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Fg Micro

该 Skill 通过 x402 鉴权的 GET 请求从 APEX Runner 获取轻量级恐惧与贪婪指数快照,返回数值、标签和时间戳,适合高频轮询及交易情绪门槛判断;调用需 EVM 私钥和 Base 主网 USDC,按次付费。

kynto2001-ctrl
kynto2001-ctrl
热度 15.99
最近更新 2026-06-25 06:44:40
分类:数据依赖:代码执行 / 第三方 API应用场景:财务 / 市场分析

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add fg-micro
Metadata
name
fg-micro
description
Lightweight Fear & Greed index snapshot for high-frequency polling
metadata
{"openclaw":{"requires":{"env":["EVM_PRIVATE_KEY"]},"primaryEnv":"EVM_PRIVATE_KEY","homepage":"https://apexrunner.ai/signals/fg-micro","emoji":"📊"}}

fg-micro

What It Does

Lightweight Fear & Greed index snapshot for high-frequency polling. This signal is computed in real time from APEX Runner's live autonomous trading system operating across Kraken, Coinbase Advanced Trade, and Hyperliquid — not from backtests or third-party aggregators.

When to Use

  • In fast loops where full F&G overhead is too costly
  • To gate trade decisions on market sentiment
  • Before calling more expensive intelligence signals

How to Use

The agent makes an x402-authenticated GET request to:

https://apexrunner.ai/signals/fg-micro

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

# Example using the x402-python client
from x402.client import x402_get

response = x402_get(
    url="https://apexrunner.ai/signals/fg-micro",
    private_key=os.environ["EVM_PRIVATE_KEY"]
)
print(response.json())

Example Response

{
  "v": 42,
  "l": "Fear",
  "t": 1750000000
}

Pricing

$0.01/call — standard price

Early adopters automatically receive 30% off ($0.01/call) until 2026-09-21. Discount tiers apply automatically based on wallet call history:

  • Early Adopter (0–9 calls): 30% off
  • Engaged (10–49 calls): 15% off
  • Loyal (50–199 calls): 15% permanent
  • VIP (200+ calls): 20% permanent

Check your tier: https://apexrunner.ai/signals/my-pricing

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