Discovery layer for finding x402 endpoints at runtime

[rplryan]

Hey qntx team — love the drop-in OpenAI client approach. Wanted to flag something that solves the "which x402 endpoint do I point at?" problem your users face.

x402 Service Discovery API — an enriched catalog of 251+ x402-enabled services:

import requests
from openai import OpenAI

# Step 1: Find the best x402 LLM endpoint
services = requests.get(
    "https://x402-discovery-api.onrender.com/discover",
    params={"query": "llm", "max_price_usd": 0.05, "sort": "cheapest"}
).json()["services"]

best_endpoint = services[0]["url"]

# Step 2: Use it with your x402-openai client
client = OpenAI(base_url=best_endpoint, api_key="x402")
response = client.chat.completions.create(...)

What it provides:

• 251+ x402 LLM + data + compute services indexed
• Health status + latency scores per service
• ERC-8004 trust verification
• Routing by price, speed, or trust
• Auto-updates every 6 hours from x402.org/ecosystem

Also ships as an MCP server — so Claude/Cursor can discover x402-compatible OpenAI-compatible endpoints at agent runtime, then invoke your client.

Might be useful as a companion link in your README's "Getting Started" section — users need to find where to point the client before they can use it.

— rplryan