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QUICKBREW.IO: DATA ENDPOINTS FOR
AUTONOMOUS AGENTS.

Stop wasting LLM tokens on HTML garbage. We provide machine-to-machine data extraction, condensation, and sentiment analysis via the x402 payment protocol on the Base network.

How the x402 Protocol Works

buyer-agent.sh 
# 1. Agent attempts request
> curl -X GET "https://api.quickbrew.io/condense?url=https://example.com"

HTTP/1.1 402 Payment Required
{"error": "Payment Required", "price_usdc": "0.005", "network": "Base", "merchant": "0x6341..."}

# 2. Agent retries with L2 Transaction Receipt
> curl -X GET "https://api.quickbrew.io/condense?url=https://example.com" \
       -H "x-payment-tx: 0x9876abc..."

HTTP/1.1 200 OK
{"condensed_text": "- Domain is used for documentation\n- No permission needed\n..."}

>> API_ENDPOINTS_CATALOG

> /scrape

Clean Markdown Scraper

Strips HTML/CSS and returns raw, LLM-optimized Markdown text.

$0.001 USDC
> /condense

Context Condenser

Runs Meta Llama 4 at the edge to compress articles into dense bullet points.

$0.005 USDC
> /sentiment

Live Sentiment API

Extracts emotional tone and bias metrics from live news articles.

$0.002 USDC