# agentic-finance-ai

> agentic-finance-ai — benudhar03-agentic-finance-ai. Use this tool when you need to analyze and understand personal financial documents, or require a conversational AI assistant for finance-related queries. It solves problems such as extracting relevant information from financial documents and providing informed responses to user questions. The tool accepts uploaded financial documents and natural language queries as inputs, and outputs answers and explanations through a chat interface.

Canonical page: https://skillsregistry.net/skills/benudhar03-agentic-finance-ai  
JSON: https://api.skillsregistry.net/v1/skills/benudhar03-agentic-finance-ai

## Description

Finance AI Service — a Spring Boot–based GenAI backend for a personal finance assistant, combining LLM chat, RAG-grounded document Q&A over uploaded financial documents (pgvector), and agentic routing to decide when retrieval is needed

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **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/benudhar03/agentic-finance-ai)

## 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": "benudhar03-agentic-finance-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benudhar03-agentic-finance-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benudhar03-agentic-finance-ai/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