Text & Content Analysis

Context: entity (autopipe)  |  Window: 24h · 7d · 30d  |  Corpus: 1 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Entity
autopipe
Window
Last 7 days
Articles
1
From
2026-07-22 10:58:07+00
To
2026-07-22 10:58:07+00
Range
2026-07-16 16:46:14.990581+00 → 2026-07-23 16:46:14.990581+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 📊 🔍 🧲
autopipe PRODUCT 1 📊 🔍 🧲
google autopipes ORG 1 📊 🔍 🧲
israeli NORP 1 📊 🔍 🧲
yonatan GPE 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
jpost.com 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.6700 📊 🧲
Technology 0.2500 📊 🧲
Food and Beverage 0.0600 📊 🧲
How it feels

Sentiment

Label Articles Actions
🙂 Positive 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-07-22 10:58:07+00 Business jpost.com Israeli startup is using AI to shorten cloud architecture timeline Analyze ANNA AHRONHEIM 🙂 positive 0.5