# ToolFi

> Use this tool when you need to streamline AI agent workflows with automated access to a wide range of data tools, solving problems such as data discovery, security, and cost optimization. ToolFi provides a seamless interface for agents to discover, select, and pay for tools via pay-per-call USDC payments, with inputs including API requests and outputs including real-time data and analytics. Ideal for use cases requiring efficient and secure data tool integration, such as DeFi yield optimization and crypto price tracking.

Canonical page: https://skillsregistry.net/skills/tsubaki414-toolfi  
JSON: https://api.skillsregistry.net/v1/skills/tsubaki414-toolfi

## Description

Provides an API marketplace built for AI agent workflows where agents autonomously discover, select, and pay for data tools. Includes crypto price oracles, rug pull scanning, bridge routing, DeFi yield finding, and gas tracking, all accessible via pay-per-call USDC payments on Base. Combines a Solidity smart contract registry with an HTTP API and a Python-based local server.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tsubaki414-toolfi)
- **Repository:** <https://github.com/tsubaki414/toolfi/tree/HEAD/mcp-server>

## 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": "tsubaki414-toolfi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tsubaki414-toolfi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tsubaki414-toolfi/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
