumulation by evaluating large-wallet movements, holder growth, exchange balance shifts, and dormancy flow to assess whether tokens are being accumulated or prepared for sell-off.

What is the best way to compare blockchain network health using on-chain metrics?▼

Comparing blockchain network health involves summarizing daily active addresses, transaction volume, fee dynamics, and DeFi TVL into a consistent metric table to benchmark activity and demand for blockspace across multiple chains.

Can I assess token concentration risk and supply dynamics from blockchain analytics?▼

Yes, you can assess token concentration risk by reviewing holder growth, transfer volume, velocity, staking ratios, and circulating supply dynamics to identify potential centralization vulnerabilities and supply inflation trends.

How do I evaluate DeFi protocol performance and sustainability using on-chain data?▼

Evaluating DeFi protocol performance requires reviewing on-chain TVL, revenue generation, active user counts, and retention signals to gauge the protocol's long-term sustainability and adoption growth.

What actionable investment signals can I derive from on-chain token metrics?▼

On-chain token metrics yield actionable investment signals by combining network activity trends, whale behavior, and health scores into a phase assessment that indicates whether a token is in an accumulation or distribution phase.

Does this on-chain analysis approach work for cross-chain benchmarking?▼

Yes, this approach works for cross-chain benchmarking by applying a consistent framework to compare multiple blockchains on activity, fees, TVL, and revenue to produce a structured health score and comparative observations.

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