# unstract

> unstract — zipstack-unstract. Use this tool when you need to extract insights from unstructured data, such as text or documents, and integrate them into API deployments or ETL pipeline workflows. It solves problems of data siloing and manual data processing, providing a streamlined interface for inputting unstructured data and outputting structured, actionable information. Ideal for use cases requiring automated data extraction and integration, such as data warehousing, business intelligence, and machine learning workflows.

Canonical page: https://skillsregistry.net/skills/zipstack-unstract  
JSON: https://api.skillsregistry.net/v1/skills/zipstack-unstract

## Description

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Zipstack/unstract)

## 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": "zipstack-unstract"
    }
  }
}
```

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

---
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