# Cryptoiz

> Use this tool when you need to uncover hidden market trends and insights on Solana DEX markets, as it solves problems related to informed investment decisions and market analysis by providing whale accumulation patterns, price divergence signals, and alpha scanning capabilities through a Solana wallet interface. It takes on-chain data feeds as input and outputs actionable market intelligence, making it ideal for traders and investors seeking data-driven insights. Use Cryptoiz in contexts where timely and accurate market information is crucial for making informed investment decisions.

Canonical page: https://skillsregistry.net/skills/dadang11-cryptoiz  
JSON: https://api.skillsregistry.net/v1/skills/dadang11-cryptoiz

## Description

Cryptoiz exposes Solana DEX market intelligence tools through the MCP protocol, surfacing whale accumulation patterns, price divergence signals, and alpha scanning capabilities. It integrates with the x402 payment protocol using a Solana wallet for access to on-chain data feeds.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dadang11-cryptoiz)
- **Repository:** <https://github.com/dadang11/cryptoiz-mcp>

## 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": "dadang11-cryptoiz"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dadang11-cryptoiz` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dadang11-cryptoiz/pull`

---
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
