Search Telegram messages with full-text search and 15+ filters. Supports filtering by channel, date, importance (high/medium/low), topic, media type, language, minimum views/forwards, and channel folder.

Get detailed message by ID with full enrichment: content, media, AI tags, entities, locations, social graph data.

Get media album for a message (grouped photos/videos for lightbox display).

Get entity relationship graph for a message - locations, persons, organizations, military units, AI tags. Flowsint-compatible visualization.

Get temporal context for a message - messages before/after, semantically similar, or from same event cluster.

AI-powered semantic search using 384-dim vector embeddings. Find messages by meaning, not just keywords.

Find messages similar to a given message using AI embeddings. Useful for tracking narratives.

Get popular AI-generated tags ranked by frequency. Tags include keywords, topics, entities, emotions, urgency.

Search messages by AI tags with AND/OR logic.

Search across ALL data sources: Telegram messages, events, RSS articles, and entities. Supports text and semantic modes.

List monitored Telegram channels. Filter by rule (archive_all, selective_archive), folder, verified status.

Get detailed channel information including metadata, affiliation, and timestamps.

Get channel statistics: message counts, spam rate, importance distribution, topic breakdown.

Build content network graph for a channel - semantic relationships, topic clusters, hub nodes.

Get complete social context: author, forwards, replies, comments, reactions, engagement metrics, virality.

Get channel-to-channel forward relationships with coordination detection.

Get platform-wide influence network - channels that forward to each other.

Get engagement metrics over time for a message (views, forwards, reactions with deltas).

Get comment thread from linked discussion group.

Get viral content leaderboard - most forwarded messages.

Get top influencer profiles with interaction metrics.

Search entities (people, orgs, equipment, military units). Sources: curated (1,425+) and OpenSanctions (10,000+).

Get entity profile with metadata, aliases, and linked content counts.

Get entity relationships from Wikidata SPARQL - corporate connections, political positions, associates.

Get messages that mention a specific entity.

List detected events (message clusters). Filter by tier: rumor, unconfirmed, confirmed, verified.

Get event statistics - counts by tier, type, and status.

Get event details with contributing channels, messages, and RSS sources.

Get chronological timeline combining RSS articles and Telegram messages for an event.

Get events linked to a specific message.

Get message volume over time. Supports hour/day/week/month/year granularity.

Get distribution of messages across topics.

Get language distribution of messages.

Get per-channel performance metrics with daily breakdowns.

Get daily message activity for calendar heatmap visualization.

Get entity mention analytics - most mentioned entities over time.

Get media archival statistics with deduplication metrics.

Get geolocated messages as GeoJSON. Supports server-side clustering and bounding box filtering.

Get event clusters with geographic locations by verification tier.

Get confirmed events only for map display.

Get density aggregation for heatmap visualization.

Location name autocomplete from 30,000+ UA/RU locations in GeoNames gazetteer.

Find nearest location to coordinates.

Get unified intelligence feed combining Telegram messages and RSS articles.

Cross-reference a Telegram message with RSS news articles. Returns validation status: confirms, contradicts, context, alternative.

Get RSS articles correlated with a message - grouped by same_event, related, alternative_viewpoints.

Browse media gallery with filters by channel, type, date, and importance.

Get platform overview: message counts, channels, entities, storage, spam rate, LLM metrics.

Get comprehensive platform stats: pipeline health, LLM performance, totals, service health. Cached 30s.

Get data quality metrics: translation coverage, embedding coverage, classification rate, media archive rate, geolocation coverage.

Get hourly processing metrics: total messages, spam count, classified, average latency.

Get storage breakdown by database tables and media types.

Get Redis queue status: queue length, consumers, pending messages, worker health.

Get enrichment task status (translation, entity_matching, embedding, event_detection, ai_tagging, etc.).

Get Redis cache statistics: memory usage, hit rates, connections.

Get LLM decision audit statistics: total decisions, verification rates, performance metrics.

Get spam statistics: total, pending review, false positives, true positives, 24h rate, by type.

Get channel inventory stats: total, active, verified, by affiliation/folder/rule/source.

Get entity catalog stats: total, with embeddings/coordinates, by type/source, top mentioned.

Get RSS feed stats: total, active, failing, by category/trust level, article counts.

Get LLM prompt statistics: total, active, usage count, avg latency, errors, by task.

Get list of viral posts being tracked for enhanced comment fetching.

Basic API health check.

Get hardware auto-detection: CPU cores, RAM, GPU, tier (laptop/server/gpu variants), LLM model config.

Get detailed system status including all service health.

Get platform KPIs overview.

Get LLM/Ollama performance metrics.

Get real-time pipeline status metrics.

Get per-service health metrics.

List configured LLM models (6 runtime-switchable models).

Check health of LLM models (Ollama availability).