# FIA Signals

> Use this tool when you need to analyze and navigate crypto markets with precision, as it provides market intelligence and insights to inform trading decisions. FIA Signals solves problems related to market volatility, risk assessment, and investment strategy by offering features like regime detection, fear and greed indexing, and trading signals. It accepts various inputs, including market data and wallet information, and outputs actionable insights and risk scores to support informed decision-making in cryptocurrency trading and investment.

Canonical page: https://skillsregistry.net/skills/fia-signals  
JSON: https://api.skillsregistry.net/v1/skills/fia-signals

## Description

FIA Signals provides professional-grade crypto market intelligence for AI agents. Offers tools for market regime detection, fear and greed indexing, perpetual funding rates, DeFi yield scanning, Solana token analysis, and trading signals with technical indicators. Premium tools like wallet risk scoring and smart contract auditing use x402 micropayments.

## Trust

- **Trust score (0–1):** 0.95
- **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/fia-signals)
- **Repository:** <https://github.com/odds7/fia-signals-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": "fia-signals"
    }
  }
}
```

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