The Problem
Manual cybersecurity news editorial costs full-time salaries. Single-source AI generators produce thin coverage. Multi-source pipelines on Scavio + LLM produce 20-30 articles/day with editorial angle at sub-$10/mo of API spend.
How Scavio Helps
- Multi-source coverage in one credit pool
- Similarity-filter dedup
- Editorial-angle LLM step
- Daily recap aggregation
- Sub-$10/mo API spend
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
Quick Start: Python Example
Here is a quick example searching Google for "site:thehackernews.com cybersecurity 2026":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for Indie publishers, niche vertical media founders, content teams running AI-augmented editorial
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your ai-native cybersecurity news publication solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.