# Interline

> Interline — choppaaahh-interline-routes. Use this tool when you need to facilitate seamless payments across different blockchain networks for AI agents, solving interoperability issues and enabling efficient transactions. Interline discovers and utilizes various payment rails, including x402 on Base/EVM, Solana, and MPP, to pay for resources using the caller's own wallet key. It provides a neutral and non-custodial payment routing solution, offering tools for payment rail discovery, payment processing, and payment history tracking.

Canonical page: https://skillsregistry.net/skills/choppaaahh-interline-routes  
JSON: https://api.skillsregistry.net/v1/skills/choppaaahh-interline-routes

## Description

A neutral, non-custodial payment router for AI agents: it discovers which payment rails a paid endpoint accepts (x402 on Base/EVM, Solana, MPP), then pays across them using the caller's own wallet key. Three tools — discover_payment_rails, pay_for_resource, payment_history.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mt3wjn33o4)
- **Repository:** <https://github.com/Choppaaahh/interline-routes>

## 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": "choppaaahh-interline-routes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/choppaaahh-interline-routes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/choppaaahh-interline-routes/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