01
Request
Agent GETs a signal endpoint.
02
402 Challenge
Server replies with price + payment details.
03
Sign & Pay
Client signs a USDC authorization on Base.
04
200 + Signal
Request retries with proof; data returns.
Every guide below uses this same four-step cycle. The x402 client libraries handle steps 2–4 for you, so most of the work is deciding which signals to call and when.
Guide 01 · ~15 min
Add real-time crypto intelligence to a Claude agent
Give a Claude agent a tool that pulls live regime, fear/greed, and risk signals from APEX, and let the model decide when to call them. Full Python + Anthropic SDK example.
Guide 02 · ~5 min
Make your first paid signal call with x402
The protocol explained plainly, then a working paid call in Python and JavaScript. Fund a wallet, handle the 402 challenge, get data back.
Guide 03 · reference
Three proven agent workflows
DCA timing, risk management, and execution optimization — each with the exact signals to combine, the decision logic, and complete code.
Read the signals honestly
APEX's signals are derived from a live trading system, which is their real edge over backtested feeds — but they are inputs to your decisions, not guaranteed outcomes. Nothing here is investment advice, and the headline "grid win rate" describes cycle mechanics, not expected return. Size positions with the risk signals, not the marketing.