# Amalgix

> Use this tool when you need to automate workflows, integrate disparate systems, and retrieve structured business data. Amalgix solves problems related to data silos, manual workflow orchestration, and AI agent connectivity by providing a comprehensive set of MCP tools. It accepts various data inputs and outputs structured business data, ideal for use cases requiring seamless system integration and automated workflow management.

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

## Description

Amalgix is a cross-model evidence pipeline for analyzing financial filings and contracts. It lets AI agents extract and cross-check evidence from these documents, with x402 pay-per-call access.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/amalgix)
- **Repository:** <https://github.com/amalgix-io/amalgix>

## 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": "amalgix"
    }
  }
}
```

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