Epstein File Explorer

Get Stats

Get overview statistics for the Epstein document collection and knowledge graph. Returns counts of files, pages, entities, relationships, collections, extraction progress, search availability, and last-updated timestamp. Call this first to understand the scope of the dataset.

Search Entities

Search entities by name, type, or sub-label. Args: query: Search term to match against entity names and aliases (case-insensitive substring match) entity_type: Filter by entity type (Person, Organization, Location, Property, Aircraft, LegalCase, etc.) sub_label: Filter by sub-label (Victim, Defendant, Financier, GovernmentAgency, etc.) limit: Maximum results to return (default 25, max 100) offset: Number of results to skip for pagination (default 0)

Get Entity

Get full details for a specific entity including connections, documents, and evidence. Args: name: The canonical name of the entity (e.g., "Jeffrey Epstein", "Virginia Giuffre") Returns entity details with all aliases, sub-labels, top connections (with relationship types), and documents where the entity appears.

Search Relationships

Search relationships between entities. Args: relationship_type: Filter by relationship type (e.g., FLEW_ON, EMPLOYED_BY, PAID, DEFENDANT_IN) domain: Filter by relationship domain (financial, legal, social, abuse, power, event, employment, property, communication, coverup, document) entity_name: Filter to relationships involving this entity (source or target) limit: Maximum results (default 25, max 100) offset: Number of results to skip for pagination

Get Document Entities

Get all entities mentioned in a specific document. Args: file_id: The document file ID (get IDs from search_documents) Returns the document info and a list of entities mentioned in it with their types and mention counts.

Search Documents

Search documents in the collection. Args: query: Search term to match against filenames (case-insensitive substring) collection: Filter by collection name (e.g., "bondi-phase-1", "data-set-06", "fbi-vault") file_type: Filter by file type (pdf, mp4, wav, etc.) limit: Maximum results (default 25, max 100) offset: Number of results to skip for pagination (default 0) Returns dict with 'items' list, 'total' count, 'offset', 'limit', and 'has_more' fla

Get Entity Network

Get the relationship network around an entity up to a specified depth. Args: name: The canonical name of the center entity depth: How many hops to traverse (1 = direct connections, 2 = connections of connections). Max 2. Returns a network with nodes (entities) and edges (relationships) suitable for understanding the entity's position in the knowledge graph.

Read Document Text

Read the extracted text content of a document. Args: file_id: The document file ID max_chars: Maximum characters to return (default 5000, max 50000) char_start: Start reading from this character offset (default 0). Useful for deep-linking to specific evidence. char_end: Stop reading at this character offset (default 0 = use max_chars from char_start). Returns the document text content (if text extraction was performed).

Search Text

Full-text search across all extracted document content. Searches the text content of all documents for a keyword or phrase. Uses FTS5 full-text index when available, falling back to disk scan. Args: query: Text to search for (case-insensitive). Can be a name, phrase, or keyword. collection: Optionally restrict to a specific collection (e.g., "bondi-phase-1", "data-set-06") limit: Maximum documents to return (default 10, max 50) Returns documents contain

Get Entity Evidence

Get all evidence (mentions and relationships) for an entity, with verification scores and deep-links. Args: name: The canonical name of the entity (e.g., "Jeffrey Epstein", "Virginia Giuffre") file_id: Optionally filter to evidence from a specific document (file ID) limit: Maximum results per category (default 30, max 100) offset: Number of results to skip per category for pagination (default 0) Returns entity mentions and relationships with deep-links t

Get Relationship Evidence

Get all evidence supporting a relationship between two entities. Args: source: Source entity name target: Target entity name relationship_type: Optionally filter by relationship type (e.g., FLEW_ON, ABUSED_BY) limit: Maximum results (default 20, max 50) offset: Number of results to skip for pagination (default 0) Returns dict with 'items' list, 'total' count, 'offset', 'limit', and 'has_more' flag. Use offset += limit to fetch the next page w

Get Verification Stats

Get quality and verification statistics for the knowledge graph. Returns verification status distributions, position match rates, confidence distributions, and per-collection/domain quality metrics. Useful for understanding data quality.

Get Collections

Get summary statistics for each document collection. Returns per-collection counts of files, total bytes, total pages, and file types. Useful for understanding the scope and composition of each data source.

Get Entity Facets

Get entity type distribution and sub-label facets for filtering. Returns counts of entities by type (Person, Organization, etc.) and counts by sub-label (Victim, Defendant, etc.). Useful for understanding entity composition and building search filters.

Get Entity Connections

Get simplified list of connected entities for a given entity. Args: name: The canonical name of the entity limit: Maximum connections to return (default 50, max 200) Returns a flat list of connected entities with relationship type, domain, confidence, and optional deep-links. Simpler than get_entity for quick lookups.

Search Relationship Text

Full-text search across relationship evidence text. Searches relationship descriptions, evidence quotes, and context for a keyword or phrase. Uses FTS5 index (rel_search table) when available. Args: query: Text to search for (min 2 chars). Can be a name, phrase, or keyword. domain: Filter by relationship domain (financial, legal, social, abuse, etc.) limit: Maximum results (default 20, max 50) Returns matching relationships with source/target entities,

Aggregate Query

Run aggregate analytics queries over the knowledge graph. Args: metric: The analytics query to run. One of: - top_entities: entities ranked by relationship count - relationship_distribution: count of relationships by type - entity_type_distribution: count of entities by type - collection_coverage: entities appearing across the most document collections - top_connected: entities with highest degree centrality (most distinct

Find Path

Find connection paths between two entities in the knowledge graph. Uses bidirectional breadth-first search to efficiently find how two entities are connected through the relationship network. Args: source: Source entity name (e.g., "Leslie Wexner") target: Target entity name (e.g., "Virginia Giuffre") max_depth: Maximum hops to search (default 4, max 6) Returns up to 5 shortest paths between the entities, each with relationship hops showing entity n

Compare Entities

Compare two entities side-by-side: shared connections, shared documents, and network overlap. Useful for investigative analysis — find common associates, co-occurrences in documents, and the degree of overlap between two entities' networks. Args: entity_a: First entity name (e.g., "Ghislaine Maxwell") entity_b: Second entity name (e.g., "Jean-Luc Brunel") Returns comparison data including shared connections (with relationship types for each entity), shared