Methodology & Sources

Vigi-Sky combines scientific astronomy, API Anthropic analysis (Anthropic) and the Hatch UDB database (18,116 worldwide UFO cases). This page documents every data source, the AI analysis methodology, and the assumed limits of the approach. Full transparency.

1. Databases and external sources

Hatch UDB

18,116 historical worldwide UFO/UAP cases, compiled by researcher Larry Hatch over 30+ years. Covers 1900-2002, including military, civilian, multi-witness and physical-trace cases. Used for pattern cross-referencing by our AI.
larryhatch.net ↗

NASA APOD

Astronomy Picture of the Day — astronomy image curated daily by professional astronomers since 1995. Our site shows the daily image with API Anthropic contextual analysis.
apod.nasa.gov ↗

NASA DONKI

Database Of Notifications, Knowledge, Information — coronal mass ejections (CMEs), geomagnetic storms, solar flares. Real-time updates.
DONKI ↗

NASA NEO API

Near-Earth Object API — near-Earth asteroids, closest-approach distance, velocity, potentially hazardous status (PHA). JPL/Caltech.
api.nasa.gov ↗

NOAA SWPC

Space Weather Prediction Center — planetary Kp index (geomagnetic activity), 3-day aurora forecasts, storm alerts.
swpc.noaa.gov ↗

Where The ISS At?

Live ISS position — latitude, longitude, altitude, velocity. Updated every 5 seconds.
wheretheiss.at ↗

2. API Anthropic

Vigi-Sky uses l'API Anthropic via the official API for four distinct tasks:

Submitted UFO observation analysis — cross-references the description (shape, color, motion, location, time) with Hatch UDB and proposes plausible natural hypotheses (aircraft, Venus, Starlink, weather balloon) before flagging the unexplained elements.
PDF report generation — contextualized synthesis with pattern analysis, historical comparisons, and graphical rendering.
Wiki Intelligence (PromptForge) — evolving contextual base that enriches each prompt with the site's accumulated knowledge.
VigiChat — conversational assistant to explain an astronomical phenomenon or a famous UFO case.

Important — AI accuracy: AI analyses are cross-checking aids, not verdicts. The site no longer presents a global accuracy score: each result must be read with its sources, limits and context.

No automatic dismissal ("weather balloon", "Thai lantern") when the data does not warrant it.
No complacency either: natural hypotheses are systematically evaluated first.
Source hierarchy: multi-witness > radar trace > photo/video > single witness.
Citations: every referenced historical case links back to its primary source (Hatch, GEIPAN, US Navy ATFLIR, etc.).

4. Assumed limits

Limit 1 — AI does not decide

The AI API proposes analyses, never verdicts. The "unidentified" box remains legitimate as long as it is argued.

Limit 2 — the database is historically biased

Hatch UDB over-represents Anglo-Saxon countries (USA, UK, Australia) and under-represents Asia, Africa, Latin America. A Japanese sighting has fewer comparable "neighbors" than a Texan one.

Limit 3 — the figures evolve

The 12,840+ UFO observations sum user submissions and the Hatch historical archive. The number is updated at each deployment, not in real time.

Limit 4 — models evolve

AI models evolve. An analysis in May 2026 is not strictly reproducible in May 2027: we archive signed analyses (model + date) for traceability.

5. Privacy and data

Vigi-Sky is free, no mandatory signup, no advertising. No data resale. Observation submissions are stored with explicit consent. GPS coordinates are rounded to one degree for public hot-spots.

6. Open source and contributions

The Vigi-Sky code is partially open. The Wiki Intelligence (PromptForge) system is publicly documented. To propose a case correction, report a factual error, or contribute to the database: contact page.

7. Support

The API Anthropic API has a cost (~$0.50 per generated PDF report). Vigi-Sky is supported by Ko-fi ↗ to cover these costs. 100% of donations fund the API and hosting, never any commercial operation.