5 Real-Time Data Tools Every AI Agent Needs (With Code Examples)

Source: Dev.to

Introduction

AI agents are only as useful as the data they can access. Most agents are stuck in a text‑only world — they can reason, but they can’t see what’s happening on the internet right now. The following five real‑time data tools turn a basic chatbot into a genuinely useful agent. All examples use a single gateway that bundles the APIs.

Get a Free API Key

curl -X POST https://agent-gateway-kappa.vercel.app/api/keys/create

Response

{ "key": "gw_abc123...", "credits": 200 }

Save the returned key; you’ll use it for all tools below.

1. IP Geolocation

Purpose: Retrieve physical location, ISP, timezone, and coordinates for an IP address.

import requests

API_KEY = "gw_your_key_here"
BASE = "https://agent-gateway-kappa.vercel.app"

def locate_ip(ip_address):
    resp = requests.get(
        f"{BASE}/v1/agent-geo/geo/{ip_address}",
        headers={"Authorization": f"Bearer {API_KEY}"}
    )
    data = resp.json()
    return {
        "city": data["city"],
        "country": data["country"],
        "lat": data["lat"],
        "lon": data["lon"],
        "timezone": data["timezone"],
        "isp": data["isp"]
    }

# Example
print(locate_ip("8.8.8.8"))

Use cases: Personalize content by region, detect VPN usage, auto‑set timezone, GDPR‑compliant region detection.

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2. Crypto Price Feed

Purpose: Get real‑time price information for cryptocurrencies.

def get_crypto_price(symbol):
    resp = requests.get(
        f"{BASE}/v1/crypto-feeds/api/prices",
        headers={"Authorization": f"Bearer {API_KEY}"},
        params={"symbols": symbol.upper()}
    )
    data = resp.json()
    token = data["prices"][0]
    return {
        "symbol": token["symbol"],
        "price": f"${token['price']:,.2f}",
        "change_24h": f"{token['change24h']:.1f}%"
    }

# Example
print(get_crypto_price("BTC"))

Use cases: Portfolio tracking, price alerts, DeFi analysis, trading bots, market research.

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3. DNS Lookup

Purpose: Verify a domain, check DNS records, or investigate infrastructure.

def dns_lookup(domain, record_type="A"):
    resp = requests.get(
        f"{BASE}/v1/agent-dns/api/resolve/{domain}",
        headers={"Authorization": f"Bearer {API_KEY}"},
        params={"type": record_type}
    )
    return resp.json()

# Example
print(dns_lookup("github.com"))

Use cases: Domain verification, email deliverability checks, infrastructure mapping, security audits.

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4. Web Scraping

Purpose: Extract readable content from any URL without a headless browser.

def scrape_url(url):
    resp = requests.post(
        f"{BASE}/v1/agent-scraper/api/scrape",
        headers={
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json"
        },
        json={"url": url, "format": "markdown"}
    )
    data = resp.json()
    return data.get("content", "")[:500]  # First 500 characters

# Example
print(scrape_url("https://news.ycombinator.com"))

Use cases: Research agents, content summarization, competitive analysis, monitoring page changes.

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5. Screenshot Capture

Purpose: Take a screenshot of any web page so the agent can “see” the UI.

def screenshot(url, width=1280):
    resp = requests.post(
        f"{BASE}/v1/agent-screenshot/api/screenshot",
        headers={
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json"
        },
        json={"url": url, "width": width, "fullPage": False}
    )
    # Save PNG image
    with open("screenshot.png", "wb") as f:
        f.write(resp.content)
    return "screenshot.png"

# Example
screenshot("https://github.com")

Use cases: Visual regression testing, UI change monitoring, generating previews, verifying deployments.

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MCP Integration (Optional)

If you’re using Claude, Cursor, or Windsurf, you can expose all 13 tools (including the five above) via an MCP server.

{
  "mcpServers": {
    "frostbyte": {
      "command": "node",
      "args": ["/path/to/frostbyte-mcp/index.js"],
      "env": {
        "FROSTBYTE_API_KEY": "gw_your_key_here"
      }
    }
  }
}

MCP server repository:

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Minimal Research Agent Example

def research_agent(query):
    """Simple research agent that uses real‑time data tools."""
    q = query.lower()

    if "price" in q and any(sym in query.upper() for sym in ["BTC", "ETH", "SOL"]):
        symbol = next(sym for sym in ["BTC", "ETH", "SOL"] if sym in query.upper())
        return get_crypto_price(symbol)

    if "where is" in q:
        ip = query.split()[-1]
        return locate_ip(ip)

    if "dns" in q or "lookup" in q:
        domain = query.split()[-1]
        return dns_lookup(domain)

    if "screenshot" in q:
        url = query.split()[-1]
        return screenshot(url)

    # Default: scrape the URL and return a short excerpt
    return scrape_url(query.split()[-1])

# Example calls
print(research_agent("What's the price of ETH?"))
print(research_agent("Where is 1.1.1.1?"))
print(research_agent("DNS lookup example.com"))
print(research_agent("Screenshot https://github.com"))

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Additional Resources

• API Catalog (40+ tools):
• MCP Server Installation:
• SDKs: JavaScript & Python (available in the repository)

200 free credits are provided with the API key—no signup, no credit card required.

What real‑time data tools does your AI agent use? Drop a comment below.