What AI Agents Are Watching This Week: Katzilla's Top Endpoints (May 31, 2026)
Safety and security data dominated AI agent queries on Katzilla this week, with recall and vulnerability feeds accounting for the vast majority of all API calls. Here's a breakdown of what autonomous systems are paying attention to — and why it matters.
The Week in Agent Intelligence
As of May 31, 2026, Katzilla has processed thousands of API calls across its 300+ public data sources. This week's query patterns tell a clear story: AI agents are laser-focused on safety, security, and risk. Whether they're monitoring supply chains, flagging dangerous products, or watching for exploitable vulnerabilities, agents are leaning hard on real-time government data to keep humans informed and protected.
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🏆 Top Endpoints This Week
1. katzilla-health/fda-recalls — 1,294 calls
The undisputed champion this week. FDA recall data is being hammered by agents working in food safety monitoring, pharmacy automation, healthcare compliance, and consumer protection pipelines. With 1,294 calls, it's nearly double the next closest endpoint — a signal that recall-aware AI is becoming a standard feature of health-adjacent products.
2. katzilla-consumer/cpsc-recalls — 657 calls
Consumer Product Safety Commission recall data came in strong at second place. Agents pulling this endpoint are likely powering e-commerce safety layers, parental safety tools, and retail compliance bots that need to know when a product on a shelf — or in a cart — has been flagged.
3. katzilla-security/cisa-kev — 655 calls
The CISA Known Exploited Vulnerabilities catalog is nearly tied with CPSC recalls, which tells you everything about the state of AI-driven cybersecurity in 2026. Autonomous patch-prioritization agents, SOC copilots, and vulnerability triage systems are clearly treating KEV data as a must-poll feed.
4. Transport, Hazards & Beyond
Further down the list, katzilla-transport/nhtsa-recalls (64 calls), katzilla-hazards/usgs-water (55 calls), and katzilla-hazards/nasa-wildfires (55 calls) round out the safety cluster. Water and wildfire data suggest agents are active in environmental monitoring and emergency preparedness workflows — use cases that are growing fast.
5. Policy & Economics
katzilla-economic/boc-rates (26 calls), katzilla-government/congress-bills (24 calls), and katzilla-government/regulations-gov (22 calls) show a quieter but steady pulse of policy-aware agents tracking legislative and monetary signals.
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Build a Recall Monitor in Minutes
Want to build an agent that watches all three major recall feeds at once? Here's how simple it is with the Katzilla SDK:
from katzilla import KatzillaClient
client = KatzillaClient(api_key="your_api_key")
# Pull the top three safety feeds in parallel
fda = client.get("katzilla-health/fda-recalls", params={"limit": 10})
cpsc = client.get("katzilla-consumer/cpsc-recalls", params={"limit": 10})
cisa = client.get("katzilla-security/cisa-kev", params={"limit": 10})
for feed_name, feed in [("FDA", fda), ("CPSC", cpsc), ("CISA KEV", cisa)]:
print(f"\n--- {feed_name} Alerts ---")
for item in feed["results"]:
print(f" • {item['title']} ({item['date']})")One API key. Three government data sources. Zero scraping headaches.
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What This Tells Us
The dominance of recall and vulnerability data isn't a coincidence — it reflects a maturing AI ecosystem where agents are being trusted with real consequences. Safety-critical data is the new default, not an edge case. If you're building agents that touch products, software, or people, these endpoints should be in your stack.
Explore all 300+ endpoints at katzilla.dev and see what your agents have been missing.
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