Resumen
Multi-source AI-native cybersecurity news pipeline. 6 cron activa per dia pull de 9 fuentes via SERP-scoped consultas plus Reddit. Similarity filtrar dedupes. LLM edits con editorial angle. Throttled publication. Diario recap at 11:30 PM.
Desencadenador
6× diario (6 AM, 10 AM, 12 PM, 3 PM, 6 PM, 9 PM)
Programación
6× diario
Pasos del flujo de trabajo
Cron activa per burst
6 evenly spread firings per dia.
LLM genera 6 fresh consultas per burst
Avoid topics covered earlier hoy.
Parallel SERP a traves de 9 fuentes
sitio: consultas to TheHackerNews, BleepingComputer, KrebsOnSecurity, etc.
Reddit endpoint for community-flagged stories
r/cybersecurity, r/netsec.
Similarity-filter dedup
Embed titles, caida duplicates above 0.85 cosine similarity.
LLM edit con editorial angle
Per elemento, 300-word articulo con enlaces internos.
Throttled publication cadence
5-minuto spacing entre published elementos.
Diario 11:30 PM recap
Agregar el day's published elementos.
Implementacion en Python
import os, requests
API_KEY = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': API_KEY}
SOURCES = ['site:thehackernews.com 2026', 'site:bleepingcomputer.com 2026', 'site:krebsonsecurity.com']
def pull_burst():
items = []
for q in SOURCES:
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': q, 'search_type': 'news'}).json()
items += r.get('news_results', [])
return itemsImplementacion en JavaScript
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
const SOURCES = ['site:thehackernews.com 2026', 'site:bleepingcomputer.com 2026'];
async function burst() {
const items = [];
for (const q of SOURCES) {
const r = await fetch('https://api.scavio.dev/api/v1/search', { method: 'POST', headers: H, body: JSON.stringify({ query: q, search_type: 'news' }) }).then(r => r.json());
items.push(...(r.news_results || []));
}
return items;
}Plataformas utilizadas
Búsqueda web con grafo de conocimiento, PAA y resúmenes de IA
Comunidad, publicaciones y comentarios en hilos de cualquier subreddit