# NFT Floor

> Use this tool when you need to retrieve real-time NFT market data, such as floor prices, trading volume, and holder counts, to inform decisions or analyze trends in the Ethereum and Base networks. It solves problems related to NFT market research, portfolio tracking, and rarity analysis, providing accurate and up-to-date information via the Reservoir API. With support for cross-chain queries and pay-per-use access via x402 micropayment protocol, it offers a flexible and cost-effective solution for AI agents.

Canonical page: https://skillsregistry.net/skills/br0ski777-nft-floor  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-nft-floor

## Description

Retrieves NFT collection floor prices, trading volume, holder counts, and rarity rankings via the Reservoir API for Ethereum and Base networks. Supports cross-chain queries covering ETH mainnet and Base. Access is gated via x402 micropayment protocol, enabling pay-per-use consumption by AI agents.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/br0ski777-nft-floor)
- **Repository:** <https://github.com/br0ski777/nft-floor-x402>

## 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": "br0ski777-nft-floor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-nft-floor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-nft-floor/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
