# Nemo_IB

> Nemo_IB — jacobtdang-nemo-ib. Use this tool when you need to collect and record historical financial data from primary sources, solving problems of data inconsistency and incompleteness in financial analysis and reporting. It takes in company, market, macro, and alternative financial data as inputs and outputs a comprehensive record of what was known on each date. Ideal for use cases requiring accurate and reliable financial data tracking over time.

Canonical page: https://skillsregistry.net/skills/jacobtdang-nemo-ib  
JSON: https://api.skillsregistry.net/v1/skills/jacobtdang-nemo-ib

## Description

Five MCP servers that read company, market, macro and alternative financial data from primary sources, and scheduled jobs that record what was known on each date.

## Trust

- **Trust score (0–1):** 0.65
- **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/JacobTDang/Nemo_IB)

## 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": "jacobtdang-nemo-ib"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jacobtdang-nemo-ib` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jacobtdang-nemo-ib/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