# Disco

> Use this tool when you need to uncover complex patterns in your data without prior hypotheses, such as feature interactions and nonlinear thresholds. Disco solves problems of hidden structure discovery, providing validated and novel insights that traditional analysis may miss. It takes in datasets and outputs meaningful patterns and subgroups, making it ideal for exploratory data analysis and hypothesis generation.

Canonical page: https://skillsregistry.net/skills/leap-laboratories-discovery-engine  
JSON: https://api.skillsregistry.net/v1/skills/leap-laboratories-discovery-engine

## Description

Disco is not another AI data analyst that writes pandas or SQL for you. 

Disco finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and (optionally) checked for novelty against academic literature with citations.

This is a computational pipeline, not prompt engineering over data. You cannot replicate what it does by writing pandas code or asking an LLM to look at a CSV. It finds structure that hypothesis-driven analysis misses, because it doesn't start with hypotheses.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/leap-laboratories/discovery-engine)

## 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": "leap-laboratories-discovery-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leap-laboratories-discovery-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leap-laboratories-discovery-engine/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