{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_gnod","slug":"gnod","name":"Gnod","type":"webapp","url":"https://www.gnod.com","page_url":"https://unfragile.ai/gnod","categories":["research-search"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_gnod__cap_0","uri":"capability://search.retrieval.graph.based.music.discovery.through.artist.relationship.mapping","name":"graph-based music discovery through artist relationship mapping","description":"Maps relationships between musicians, bands, and genres using an undocumented graph algorithm that visualizes artists as interconnected nodes. Users navigate this spatial graph by clicking related artists to discover increasingly obscure recommendations. The system appears to use collaborative filtering or content-based similarity to establish edges between artists, though the exact algorithm and data sources (likely Last.fm, MusicBrainz, or proprietary scraping) are not documented.","intents":["I want to discover new bands similar to artists I already like without getting obvious mainstream suggestions","I want to visually explore how different music genres and eras connect to each other","I want to break out of algorithmic filter bubbles by seeing unexpected artist relationships","I want to find obscure or niche artists related to my favorite mainstream bands"],"best_for":["casual music enthusiasts exploring mainstream and indie music","visual learners who prefer spatial navigation over ranked lists","users fatigued by Spotify/Apple Music algorithmic feeds seeking serendipitous discovery"],"limitations":["recommendation quality degrades significantly for non-mainstream or niche artists — returns obvious suggestions instead of genuinely obscure gems","limited coverage of classical music, experimental genres, and non-Western music traditions","no documented preference learning mechanism — recommendations appear stateless across sessions","graph layout and node positioning algorithm is undocumented, making results potentially inconsistent or non-deterministic","no ability to save or export discovered artist chains for later reference"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["artist name (text search or selection)","user navigation/clicking on graph nodes"],"output_types":["interactive SVG/canvas graph visualization","related artist recommendations as clickable nodes","artist metadata (name, genre tags, era)"],"categories":["search-retrieval","graph-visualization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_1","uri":"capability://search.retrieval.spatial.movie.relationship.visualization.and.discovery","name":"spatial movie relationship visualization and discovery","description":"Generates an interactive map of movies positioned by thematic, genre, and stylistic similarity, allowing users to click between related films to discover recommendations. The underlying algorithm likely uses content-based filtering (genre, director, cast, plot keywords) or collaborative filtering from IMDb/similar sources, though the exact approach is undocumented. Movies are rendered as navigable nodes in a 2D space where proximity indicates similarity.","intents":["I want to find movies similar to ones I've enjoyed without relying on algorithmic feeds","I want to explore how different film genres and directors relate to each other visually","I want to discover lesser-known films connected to mainstream movies I like","I want to understand thematic or stylistic connections between films across different eras"],"best_for":["film enthusiasts seeking visual exploration over ranked recommendation lists","casual viewers looking for unexpected movie suggestions","users interested in understanding film relationships and influences"],"limitations":["limited database depth in international cinema, art house films, and contemporary indie productions","recommendation quality depends heavily on initial movie selection — cold-start problem for obscure films","no documented filtering by release year, language, or content warnings","graph layout algorithm is undocumented, potentially producing inconsistent spatial positioning","no ability to filter recommendations by runtime, rating, or availability on streaming platforms"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["movie title (text search or selection)","user navigation/clicking on graph nodes"],"output_types":["interactive graph visualization of related movies","movie metadata (title, year, genre, director)","clickable nodes representing related films"],"categories":["search-retrieval","graph-visualization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_10","uri":"capability://tool.use.integration.free.tier.unlimited.access.with.optional.patreon.support","name":"free-tier unlimited access with optional patreon support","description":"Provides full access to all discovery features (Music-Map, Movie-Map, Literature-Map, Art discovery, Search comparison) at no cost, with no documented usage limits, quotas, or rate limiting. The service is monetized through optional Patreon donations rather than freemium tiers or premium features. No pricing page or upgrade path is documented, suggesting the free tier is the primary offering with Patreon as a voluntary support mechanism.","intents":["I want to use a discovery service without paying or creating a subscription","I want to support an independent creator without mandatory payment","I want to explore recommendations without worrying about usage limits or quotas","I want to use a service that respects my privacy without monetizing my data"],"best_for":["budget-conscious users seeking free discovery tools","users supporting independent creators through optional donations","casual explorers without need for premium features"],"limitations":["no documented premium features or upgrade path — unclear if Patreon tiers offer additional functionality","no documented usage limits, rate limiting, or quotas — sustainability model unclear","no documented SLA or uptime guarantees for free tier","no customer support or priority support for free users","monetization model relies on voluntary donations, creating potential sustainability risk"],"requires":["web browser with JavaScript enabled","internet connection"],"input_types":["user interaction (clicking, searching)"],"output_types":["recommendations and visualizations"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_2","uri":"capability://search.retrieval.literature.author.discovery.through.relationship.graphs","name":"literature author discovery through relationship graphs","description":"Maps authors and literary works as interconnected nodes based on genre, style, era, and thematic similarity. Users navigate this graph by clicking between related authors to discover new writers. The system likely uses content-based filtering (genre tags, publication era, literary movements) or collaborative filtering from Goodreads/similar sources, though implementation details are undocumented. The spatial layout positions authors by similarity, enabling visual exploration of literary traditions and influences.","intents":["I want to discover new authors similar to writers I already enjoy","I want to explore how different literary genres and movements connect historically","I want to find lesser-known authors related to mainstream writers","I want to understand literary influences and traditions visually"],"best_for":["casual readers exploring mainstream and contemporary fiction","visual learners interested in literary relationships","users seeking serendipitous author discovery outside algorithmic feeds"],"limitations":["limited database coverage of classical literature, poetry, and non-English works","recommendation quality degrades for niche genres, experimental literature, and non-Western literary traditions","no documented filtering by publication era, language, or literary movement","no ability to distinguish between fiction, non-fiction, poetry, or drama","graph layout algorithm is undocumented, potentially producing inconsistent author positioning"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["author name (text search or selection)","user navigation/clicking on graph nodes"],"output_types":["interactive graph visualization of related authors","author metadata (name, era, genre, literary movement)","clickable nodes representing similar authors"],"categories":["search-retrieval","graph-visualization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_3","uri":"capability://search.retrieval.visual.art.discovery.through.artist.and.style.relationship.mapping","name":"visual art discovery through artist and style relationship mapping","description":"Creates an interactive graph of visual artists, art movements, and styles positioned by aesthetic and historical similarity. Users click between related artists to discover new creators and movements. The system likely uses content-based filtering (art movement, era, style characteristics, medium) or collaborative filtering from museum databases, though the exact data sources and algorithm are undocumented. The spatial visualization positions artists by similarity, enabling exploration of art history and influences.","intents":["I want to discover visual artists similar to ones I already appreciate","I want to explore how different art movements and styles relate historically","I want to find lesser-known artists connected to mainstream or canonical artists","I want to understand art history and stylistic influences visually"],"best_for":["casual art enthusiasts exploring visual art discovery","visual learners interested in art history and movements","users seeking serendipitous artist discovery outside traditional museum curation"],"limitations":["limited database depth in contemporary art, non-Western art traditions, and emerging artists","recommendation quality depends on initial artist selection — poor coverage of niche or experimental art","no documented filtering by art movement, era, medium, or geographic origin","no ability to distinguish between painting, sculpture, photography, digital art, or other media","graph layout algorithm is undocumented, potentially producing inconsistent artist positioning"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["artist name (text search or selection)","user navigation/clicking on graph nodes"],"output_types":["interactive graph visualization of related artists","artist metadata (name, movement, era, style)","clickable nodes representing similar artists"],"categories":["search-retrieval","graph-visualization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_4","uri":"capability://search.retrieval.stateless.preference.based.recommendation.generation","name":"stateless preference-based recommendation generation","description":"Generates recommendations based on a single user input (artist, movie, author, or artist name) without maintaining session state, user profiles, or preference history. The system appears to use content-based similarity (genre, era, style) or collaborative filtering to identify related items, but does not learn from user interactions or store preferences across sessions. Each recommendation request is independent, with no feedback loop or personalization mechanism documented.","intents":["I want quick recommendations without creating an account or logging in","I want to explore recommendations for a single artist or movie without building a profile","I want privacy-preserving discovery without tracking or data collection","I want to compare recommendations across multiple starting points without preference persistence"],"best_for":["casual users seeking quick recommendations without account creation","privacy-conscious users avoiding algorithmic profiling","users exploring multiple unrelated interests in a single session"],"limitations":["no personalization or learning from user feedback — recommendations are identical for all users starting from the same item","cold-start problem for obscure items — system cannot leverage user history to improve recommendations","no ability to refine recommendations based on user feedback or preferences","recommendations may be generic or obvious for mainstream items due to lack of personalization","no saved recommendations or discovery history across sessions"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["single artist/movie/author name (text or selection)"],"output_types":["list or graph of related items","metadata for recommended items"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_5","uri":"capability://search.retrieval.multi.source.search.engine.result.aggregation.and.comparison","name":"multi-source search engine result aggregation and comparison","description":"Aggregates search results from multiple search engines (likely Google, Bing, DuckDuckGo, or others) and displays them side-by-side for comparison. Users can select which search engines to include and view results from each engine simultaneously. The system likely queries multiple search APIs in parallel and deduplicates results, though the exact search engines, ranking algorithm, and deduplication strategy are undocumented. No personalization or filtering of results is documented.","intents":["I want to compare search results across multiple search engines to find the most relevant information","I want to see how different search engines rank the same query differently","I want to avoid algorithmic bias by viewing results from multiple sources simultaneously","I want to verify search result quality and completeness across providers"],"best_for":["researchers and analysts comparing search engine behavior","users skeptical of single-engine algorithmic ranking","power users seeking comprehensive search coverage"],"limitations":["no documented filtering, sorting, or ranking of aggregated results","no personalization or learning from user clicks","unclear which search engines are included or how results are deduplicated","no ability to customize result display or filtering criteria","latency likely higher than single search engine due to parallel queries","no API documentation for programmatic access"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["search query (text)"],"output_types":["side-by-side search results from multiple engines","result metadata (title, URL, snippet)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_6","uri":"capability://tool.use.integration.zero.friction.discovery.interface.with.no.authentication.required","name":"zero-friction discovery interface with no authentication required","description":"Provides instant access to all discovery features (Music-Map, Movie-Map, Literature-Map, Art discovery, Search comparison) without requiring account creation, login, or email verification. The system operates entirely as a stateless web application where each session is independent and no user data is persisted. This architecture eliminates authentication overhead and privacy concerns but prevents personalization and preference learning.","intents":["I want to explore recommendations immediately without creating an account","I want to use a discovery tool without sharing personal data or email","I want to quickly test a discovery service before committing to an account","I want to maintain privacy while exploring cultural recommendations"],"best_for":["casual users seeking quick exploration without friction","privacy-conscious users avoiding data collection","users testing the service before potential account creation"],"limitations":["no ability to save or bookmark favorite discoveries","no preference learning or personalization across sessions","no recommendation history or saved searches","no social features (sharing, following, collaborating)","no ability to sync across devices"],"requires":["web browser with JavaScript enabled","internet connection"],"input_types":["user interaction (clicking, searching)"],"output_types":["recommendations and visualizations"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_7","uri":"capability://image.visual.interactive.graph.visualization.rendering.and.navigation","name":"interactive graph visualization rendering and navigation","description":"Renders interactive 2D graph visualizations of artist/movie/author relationships using likely SVG or Canvas, with clickable nodes that trigger new recommendation queries. The visualization engine positions nodes spatially based on similarity (proximity indicates relatedness), and users navigate by clicking nodes to explore related items. The exact layout algorithm (force-directed, hierarchical, or other) is undocumented, as is the rendering technology and performance optimization strategy.","intents":["I want to visually explore relationships between artists, movies, or authors","I want to navigate recommendations by clicking related items rather than scrolling lists","I want to understand how different items relate to each other spatially","I want to discover unexpected connections by exploring the graph visually"],"best_for":["visual learners who prefer spatial navigation over ranked lists","users exploring multiple related items in a single session","users seeking serendipitous discovery through visual browsing"],"limitations":["graph layout algorithm is undocumented, potentially producing inconsistent or non-deterministic positioning","no documented zoom, pan, or filtering controls for large graphs","performance on large graphs (100+ nodes) is undocumented","no ability to customize visualization (colors, node sizes, layout algorithm)","mobile responsiveness and touch interaction are undocumented","no export of graph data or visualization"],"requires":["web browser with JavaScript enabled","modern browser supporting SVG or Canvas rendering","internet connection"],"input_types":["user clicks on graph nodes","user navigation (zoom, pan if supported)"],"output_types":["interactive SVG/Canvas graph visualization","clickable nodes representing items","spatial positioning indicating similarity"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_8","uri":"capability://search.retrieval.cross.domain.cultural.content.discovery.across.music.film.literature.and.visual.art","name":"cross-domain cultural content discovery across music, film, literature, and visual art","description":"Provides discovery interfaces for four distinct cultural domains (Music, Movies, Literature, Visual Art) using similar graph-based recommendation algorithms. Each domain has its own database, recommendation engine, and visualization interface, but the underlying architecture and data sources are undocumented. Users can explore recommendations within a single domain but cannot cross-domain discovery (e.g., finding music similar to a movie's theme).","intents":["I want a single platform to explore recommendations across multiple cultural domains","I want to discover new music, movies, books, and art without switching between different services","I want to explore cultural content across domains using a consistent interface","I want to find cultural recommendations without creating separate accounts for each domain"],"best_for":["cultural enthusiasts interested in multiple domains","users seeking a unified discovery platform across media types","casual explorers wanting to browse multiple domains in a single session"],"limitations":["no cross-domain discovery (e.g., finding music related to a movie's theme)","database quality varies significantly by domain — music and movies are stronger than literature and art","no documented integration between domains or thematic connections across media types","limited coverage of niche content in all domains","no ability to create multi-domain playlists or collections"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["artist/movie/author/artist name (text or selection)","user navigation within domain"],"output_types":["recommendations within selected domain","graph visualizations for each domain","metadata for recommended items"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gnod__cap_9","uri":"capability://planning.reasoning.serendipity.optimized.recommendation.strategy.with.filter.bubble.breaking","name":"serendipity-optimized recommendation strategy with filter bubble breaking","description":"Deliberately surfaces unexpected recommendations and connections between items to break algorithmic filter bubbles and encourage serendipitous discovery. The system appears to prioritize showing related items that are not obvious or mainstream, using graph navigation to reveal increasingly obscure recommendations as users explore deeper. The exact algorithm for balancing relevance vs. unexpectedness is undocumented, but the visual graph interface inherently supports exploration of non-obvious connections.","intents":["I want to discover unexpected recommendations that break me out of my usual preferences","I want to find obscure artists, movies, or books connected to mainstream ones I like","I want to explore surprising connections between items I wouldn't normally associate","I want to avoid algorithmic filter bubbles that only recommend similar items"],"best_for":["users fatigued by algorithmic feeds that only recommend similar items","explorers seeking serendipitous discovery and unexpected connections","users wanting to broaden their cultural horizons beyond their usual preferences"],"limitations":["serendipity comes at the cost of relevance — recommendations may be tangentially related rather than directly similar","no documented mechanism to adjust the serendipity/relevance trade-off","for niche or obscure starting items, the system may return obvious suggestions instead of genuinely obscure gems","no ability to filter out recommendations that are too obscure or irrelevant","effectiveness depends heavily on the quality and depth of the underlying database"],"requires":["web browser with JavaScript enabled","internet connection","no account or authentication required"],"input_types":["starting item (artist, movie, author, artist name)","user navigation through graph"],"output_types":["increasingly obscure recommendations as user explores deeper","unexpected connections between items","graph visualization showing relationship paths"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["web browser with JavaScript enabled","internet connection","no account or authentication required","modern browser supporting SVG or Canvas rendering"],"failure_modes":["recommendation quality degrades significantly for non-mainstream or niche artists — returns obvious suggestions instead of genuinely obscure gems","limited coverage of classical music, experimental genres, and non-Western music traditions","no documented preference learning mechanism — recommendations appear stateless across sessions","graph layout and node positioning algorithm is undocumented, making results potentially inconsistent or non-deterministic","no ability to save or export discovered artist chains for later reference","limited database depth in international cinema, art house films, and contemporary indie productions","recommendation quality depends heavily on initial movie selection — cold-start problem for obscure films","no documented filtering by release year, language, or content warnings","graph layout algorithm is undocumented, potentially producing inconsistent spatial positioning","no ability to filter recommendations by runtime, rating, or availability on streaming platforms","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.892Z","last_scraped_at":"2026-04-05T13:23:42.552Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=gnod","compare_url":"https://unfragile.ai/compare?artifact=gnod"}},"signature":"3kBMkuNnTD1ouGNmGYhhWcO6aE3e6a+OtHoCpmEhRQkTzzs+0Jc33fIPcSXNPHpj1dz1RzbuqbsOkVMNvO71CA==","signedAt":"2026-06-22T15:19:47.108Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gnod","artifact":"https://unfragile.ai/gnod","verify":"https://unfragile.ai/api/v1/verify?slug=gnod","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}