# Baselight

> Use this tool when you need to access and analyze large amounts of public data from trusted sources, such as demographics, economics, and public safety information. Baselight provides a natural language querying interface to discover, combine, and analyze data from 90+ sources across 190+ countries, outputting structured insights without requiring manual configuration. It solves problems related to data discovery, analysis, and visualization, making it ideal for use cases involving market research, economic analysis, and data-driven decision making.

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

## Description

Baselight provides access to a catalog of 70,000+ datasets from trusted public sources including the US Census Bureau, CDC, FBI, IMF, World Bank, and sports statistics providers. The server enables natural language querying across markets, economics, demographics, public safety, and prediction market data from 90+ sources spanning 190+ countries. Users can discover, combine, and analyze structured public data without manual configuration.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/baselight)

## 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": "baselight"
    }
  }
}
```

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