搜索

PythonReactSEOPDF
OpenClaw

Chainaware Behavioral Prediction

ChainAware Behavioral Prediction MCP

chainaware0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install chainaware/chainaware-behavioral-prediction

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

ChainAware Behavioral Prediction MCP

What This Skill Does

The ChainAware Behavioral Prediction MCP connects any AI agent to a continuously updated Web3 behavioral intelligence layer: 14M+ wallet profiles across 8 blockchains, built from 1.3 billion+ predictive data points. It delivers five capabilities via a single MCP endpoint:

  1. Fraud Detection — predict fraudulent wallet behavior before it happens (~98% accuracy on ETH)
  2. Behavioral Analysis — profile wallet intent, risk tolerance, experience, and next likely actions
  3. Rug Pull Detection — forecast whether a smart contract or liquidity pool will rug pull
  4. Token Rank List — rank tokens by holder community strength across chains and categories
  5. Token Rank Single — deep-dive into a single token's community quality and top holders

Unlike forensic blockchain tools that describe the past, this MCP is predictive — it tells your agent what is about to happen.

MCP Server URL: https://prediction.mcp.chainaware.ai/sse
GitHub: https://github.com/ChainAware/behavioral-prediction-mcp
Website: https://chainaware.ai
Pricing / API Key: https://chainaware.ai/pricing


When to Use This Skill

  • User asks about wallet safety, fraud risk, or suspicious activity
  • User wants to screen a wallet, contract, or LP before interacting with it
  • User needs AML/compliance checks on a blockchain address
  • User wants behavioral profiling or DeFi personalization for a wallet
  • User asks about token quality, community strength, or holder analysis
  • User is building a DeFi platform, AI agent, launchpad, or compliance tool
  • User wants to integrate the ChainAware MCP into their codebase

When NOT to Use This Skill

  • User asks about general blockchain data (balances, transaction history) → use a block explorer
  • User wants real-time price data or market cap → use a market data API
  • User wants to analyze smart contract code for bugs → use a code auditing to...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/chainaware/chainaware-behavioral-prediction
Version
—
Commit
4de2524303335bc6f2966cccecd06b5413378658
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# ChainAware Behavioral Prediction MCP

## What This Skill Does

The **ChainAware Behavioral Prediction MCP** connects any AI agent to a continuously updated
Web3 behavioral intelligence layer: **14M+ wallet profiles** across **8 blockchains**, built from
**1.3 billion+ predictive data points**. It delivers five capabilities via a single MCP endpoint:

1. **Fraud Detection** — predict fraudulent wallet behavior before it happens (~98% accuracy on ETH)
2. **Behavioral Analysis** — profile wallet intent, risk tolerance, experience, and next likely actions
3. **Rug Pull Detection** — forecast whether a smart contract or liquidity pool will rug pull
4. **Token Rank List** — rank tokens by holder community strength across chains and categories
5. **Token Rank Single** — deep-dive into a single token's community quality and top holders

Unlike forensic blockchain tools that describe the past, this MCP is **predictive** — it tells your
agent what is *about to happen*.

**MCP Server URL:** `https://prediction.mcp.chainaware.ai/sse`  
**GitHub:** https://github.com/ChainAware/behavioral-prediction-mcp  
**Website:** https://chainaware.ai  
**Pricing / API Key:** https://chainaware.ai/pricing

---

## When to Use This Skill

- User asks about wallet safety, fraud risk, or suspicious activity
- User wants to screen a wallet, contract, or LP before interacting with it
- User needs AML/compliance checks on a blockchain address
- User wants behavioral profiling or DeFi personalization for a wallet
- User asks about token quality, community strength, or holder analysis
- User is building a DeFi platform, AI agent, launchpad, or compliance tool
- User wants to integrate the ChainAware MCP into their codebase

## When NOT to Use This Skill

- User asks about general blockchain data (balances, transaction history) → use a block explorer
- User wants real-time price data or market cap → use a market data API
- User wants to analyze smart contract code for bugs → use a code auditing to...

相关技能

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.