# DataFood

> Use this tool when you need to streamline data aggregation and analysis across multiple sources, including crypto, DeFi, and finance. DataFood solves problems of data fragmentation and billing complexity by providing a single endpoint with consolidated billing and four querying tools. It is ideal for use cases requiring real-time data insights, portfolio analysis, and security monitoring, with inputs from 16 data sources and outputs via a hosted Streamable-HTTP endpoint.

Canonical page: https://skillsregistry.net/skills/atmflow55-datafood  
JSON: https://api.skillsregistry.net/v1/skills/atmflow55-datafood

## Description

DataFood aggregates 16 data sources spanning crypto, DeFi, weather, news, finance, and web3 security into a single MCP endpoint with consolidated billing. Provides 4 tools for querying, bundling, portfolio analysis, and watch sessions. Operates as a hosted Streamable-HTTP endpoint on the Tough Love Security infrastructure.

## 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:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/atmflow55-datafood)
- **Repository:** <https://github.com/atmflow55/datafood-mcp>

## 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": "atmflow55-datafood"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atmflow55-datafood` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atmflow55-datafood/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