# Gatefare

> Use this tool when you need to connect AI agents to a marketplace of monetized APIs, enabling secure and reliable discovery, purchase, and invocation of third-party API endpoints. Gatefare solves problems related to API access and payment, providing a seamless interface for AI agents to interact with various APIs using USDC stablecoin payments. It is ideal for use cases requiring robust and reliable API integration, with inputs including API requests and USDC payments, and outputs including API responses and payment confirmations.

Canonical page: https://skillsregistry.net/skills/gatefare  
JSON: https://api.skillsregistry.net/v1/skills/gatefare

## Description

Gatefare is an MCP server that connects AI agents to the Gatefare marketplace of monetized APIs, enabling discovery, purchase, and invocation of third-party API endpoints using USDC stablecoin payments on the Base blockchain via the x402 standard. It provides 138 unit tests and 10 end-to-end tests for production reliability. Available via npm as @gatefare/mcp.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **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/gatefare)
- **Repository:** <https://github.com/gatefareio/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": "gatefare"
    }
  }
}
```

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