A comprehensive, searchable database of publicly available information from the Epstein/Maxwell case. Interactive timeline, network graph of connections, full-text document search, and investigative tools for journalists and researchers.
Live Site: epstein.arialabs.ai
- Search through 100+ individuals connected to the case
- Filter by role: Defendant, Victim, Associate, Mentioned
- View detailed profiles with document mentions and flight log appearances
- Explore connections between individuals
- Browse court filings, depositions, flight logs, and email correspondence
- Filter by document type and date
- Search by keywords and related persons
- Links to original source documents where available
- Visual network graph of relationships
- Interactive zoom, pan, and filtering
- Color-coded by role
- Connection strength indicators
- Touch-friendly mobile interface
- Chronological view of key events (1990-2024)
- Filter by event type and search
- Source citations for all entries
- Related persons for each event
- Searchable database of private jet manifests
- Passenger cross-references
- Date and route information
- Framework: Next.js 16 (React 19)
- Styling: Tailwind CSS 4
- Testing: Vitest + Testing Library
- Deployment: Cloudflare Pages
- Type Safety: TypeScript
| Variable | Required | Description |
|---|---|---|
OPENROUTER_API_KEY |
Yes (for research features) | OpenRouter API key for Perplexity Sonar research. Get yours at openrouter.ai. |
The research utility uses Perplexity Sonar Deep Research via OpenRouter to surface new developments in the Epstein case.
# Deep research (sonar-deep-research, thorough)
OPENROUTER_API_KEY=sk-or-... pnpm research
# Fast search (sonar, quick live search)
OPENROUTER_API_KEY=sk-or-... pnpm research:fast
# Research a specific topic
OPENROUTER_API_KEY=sk-or-... pnpm research -- --topic "Maxwell appeal 2025"
# Add results to the human review queue
OPENROUTER_API_KEY=sk-or-... pnpm research:queueResults are written to public/research-updates.json and can optionally be fed into the existing review queue workflow for human review before applying.
# Install dependencies
npm install
# Run development server
npm run dev
# Run tests
npm run test
# Build for production
npm run buildAll data compiled from publicly available sources:
- DOJ Epstein Files (Dec 2025 - Feb 2026 releases)
- Court Documents - Unsealed filings from Giuffre v. Maxwell (Jan 2024)
- Wikipedia - "Epstein files" and "List of people named in the Epstein files"
- Business Insider - Epstein's black books (2004 & 1997)
- Flight Logs - Lolita Express manifests, unsealed in court proceedings
- Congressional Records - House Oversight Committee releases
- Verified News Sources - Major media outlets with primary source verification
Appearance in this database does NOT imply wrongdoing. Many individuals listed were:
- Social acquaintances or business contacts
- Mentioned in passing in documents
- Had no knowledge of illegal activities
- Have denied all allegations
This resource is for research and educational purposes only. All claims are linked to publicly available source documents.
This project prioritizes:
- Accuracy - All entries must link to verifiable sources
- Neutrality - Fact-driven, not speculative
- Completeness - Comprehensive coverage of public records
- Accessibility - Mobile-friendly, fast, searchable
Corrections and additions welcome via pull requests.
- All data is from public domain sources
- DMCA compliance process in place
- Respects privacy of non-public figures
- No hosting of restricted documents
See EPIC: Comprehensive Epstein Investigation Explorer v1.0 for planned features:
- Expanded document OCR and indexing
- API access for journalists
- Advanced search filters
- Data export (CSV/JSON)
- Community fact-checking
- Mobile app
Data: Public domain (from public records)
Code: MIT License
Maintained by Aria Labs
Part of the Aria Labs accountability dashboard suite