# NanoCrawl

> Use this tool when you need to enable AI agents to autonomously browse and pay for web content, solving problems of accessing pay-gated information and managing micro-transactions. NanoCrawl takes USDC cryptocurrency as input and provides payment receipts and browsed content as output, utilizing the x402 payment protocol and Circle Gateway for secure transactions. It is ideal for use cases requiring seamless and efficient payment processing for web browsing, allowing AI agents to operate within designated budget constraints.

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

## Description

NanoCrawl is an MCP server that enables AI agents to autonomously browse and pay for web content using USDC cryptocurrency via the x402 payment protocol. It provides tools for browsing pay-gated content, checking prices before paying, managing session budgets, and retrieving payment receipts. Payments are settled via Circle Gateway, with proactive and reactive payment flows supporting inline crypto micro-transactions for web browsing.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nanocrawl)
- **Repository:** <https://github.com/nanocrawl-xyz/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": "nanocrawl"
    }
  }
}
```

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

---
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