# casestudies.dev

> Use this tool when you need to research and analyze real company case studies for sales, competitor analysis, or due diligence. It provides instant access to structured data on 400+ companies and 1,400+ case studies, with features like semantic search, company analysis, and side-by-side vendor comparison. Ideal for AI agents, sales teams, and analysts seeking actionable insights and data-driven decision-making.

Canonical page: https://skillsregistry.net/skills/casestudies-dev  
JSON: https://api.skillsregistry.net/v1/skills/casestudies-dev

## Description

Search, analyse, and compare thousands of real company case studies. Built for AI agents, sales teams, and analysts who need instant access to structured case studies across 400+ companies and 1,400+ case studies.

Tools include: semantic search by natural language, company analysis (top industries, notable clients, outcome highlights), side-by-side vendor comparison, and chronological timelines for due diligence.

Use cases: sales research, competitor analysis, procurement vendor evaluation, VC due diligence, and AI agent RAG pipelines.

## 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:** devops-ci
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/casestudies/dev)

## 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": "casestudies-dev"
    }
  }
}
```

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