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

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.

Here are 5 real-time data tools that turn a basic chatbot into a genuinely useful agent, with working code you can try in 2 minutes.

Setup: One API Key, All Tools

Instead of juggling 5 different API keys, we'll use a single gateway that bundles everything:

# Get a free API key (200 credits, no signup)
curl -X POST https://agent-gateway-kappa.vercel.app/api/keys/create

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

Save your key — we'll use it for all 5 tools below.

1. IP Geolocation — Know Where Your Users Are

The most requested tool for any internet-facing agent. Given an IP address, get the physical location, ISP, timezone, and coordinates.

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"]
    }

# Try it
print(locate_ip("8.8.8.8"))
# {'city': 'Mountain View', 'country': 'US', 'lat': 37.386, ...}

Use cases: Personalize content by region, detect VPN usage, auto-set timezone, compliance (GDPR region detection).

2. Crypto Prices — Live Market Data

Your agent can answer "What's the price of ETH?" with real data instead of a knowledge cutoff disclaimer.

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}%"
    }

print(get_crypto_price("BTC"))
# {'symbol': 'BTC', 'price': '$94,231.00', 'change_24h': '2.3%'}

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

3. DNS Lookup — Investigate Any Domain

When your agent needs to verify a domain, check DNS configuration, 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()

print(dns_lookup("github.com"))
# {'domain': 'github.com', 'records': [{'type': 'A', 'value': '140.82.121.4'}]}

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

4. Web Scraping — Read Any Webpage

Let your agent read and extract content from any URL. No headless browser setup needed.

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 chars

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

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

5. Screenshots — See Any Website

Sometimes text isn't enough. Your agent can take a screenshot of any URL and actually see what a page looks like.

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}
    )
    # Returns PNG image
    with open("screenshot.png", "wb") as f:
        f.write(resp.content)
    return "screenshot.png"

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

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

Bonus: Use as an MCP Server

If you're using Claude, Cursor, or Windsurf, you can add all 13 tools at once via MCP:

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

Then your AI assistant can call geo_lookup, crypto_price, dns_lookup, scrape_url, take_screenshot, and 8 more tools natively.

MCP server: github.com/OzorOwn/frostbyte-mcp

Putting It Together: A Research Agent

Here's a minimal agent that combines all 5 tools:

def research_agent(query):
    """Simple research agent that uses real-time data tools."""

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

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

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

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

    # Default: scrape and summarize
    return scrape_url(query.split()[-1])

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

Get Started

1. Get a free API key: curl -X POST https://agent-gateway-kappa.vercel.app/api/keys/create
2. Browse all 40+ tools: API Catalog
3. Install the MCP server: frostbyte-mcp
4. Use the SDK: JavaScript + Python

200 free credits. No signup. No credit card.

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