# DingDawg Finance

> Use this tool when you need to analyze financial transactions and ensure regulatory compliance with automated budget forecasting, expense categorization, and risk assessment. It solves problems related to financial governance, auditing, and reporting by providing traceable and defensible outputs. Ideal for integrating AI-powered financial analysis into existing workflows, particularly for organizations requiring SOX and GAAP compliance.

Canonical page: https://skillsregistry.net/skills/dingdawg-finance  
JSON: https://api.skillsregistry.net/v1/skills/dingdawg-finance

## Description

DingDawg Finance provides AI assistants with governed financial analysis capabilities including budget forecasting, expense categorization, risk assessment, and regulatory compliance checks for SOX and GAAP standards. Every financial transaction produces an immutable audit trail stored on IPFS, making outputs traceable and defensible. The server integrates with DingDawg's governed agent marketplace, enabling organizations to add AI-powered financial analysis to existing workflows with minimal configuration.

## 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:** finance
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dingdawg-finance)

## 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": "dingdawg-finance"
    }
  }
}
```

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