5 more public-data tools for AI agents: building permits, new FL/TX businesses, domain WHOIS and Wayback snapshots

Disclosure: I build these tools, and I used AI to help write them and this post.

Five more Panda Federation tools went public on the Apify Store today, and they're in the open-source MCP server as of v1.6.0 (32 tools across four focused servers). Each one reads an official or open source, charges per result, and returns JSON with a one-line agentSummary per row plus Excel/CSV.

Searches that find nothing aren't charged per result.

Try one from an AI assistant

Pick the focused server that fits the job instead of loading everything:

uvx --from panda-federation-tools panda-leads-tools         # permits, FL/TX new businesses (12 tools)
uvx --from panda-federation-tools panda-web-security-tools  # domain WHOIS/expiry (5 tools)
uvx --from panda-federation-tools panda-research-tools      # Wayback snapshots (7 tools)

Add it as a stdio MCP server with your APIFY_TOKEN (Claude, Cursor and VS Code setup is in the README). Then ask things like:

• "List roofing and solar permits issued in Austin and Chicago this week, biggest jobs first."
• "Give me new Florida LLCs in Miami from the last 3 days that look like home-services businesses."
• "Which of these 200 domains expire in the next 60 days, and where is their DNS hosted?"
• "Find the archived copy of this dead link closest to March 2019."

Every call is schema-checked before it runs and has a hard spending cap (run_max_charge_usd, default $0.50).

Or call the Actor directly

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("pandadad0214/bulk-domain-whois-expiry").call(
    run_input={"domains": ["apify.com", "wikipedia.org"], "only": "expiringSoon"}
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["agentSummary"])

A few honest limits: contractor names are only published by six of the eight permit cities, Texas data has no officer names, and the Internet Archive's CDX API can take a minute. Repo: pandadad0214/panda-federation-tools.