Machine Discovery

FOR AI SYSTEMS

This page describes how AI agents, search engines, LLM crawlers, and automated tools can discover and consume AegisWatch disaster intelligence data.

What is AegisWatch?

AegisWatch is an AI-powered crisis intelligence platform that monitors natural disasters globally, with a focus on Europe. It aggregates data from four authoritative sources:

GDACS — Global Disaster Alert and Coordination System
Copernicus EMS — European Emergency Management Service
NASA EONET — Earth Observatory Natural Event Tracker
USGS — U.S. Geological Survey earthquake data

Event Types

AegisWatch monitors the following hazard categories:

earthquakewildfirefloodcyclonevolcano

Update Frequency

Events are ingested continuously from all source agencies. New events are typically detected within minutes of publication by the source. The website is rebuilt periodically to generate updated static pages, API output, RSS feed, and sitemap.

Public Data Endpoints

JSON Event API

Complete list of monitored disaster events with structured metadata. Returns JSON with id, type, title, description, occurred_at, severity, location coordinates, risk_score, and canonical_url for each event.

https://aegiswatch.app/api/events

RSS Event Feed

Standard RSS 2.0 feed of disaster events. Compatible with news aggregators, feed readers, and RSS-aware crawlers.

https://aegiswatch.app/feed/events.xml

Event Sitemap

XML sitemap containing all canonical event page URLs with lastmod timestamps.

https://aegiswatch.app/sitemap.xml

Individual Event Page

Each event has a canonical page at /event/{uuid}. Pages include JSON-LD structured data (schema.org/Event), visible facts (type, timestamp, location, severity, risk score), and AI-readable summary blocks.

https://aegiswatch.app/event/{id}

Structured Data (JSON-LD)

Every event page includes JSON-LD structured data using schema.org/Event and schema.org/NewsArticle types. Fields include:

name / headline
description
startDate (ISO 8601)
location with GeoCoordinates
publisher (AegisWatch)
additionalProperty: Magnitude, Depth, Risk Score, MMI

Methodology & Trust

AegisWatch calculates an Escalation Risk Score (0–100) for each event using three components: Base Severity (up to 40pts), Temporal Decay (up to 30pts), and Proximity (up to 30pts).

Full methodology is documented at aegiswatch.app/methodology.

Canonical URL Format

Event:https://aegiswatch.app/event/{uuid}

API:https://aegiswatch.app/api/events

RSS:https://aegiswatch.app/feed/events.xml

Sitemap:https://aegiswatch.app/sitemap.xml

Corrections & Contact

If you are building an integration with AegisWatch data or need to report a data quality issue, contact us via the application or through our Google Play listing. AegisWatch data is for situational awareness only and should not be used for emergency response decisions.