apex-pulse

Paid x402 endpoint: $0.007 USDC per call on Base. Returns APEX service heartbeat — service status, BTC regime, Fear & Greed and BTC price in one cheap call.

What It Does

APEX service heartbeat — service status, BTC regime, Fear & Greed and BTC price in one cheap call. Computed by APEX Runner from live market data, not from backtests.

When to Use

• To verify APEX is live before relying on its signals
• Inside health-check workflows
• To confirm signal freshness before trading

How to Use

The agent makes an x402-authenticated GET request to:

text

https://apexrunner.ai/signals/apex-pulse

The x402 client handles payment automatically. No API key, no account, no subscription — just an EVM wallet with USDC on Base mainnet (no ETH needed).

python

# pip install "x402[evm,requests]"
import os

import requests
from eth_account import Account
from x402 import max_amount, x402ClientSync
from x402.http.clients import wrapRequestsWithPayment
from x402.mechanisms.evm.exact import register_exact_evm_client
from x402.mechanisms.evm.signers import EthAccountSigner

client = x402ClientSync()
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))
client.register_policy(max_amount(10000))  # never sign more than the list price ($0.01 USDC)

session = wrapRequestsWithPayment(requests.Session(), client)
response = session.get("https://apexrunner.ai/signals/apex-pulse")
print(response.json())

Example Response

json

{
  "status": "LIVE",
  "regime": "RANGING",
  "market": "OPEN",
  "fg": 42,
  "fg_label": "Fear",
  "apex_trading": true,
  "active_pairs": 11,
  "timestamp": "2026-06-23T14:00:00Z",
  "valid_for_seconds": 60
}

Pricing

$0.01/call — standard price

Every caller is charged $0.007/call until 2027-01-01 under the early-adopter discount (30% off the standard price). No tier, no wallet history, no enrolment — that is simply the price.

Related Signals

• market-tick
• grid-health
• portfolio-heat

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APEX Runner — autonomous AI crypto trading signals. apexrunner.ai