{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_manga-tv","slug":"manga-tv","name":"Manga TV","type":"product","url":"https://mangatv.shop","page_url":"https://unfragile.ai/manga-tv","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_manga-tv__cap_0","uri":"capability://memory.knowledge.collaborative.filtering.based.manga.recommendation","name":"collaborative-filtering-based manga recommendation","description":"Generates personalized manga recommendations by analyzing user reading history, ratings, and completion patterns against a corpus of similar users' behaviors. The system likely employs matrix factorization or embedding-based collaborative filtering to identify latent preference dimensions, then ranks candidate titles by predicted user-item affinity scores. This approach requires no explicit genre tagging and discovers non-obvious recommendations by finding users with similar reading trajectories.","intents":["I want to discover new manga titles that match my reading preferences without manually browsing thousands of options","I need recommendations that go beyond obvious genre matches to find hidden gems similar to my favorites","I want the platform to learn my taste over time and improve recommendations as I read more"],"best_for":["casual manga readers with diverse tastes who want serendipitous discovery","users with established reading histories (20+ titles) for effective collaborative signal","readers who prefer algorithmic curation over manual browsing"],"limitations":["cold-start problem: new users with <5 reads receive generic recommendations until sufficient history accumulates","recommendation diversity may suffer if collaborative signal clusters users into narrow preference groups","no transparency into why specific titles are recommended, limiting user trust and feedback loops","requires continuous retraining on updated reading data; stale models degrade recommendation quality"],"requires":["user account with reading history (minimum 3-5 completed titles for meaningful signal)","backend vector database or embedding store (likely Pinecone, Weaviate, or proprietary)","periodic model retraining pipeline (weekly or monthly cadence)"],"input_types":["user reading history (title IDs, completion status, ratings)","manga metadata (title, author, genre tags, publication date)","user interaction events (page views, time-on-page, completion time)"],"output_types":["ranked list of manga titles with confidence scores","personalized recommendation explanations (optional)","A/B test variants for recommendation algorithm comparison"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_1","uri":"capability://data.processing.analysis.multi.source.manga.content.aggregation.and.normalization","name":"multi-source manga content aggregation and normalization","description":"Consolidates manga from multiple upstream sources (scanlation groups, official publishers, fan sites) into a unified reading interface by normalizing metadata, chapter sequences, and image formats. The system likely maintains source-agnostic internal representations of manga titles and chapters, with adapters or scrapers for each source that map external IDs to canonical internal identifiers. This enables users to switch between sources for the same title and presents a seamless reading experience despite fragmented upstream data.","intents":["I want to read manga from multiple sources without switching between different apps or websites","I need the platform to automatically find the best available version of a chapter (highest quality, fastest update)","I want to continue reading from where I left off even if a source goes offline or removes content"],"best_for":["manga readers who follow series across multiple scanlation groups and official sources","users in regions with limited official manga availability who rely on fan translations","readers who prioritize reading continuity and don't want to track source changes"],"limitations":["legal and licensing risk: aggregating unlicensed scanlations exposes platform to DMCA takedowns and publisher litigation","source reliability: upstream sources may change URLs, rate-limit access, or remove content without notice, breaking aggregation","metadata inconsistency: different sources use conflicting chapter numbering, titles, and release dates; normalization requires manual curation or heuristics that fail on edge cases","image quality varies by source; platform cannot improve low-resolution upstream images without re-encoding","no guarantee of content freshness: updates depend on upstream source speed; platform cannot accelerate scanlation timelines"],"requires":["web scraping or API access to upstream manga sources (may violate ToS)","content delivery network or image proxy to serve aggregated content efficiently","metadata database with canonical manga/chapter identifiers and source mappings","automated or semi-automated source monitoring to detect new chapters and metadata changes"],"input_types":["manga chapter images (JPEG, PNG, WebP formats)","chapter metadata (title, chapter number, release date, translator credits)","source URLs and identifiers"],"output_types":["normalized chapter sequences with consistent numbering","deduplicated manga titles with source availability indicators","unified reading interface with source selection UI"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_2","uri":"capability://image.visual.adaptive.reading.layout.optimization.for.mobile.and.desktop","name":"adaptive reading layout optimization for mobile and desktop","description":"Dynamically adjusts manga page rendering, zoom levels, and navigation patterns based on device type, screen size, and user reading preferences. The system likely detects device orientation, implements responsive image scaling with server-side or client-side optimization, and offers multiple reading modes (single-page, double-page spread, continuous scroll, webtoon vertical scroll). This ensures readable, ergonomic viewing across phones, tablets, and desktops without requiring manual layout adjustments per device.","intents":["I want to read manga on my phone without constantly pinching to zoom or losing my place","I need the reading interface to automatically adapt when I rotate my device from portrait to landscape","I want to choose between different reading modes (page-by-page, continuous scroll) depending on my device and mood"],"best_for":["mobile-first manga readers who primarily use phones or tablets","users switching between devices (phone during commute, desktop at home) who expect consistent experience","readers with accessibility needs (large text, high contrast) who benefit from layout flexibility"],"limitations":["image quality degradation: aggressive downsampling for mobile may lose detail in artwork; upsampling introduces artifacts","layout complexity: manga with complex panel layouts, speech bubbles, or non-standard aspect ratios may not adapt well to narrow screens","reading mode switching adds UI complexity and may confuse casual users unfamiliar with webtoon vs. traditional manga formats","server-side image optimization adds latency (100-300ms per image) compared to pre-optimized assets","no offline reading: adaptive rendering requires real-time device detection and network access"],"requires":["responsive frontend framework (React, Vue, or native mobile app)","image optimization service (ImageMagick, Cloudinary, or custom pipeline) supporting multiple output formats and sizes","device detection library (user-agent parsing or JavaScript API) to identify screen size and orientation","client-side state management to persist user reading mode and zoom preferences"],"input_types":["manga chapter images (original high-resolution scans)","device metadata (screen size, DPI, orientation, browser capabilities)","user preferences (reading mode, zoom level, color profile)"],"output_types":["optimized image variants (multiple resolutions, formats: WebP, JPEG, PNG)","responsive HTML/CSS layouts for different screen sizes","reading mode UI with navigation controls"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_3","uri":"capability://memory.knowledge.reading.progress.tracking.and.synchronization.across.devices","name":"reading progress tracking and synchronization across devices","description":"Maintains persistent user reading state (current chapter, page position, bookmarks, ratings) in a cloud backend and synchronizes this state across multiple devices in real-time or near-real-time. The system likely uses a user account system with session management, a backend database storing reading progress keyed by user ID and manga title, and client-side logic to detect conflicts (e.g., user reads on phone and desktop simultaneously) and resolve them via last-write-wins or user-initiated merge strategies.","intents":["I want to start reading on my phone during my commute and continue on my desktop at home without losing my place","I need to bookmark specific chapters or pages for later reference without manually noting chapter numbers","I want to see my reading statistics (chapters read, time spent, completion percentage) across all my devices"],"best_for":["users with multiple devices (phone, tablet, desktop) who read manga across different contexts","readers who want to track reading habits and progress over time","users who appreciate cloud sync for convenience and data backup"],"limitations":["requires user account creation and login, adding friction for casual users who prefer anonymous browsing","sync latency: real-time synchronization may introduce 1-5 second delays before progress updates across devices","conflict resolution complexity: if user reads on two devices simultaneously, platform must choose which progress state to persist","privacy concern: reading history stored on cloud servers; users must trust platform with sensitive data about manga preferences","data loss risk: if backend fails or user account is compromised, reading progress may be lost or exposed","offline reading not supported: progress tracking requires network connectivity"],"requires":["user authentication system (OAuth, email/password, or social login)","backend database with user account and reading progress tables (PostgreSQL, MongoDB, or Firebase)","session management and token-based authentication (JWT or similar)","real-time sync mechanism (WebSocket, Server-Sent Events, or polling) for cross-device updates","conflict resolution logic and data versioning strategy"],"input_types":["user authentication credentials","reading progress events (chapter ID, page number, timestamp, device ID)","bookmark and rating data"],"output_types":["synchronized reading state across devices","reading statistics and progress reports","bookmark and rating lists"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_4","uri":"capability://search.retrieval.content.based.filtering.for.manga.discovery.by.visual.and.textual.attributes","name":"content-based filtering for manga discovery by visual and textual attributes","description":"Enables users to discover manga by filtering or searching on explicit attributes such as genre, author, publication date, art style, and narrative themes. The system likely maintains a structured metadata schema for each manga title, supports full-text search on titles and descriptions, and implements faceted search UI allowing users to combine multiple filters. This approach complements collaborative filtering by enabling intentional, attribute-driven discovery when users know what they're looking for.","intents":["I want to find all manga by a specific author or artist I enjoy","I need to filter manga by genre (e.g., 'romance + fantasy') to narrow down options","I want to search for manga with specific themes or story elements (e.g., 'time travel', 'found family')"],"best_for":["users with specific manga preferences who want intentional discovery rather than algorithmic recommendations","readers searching for manga by known attributes (author, genre, publication year)","users building curated lists or recommendations for others"],"limitations":["metadata quality depends on upstream sources; inconsistent or missing genre tags reduce filter effectiveness","genre taxonomy is subjective: manga may fit multiple genres, and different sources use conflicting classifications","text search limited to titles and descriptions; cannot search by plot details or character names without additional indexing","faceted search UI complexity may overwhelm casual users; requires clear information architecture","filter combinations may return zero results if metadata is sparse or inconsistent"],"requires":["structured metadata database with genre, author, artist, publication date, and theme tags","full-text search engine (Elasticsearch, Algolia, or database full-text search)","faceted search UI implementation (filtering, sorting, result pagination)","metadata curation or validation process to ensure consistency across sources"],"input_types":["manga metadata (title, author, artist, genres, themes, publication date, description)","user filter queries (genre selections, author name, date range)"],"output_types":["filtered manga lists with result counts","faceted search results with available filter options","sorted results by relevance, popularity, or recency"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_5","uri":"capability://data.processing.analysis.user.rating.and.review.aggregation.with.sentiment.analysis","name":"user rating and review aggregation with sentiment analysis","description":"Collects user ratings (numeric scores or star ratings) and written reviews for manga titles, aggregates them into summary statistics (average rating, rating distribution), and optionally applies sentiment analysis to extract themes from review text. The system likely stores individual ratings in a database, computes aggregate metrics on-demand or via batch processing, and may use NLP models to classify review sentiment or extract common praise/criticism topics. This provides social proof and helps users make reading decisions based on community feedback.","intents":["I want to see what other readers think about a manga before starting it","I need to understand the most common criticisms or praise for a title to decide if it matches my preferences","I want to contribute my own rating and review to help other readers"],"best_for":["users who rely on community feedback to make reading decisions","readers who want to share their opinions and contribute to platform community","platform operators who want to identify high-quality and problematic content through user signals"],"limitations":["review spam and manipulation: users may post fake positive/negative reviews to promote or sabotage titles","sentiment analysis errors: NLP models struggle with sarcasm, context-dependent language, and manga-specific terminology","rating bias: early adopters and passionate fans may skew ratings; casual readers less likely to rate","review moderation overhead: platform must review and remove inappropriate content, requiring human effort or imperfect automated filtering","cold-start problem: new titles have few ratings, limiting usefulness of aggregated feedback","no incentive structure: users may not rate/review unless platform gamifies participation (badges, leaderboards)"],"requires":["user authentication to prevent duplicate/anonymous ratings","database schema for ratings (user ID, manga ID, score, timestamp) and reviews (user ID, manga ID, text, timestamp)","aggregation queries to compute average rating, rating distribution, review count","optional NLP sentiment analysis model (pre-trained BERT, GPT-based classifier, or third-party API)","content moderation system (keyword filtering, user reporting, human review queue)"],"input_types":["user ratings (numeric scores, typically 1-5 or 1-10)","user review text (free-form written feedback)","user reporting of inappropriate content"],"output_types":["aggregated rating statistics (average, distribution, count)","review lists with sorting (helpful, recent, highest-rated)","sentiment summary (positive/negative/neutral breakdown)","common themes extracted from reviews (optional)"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_6","uri":"capability://data.processing.analysis.manga.reading.history.and.statistics.dashboard","name":"manga reading history and statistics dashboard","description":"Aggregates user reading activity into a personal dashboard displaying metrics such as total chapters read, time spent reading, reading streak, favorite genres, and reading pace trends. The system likely processes reading progress events (chapter completions, time-on-page) in batch or streaming fashion, computes derived metrics (reading velocity, genre distribution), and visualizes trends over time using charts or progress indicators. This provides users with insights into their reading habits and encourages continued engagement through gamification.","intents":["I want to see how much manga I've read and track my reading progress over time","I need to understand my reading patterns (favorite genres, reading speed, consistency) to discover new titles","I want to set reading goals and track progress toward them (e.g., 'read 50 chapters this month')"],"best_for":["engaged manga readers who enjoy tracking habits and setting goals","users motivated by gamification and progress visualization","readers who want data-driven insights into their preferences"],"limitations":["metric accuracy depends on reading progress tracking; if users skip chapters or don't mark completion, statistics are skewed","time-on-page metrics unreliable: users may leave app open without reading, inflating time spent","dashboard complexity: too many metrics overwhelm users; too few feel superficial","privacy concern: detailed reading history reveals sensitive information about user preferences and habits","no offline support: statistics require cloud sync; users reading offline cannot contribute to metrics","gamification may encourage unhealthy reading habits (binge-reading to maintain streaks) or create anxiety"],"requires":["reading progress event tracking (chapter completion, page views, time-on-page)","backend analytics pipeline (batch processing or streaming) to compute aggregate metrics","time-series database or data warehouse to store historical statistics","frontend dashboard UI with charts and visualizations (Chart.js, D3.js, or similar)","optional goal-setting and notification system to remind users of targets"],"input_types":["reading progress events (chapter ID, completion timestamp, time-on-page)","user-set reading goals (target chapters/month, favorite genres)"],"output_types":["reading statistics dashboard with charts and metrics","reading streak indicators and milestone badges","genre distribution and reading pace trends","goal progress tracking and notifications"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_7","uri":"capability://automation.workflow.freemium.tier.management.with.feature.gating.and.paywall.enforcement","name":"freemium tier management with feature gating and paywall enforcement","description":"Implements a two-tier access model where free users receive limited functionality (e.g., ads, slower updates, restricted reading history) while premium subscribers unlock full features (ad-free, priority updates, unlimited history). The system likely uses feature flags or permission checks at the API/UI level to enforce tier restrictions, tracks subscription status in user accounts, and integrates with payment processing (Stripe, Apple In-App Purchase) to manage billing. This monetization model balances user acquisition (low barrier to entry) with revenue generation (premium conversions).","intents":["I want to try the platform for free before committing to a paid subscription","I need to upgrade to premium to remove ads and access faster chapter updates","I want to manage my subscription and billing information"],"best_for":["freemium platforms seeking to balance user acquisition with monetization","users willing to tolerate ads or feature limitations in exchange for free access","premium subscribers who value ad-free experience and priority features"],"limitations":["free tier must be compelling enough to attract users but limited enough to incentivize upgrades; balance is difficult to achieve","aggressive paywalls (e.g., limiting free users to 1 chapter/day) may frustrate users and reduce conversion","ad placement and frequency impact user experience; too many ads drive users away, too few reduce ad revenue","payment processing adds complexity and compliance overhead (PCI DSS, tax handling, refund policies)","churn risk: users may cancel subscriptions if premium features don't justify cost or if free tier becomes too restrictive","regional pricing complexity: subscription costs vary by country; platform must handle currency conversion and local payment methods"],"requires":["user authentication and account tier tracking (free vs. premium)","feature flag or permission system to enforce tier-based access control","payment processing integration (Stripe, PayPal, Apple In-App Purchase, Google Play Billing)","subscription management backend (billing cycles, renewal, cancellation, refunds)","ad serving infrastructure (ad network integration, impression tracking, revenue reporting)","analytics to track conversion rates, churn, and lifetime value by tier"],"input_types":["user tier status (free or premium)","payment method and billing information","feature access requests from client"],"output_types":["feature availability indicators (locked/unlocked UI elements)","paywall prompts and upgrade CTAs","subscription status and billing history","ad impressions and revenue reports"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_manga-tv__cap_8","uri":"capability://automation.workflow.manga.source.availability.and.update.status.monitoring","name":"manga source availability and update status monitoring","description":"Continuously monitors upstream manga sources for new chapter releases, content availability changes, and source health (uptime, accessibility). The system likely runs periodic scraping jobs or polls source APIs, detects new chapters by comparing against cached metadata, and notifies users of updates via push notifications, email, or in-app alerts. This enables users to stay informed about their reading list without manually checking multiple sources.","intents":["I want to be notified when new chapters of my favorite manga are released","I need to know if a manga source goes offline or removes content I'm reading","I want to prioritize reading updates from sources with the fastest release schedule"],"best_for":["active manga readers who follow multiple series and want timely update notifications","users who want to avoid missing chapter releases or source changes","platform operators who want to provide value-added service beyond basic aggregation"],"limitations":["source monitoring adds significant infrastructure cost (scraping/polling overhead, storage for change detection)","update latency: platform may lag behind source by hours or days depending on polling frequency","false positives: metadata changes (chapter renumbering, re-uploads) may trigger spurious notifications","source reliability: upstream sources may block scrapers, change URLs, or rate-limit access, breaking monitoring","notification fatigue: too many update notifications may annoy users; too few miss important releases","no guarantee of completeness: platform cannot monitor all possible sources; users may miss releases from unlisted sources"],"requires":["scheduled job system (cron, Airflow, or cloud scheduler) to run periodic source monitoring","web scraping or API integration for each source (may violate ToS)","change detection logic (comparing current vs. cached metadata, using image hashing for deduplication)","notification system (push notifications, email, in-app alerts) with user preference management","source health monitoring (uptime checks, error tracking, alerting)"],"input_types":["source URLs and API endpoints","cached manga/chapter metadata for change detection","user notification preferences (channels, frequency, which series to monitor)"],"output_types":["new chapter notifications with source and release time","source availability alerts (offline, content removed)","update status dashboard showing latest releases per series"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["user account with reading history (minimum 3-5 completed titles for meaningful signal)","backend vector database or embedding store (likely Pinecone, Weaviate, or proprietary)","periodic model retraining pipeline (weekly or monthly cadence)","web scraping or API access to upstream manga sources (may violate ToS)","content delivery network or image proxy to serve aggregated content efficiently","metadata database with canonical manga/chapter identifiers and source mappings","automated or semi-automated source monitoring to detect new chapters and metadata changes","responsive frontend framework (React, Vue, or native mobile app)","image optimization service (ImageMagick, Cloudinary, or custom pipeline) supporting multiple output formats and sizes","device detection library (user-agent parsing or JavaScript API) to identify screen size and orientation"],"failure_modes":["cold-start problem: new users with <5 reads receive generic recommendations until sufficient history accumulates","recommendation diversity may suffer if collaborative signal clusters users into narrow preference groups","no transparency into why specific titles are recommended, limiting user trust and feedback loops","requires continuous retraining on updated reading data; stale models degrade recommendation quality","legal and licensing risk: aggregating unlicensed scanlations exposes platform to DMCA takedowns and publisher litigation","source reliability: upstream sources may change URLs, rate-limit access, or remove content without notice, breaking aggregation","metadata inconsistency: different sources use conflicting chapter numbering, titles, and release dates; normalization requires manual curation or heuristics that fail on edge cases","image quality varies by source; platform cannot improve low-resolution upstream images without re-encoding","no guarantee of content freshness: updates depend on upstream source speed; platform cannot accelerate scanlation timelines","image quality degradation: aggressive downsampling for mobile may lose detail in artwork; upsampling introduces artifacts","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:31.857Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=manga-tv","compare_url":"https://unfragile.ai/compare?artifact=manga-tv"}},"signature":"qd53T+lCunuqLfgzrZ3scgQ6tBL2LA0DVdhW8EGcAspJ1w+KcQLvehR0yCQLRrZk1ROVcZXwwO60sJeLTTIuCQ==","signedAt":"2026-06-20T10:45:48.577Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/manga-tv","artifact":"https://unfragile.ai/manga-tv","verify":"https://unfragile.ai/api/v1/verify?slug=manga-tv","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"}}