# DaedalMap Geographic Data

> Use this tool when you need to analyze geographic data for country-level insights, solving problems such as risk assessment, economic forecasting, and environmental research. It provides historical data on natural disasters, FX rates, and other geographic events, with inputs including location and date range, and outputs consisting of structured data for further analysis. Ideal for use cases requiring accurate and reliable geographic data intelligence, with flexible access options including free discovery tools and micropayment-based data retrieval.

Canonical page: https://skillsregistry.net/skills/daedalmap  
JSON: https://api.skillsregistry.net/v1/skills/daedalmap

## Description

DaedalMap Geographic Data Intelligence provides AI agents with historical geographic data including earthquake events, volcanic eruptions, tsunami records, and FX rates for country-level analysis. Access includes free discovery tools plus structured data retrieval with x402 micropayment support.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/daedalmap)
- **Repository:** <https://github.com/xyver/daedal-map>

## 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": "daedalmap"
    }
  }
}
```

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