# real-time-market-data

> Use this tool when you need to discover and access real-time market data for crypto, FX, and metals instruments. It solves problems related to market research and integration by providing search functionality, pricing inspection, and documentation for seamless API integration. The tool accepts search queries as input and outputs relevant market data, documentation, and API access information, making it ideal for use cases requiring up-to-date market information and integration with Blocksize's x402-protected API.

Canonical page: https://skillsregistry.net/skills/blocksize-agentic-payments  
JSON: https://api.skillsregistry.net/v1/skills/blocksize-agentic-payments

## Description

Real-time market data discovery for Blocksize. Search supported crypto, FX, and metals instruments, inspect pricing, and fetch integration docs before accessing live x402-paid HTTP market data.

Public tools are read-only and free. Live data is delivered through Blocksize’s x402-protected API with USDC settlement on Solana or Base.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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:** [Smithery](https://smithery.ai/server/blocksize/agentic-payments)

## 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": "blocksize-agentic-payments"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/blocksize-agentic-payments` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/blocksize-agentic-payments/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