# enrichr

> enrichr — cognis-digital-enrichr. Use this tool when you need to enhance lead data with firmographics, tech stack information, and validated contacts. It solves the problem of incomplete lead data by integrating with pluggable providers and caching results to optimize API usage. The enrichr tool takes a leads CSV as input and outputs an enriched CSV with additional relevant data.

Canonical page: https://skillsregistry.net/skills/cognis-digital-enrichr  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-enrichr

## Description

Enrich a leads CSV with firmographics, tech stack, and contact validation from pluggable providers, caching results to avoid duplicate API spend.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/enrichr)

## 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": "cognis-digital-enrichr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-enrichr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-enrichr/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