# CryptoSense-AI

> CryptoSense-AI — edwinthoma-cryptosense-ai. Use this tool when you need to make informed investment decisions in cryptocurrencies, such as Bitcoin and Ethereum, by analyzing real-time blockchain transaction data and global economic indicators. CryptoSense-AI solves problems of uncertainty and risk in cryptocurrency investments by providing data-backed recommendations. It takes in live economic datasets and outputs structured investment advice, making it ideal for use in financial planning and portfolio management contexts.

Canonical page: https://skillsregistry.net/skills/edwinthoma-cryptosense-ai  
JSON: https://api.skillsregistry.net/v1/skills/edwinthoma-cryptosense-ai

## Description

CryptoSense AI is an intelligent financial decision agent built with Google ADK and Gemini 2.5 Flash. It connects to live Bitcoin, Ethereum, and World Bank economic datasets via MCP Toolbox for Databases, analyzes real blockchain transaction data alongside global macro indicators, and delivers structured, data-backed investment recommendations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/edwinthoma/CryptoSense-AI)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "edwinthoma-cryptosense-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/edwinthoma-cryptosense-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/edwinthoma-cryptosense-ai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt