What AI Agents Are Watching This Week: Katzilla's Top Endpoints (April 28, 2026)

The Data Pulse: April 28, 2026

Every week, thousands of AI agents pass through Katzilla's unified API layer, pulling from 300+ free public data sources to power decisions, reports, and real-time monitoring pipelines. This week's query patterns paint a vivid picture: agents are heavily oriented around regulatory activity, consumer safety, and macroeconomic health.

Here's what the numbers are telling us.

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🏛️ Government & Regulatory Activity Is Dominating

The top spot this week goes to `katzilla-government/congress-bills` with 29 calls — the single most-queried endpoint across the platform. Close behind is `katzilla-government/sec-edgar` (20 calls) and `katzilla-government/federal-register` (16 calls). Agents are clearly scanning the legislative and regulatory landscape at scale, likely feeding compliance monitors, policy trackers, and investment research pipelines.

The Federal Register endpoint in particular suggests agents are watching for new rulemaking notices — a common trigger for downstream business and legal workflows.

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🏥 Consumer Safety Is a Clear Theme

`katzilla-health/fda-recalls` (27 calls) and `katzilla-consumer/cpsc-recalls` (20 calls) together represent a strong consumer safety cluster. These endpoints are favorites among agents built for supply chain monitoring, retail risk management, and public health alerting. If something gets pulled from shelves, agents built on Katzilla know about it fast.

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📈 Economic Signals Are Being Watched Closely

`katzilla-economic/fred-series` (24 calls) and `katzilla-economic/bea-gdp` (17 calls) round out the economic tier. With Q1 2026 GDP data freshly available from the BEA, it's no surprise agents are pulling these series for forecasting models and macroeconomic dashboards.

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⚠️ Hazard & Security Monitoring Rounds Out the Top 10

`katzilla-hazards/fema-nfip-claims` (22 calls), `katzilla-hazards/usgs-earthquakes` (17 calls), and `katzilla-security/cisa-kev` (21 calls) show that risk-aware agents are very much in the mix. The CISA Known Exploited Vulnerabilities endpoint is a staple for cybersecurity agents running continuous threat exposure assessments.

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Try It Yourself

Here's how you'd pull this week's top endpoints in a single agent loop using the Katzilla SDK:

from katzilla import KatzillaClient

client = KatzillaClient(api_key="your_api_key")

# Pull FDA recalls and active congress bills in parallel
recalls = client.get("katzilla-health/fda-recalls", params={"limit": 10})
bills = client.get("katzilla-government/congress-bills", params={"status": "active"})
kev = client.get("katzilla-security/cisa-kev", params={"date_added_after": "2026-04-21"})

for item in recalls["results"]:
    print(f"[RECALL] {item['product_description']} — {item['recall_date']}")

for bill in bills["results"]:
    print(f"[BILL] {bill['bill_number']}: {bill['title']}")

for vuln in kev["results"]:
    print(f"[KEV] {vuln['cve_id']} — {vuln['vulnerability_name']}")

All three endpoints, one unified client, zero scraping. That's Katzilla.

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What This Tells Us

This week's data confirms a maturing AI agent ecosystem: agents aren't just fetching weather or stock prices anymore. They're monitoring legislation, tracking food safety events, and watching for cyberattacks — autonomously, continuously, and at scale. Explore all 300+ endpoints at katzilla.dev.