{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"liner","slug":"liner","name":"Liner","type":"extension","url":"https://getliner.com","page_url":"https://unfragile.ai/liner","categories":["browser-extensions"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"liner__cap_0","uri":"capability://memory.knowledge.web.page.semantic.highlighting.with.ai.extraction","name":"web-page-semantic-highlighting-with-ai-extraction","description":"Enables users to highlight text on any webpage, which triggers AI-powered semantic analysis to extract key concepts, entities, and relationships from the selected content. The extension integrates with the DOM to capture highlighted regions, sends them to a backend LLM service for contextual understanding, and stores highlights with metadata (source URL, timestamp, semantic tags) in a local or cloud-synced database for later retrieval and cross-referencing.","intents":["I want to highlight important passages on web articles and have the AI automatically tag them with topics for later discovery","I need to extract key facts from multiple web sources and organize them by semantic meaning rather than just text matching","I want my highlights to be searchable by concept, not just by exact text, so I can find related information across different pages"],"best_for":["researchers and students aggregating information from multiple web sources","knowledge workers building personal research databases","content curators identifying thematic patterns across web content"],"limitations":["Semantic extraction quality depends on LLM backend capability; may struggle with domain-specific jargon or non-English content","Highlighting on dynamically-rendered content (SPAs, JavaScript-heavy sites) may miss or misalign with actual DOM elements","Cross-domain highlight synchronization requires cloud backend; local-only mode limits multi-device access"],"requires":["Modern browser with content script support (Chrome 88+, Firefox 87+, Safari 15+)","Active internet connection for AI semantic analysis","User account for cloud sync of highlights across devices"],"input_types":["selected text from webpage","webpage URL and DOM context"],"output_types":["structured highlight object with semantic tags","metadata (source, timestamp, extracted entities)","searchable index for later retrieval"],"categories":["memory-knowledge","web-research"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__cap_1","uri":"capability://search.retrieval.ai.powered.web.search.with.source.attribution","name":"ai-powered-web-search-with-source-attribution","description":"Provides a search interface within the extension that queries web content and returns answers synthesized from multiple sources, with each claim linked back to its original URL and highlighted passage. The system uses retrieval-augmented generation (RAG) to fetch relevant web pages, extract cited passages, and present them alongside the AI-generated answer, creating a transparent chain from question to source.","intents":["I want to search the web and get answers that show me exactly which sources support each claim","I need to verify AI-generated information by immediately seeing the original web pages it came from","I want to build a research workflow where every answer is traceable to cited sources"],"best_for":["fact-checkers and journalists verifying information accuracy","students writing research papers who need source attribution","professionals in regulated industries requiring audit trails for information"],"limitations":["Citation accuracy depends on LLM's ability to correctly identify source passages; hallucinations or misattributions are possible","Real-time web search results may be stale or incomplete for niche topics","Source ranking algorithm may prioritize high-traffic sites over authoritative domain-specific sources"],"requires":["Browser extension permissions for web search and URL access","Backend API access to web search index and LLM inference","Active internet connection"],"input_types":["natural language search query","optional filters (date range, domain, content type)"],"output_types":["synthesized answer text","list of source URLs with cited passages","confidence scores per claim"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__cap_2","uri":"capability://text.generation.language.youtube.video.semantic.summarization","name":"youtube-video-semantic-summarization","description":"Analyzes YouTube video transcripts (auto-generated or manually provided) using NLP to extract key topics, timestamps, and semantic segments, then generates concise summaries organized by theme rather than chronological order. The extension integrates with YouTube's video player to inject a summary panel that links summary sections back to specific video timestamps, enabling users to jump directly to relevant parts.","intents":["I want to quickly understand the main topics of a long YouTube video without watching the entire thing","I need to find the specific timestamp where a topic is discussed in a video I've already partially watched","I want to extract key takeaways from educational or technical videos and save them to my knowledge base"],"best_for":["students and professionals consuming educational video content","researchers analyzing video lectures or conference talks","content creators identifying key moments for clips or highlights"],"limitations":["Summarization quality depends on transcript accuracy; auto-generated captions may contain errors that propagate to summaries","Semantic segmentation may fail on videos with non-linear structure (e.g., narrative films, music videos)","Timestamp linking assumes video player API compatibility; may break with YouTube UI updates"],"requires":["YouTube video with available transcript (auto-generated or manual)","Browser extension with YouTube DOM access","Backend LLM service for semantic analysis"],"input_types":["YouTube video URL","transcript text (auto-fetched or user-provided)"],"output_types":["structured summary with topic headings","timestamp-linked segments","key takeaways list"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__cap_3","uri":"capability://memory.knowledge.personalized.knowledge.feed.with.semantic.curation","name":"personalized-knowledge-feed-with-semantic-curation","description":"Aggregates highlighted content, saved sources, and search history into a personalized feed that uses semantic similarity and user interest modeling to surface relevant information. The system tracks which topics the user engages with (based on highlights, searches, and dwell time), builds a user interest vector, and ranks feed items by relevance to those interests using cosine similarity or learned ranking models.","intents":["I want a feed of web content curated specifically to my research interests without manually subscribing to feeds","I need to rediscover highlights and sources I saved weeks ago that are now relevant to my current project","I want to see related content across my entire browsing history, not just from one site or topic"],"best_for":["knowledge workers and researchers with broad, evolving research interests","students building comprehensive understanding across multiple related topics","professionals in fast-moving fields who need continuous discovery of relevant content"],"limitations":["Feed quality depends on user engagement signals; new users with sparse history get generic recommendations","Semantic similarity may cluster unrelated content if topics share vocabulary (e.g., 'Python' the language vs. the snake)","Privacy-sensitive: requires tracking user behavior and building detailed interest profiles"],"requires":["User account with activity history (highlights, searches, saved sources)","Backend ML service for interest modeling and ranking","Sufficient user engagement data (typically 10+ interactions) for meaningful personalization"],"input_types":["user highlight history","search queries and results","dwell time and engagement signals","saved sources and bookmarks"],"output_types":["ranked feed of content items","relevance scores per item","topic tags explaining why item was recommended"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__cap_4","uri":"capability://memory.knowledge.cross.domain.highlight.synchronization.and.cloud.persistence","name":"cross-domain-highlight-synchronization-and-cloud-persistence","description":"Syncs highlights, searches, and saved content across multiple devices and browsers using a cloud backend with conflict resolution and version control. The system stores highlights with metadata (URL, timestamp, user ID, semantic tags) in a cloud database, implements differential sync to minimize bandwidth, and handles edge cases like duplicate highlights, deleted sources, and offline mode by queuing changes locally until connectivity is restored.","intents":["I want to highlight content on my laptop and access those highlights on my phone without manual export","I need to ensure my research database persists even if I switch browsers or devices","I want to collaborate with teammates on shared research by seeing each other's highlights on the same pages"],"best_for":["researchers and students working across multiple devices","teams collaborating on shared research projects","professionals who need backup and recovery of their knowledge base"],"limitations":["Cloud sync introduces latency (typically 1-5 seconds) between highlight creation and availability on other devices","Offline mode requires local storage; large highlight libraries may exceed browser storage limits (typically 50MB per domain)","Shared highlights require explicit permission model; no built-in access control for team collaboration","Data residency and privacy concerns; highlights are stored on Liner's servers"],"requires":["User account with cloud sync enabled","Active internet connection for real-time sync (offline mode available with eventual consistency)","Browser with IndexedDB or similar local storage support"],"input_types":["highlight objects with metadata","user identity and device ID","sync timestamps and version numbers"],"output_types":["synchronized highlight state across devices","conflict resolution logs","sync status and error reports"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__cap_5","uri":"capability://safety.moderation.source.credibility.and.bias.detection","name":"source-credibility-and-bias-detection","description":"Analyzes the credibility and potential bias of web sources by examining domain reputation, author credentials, publication date, and content patterns using a combination of heuristics and ML models. When a user highlights content or searches, the extension displays credibility indicators (e.g., 'trusted source', 'potential bias detected', 'outdated information') alongside the content, helping users evaluate source quality without manual fact-checking.","intents":["I want to know if a source is trustworthy before relying on its claims in my research","I need to identify potential bias in sources so I can seek out opposing viewpoints","I want to be warned if I'm citing outdated information or sources with poor track records"],"best_for":["students and researchers who need to evaluate source quality","journalists and fact-checkers verifying information credibility","professionals in regulated industries requiring source validation"],"limitations":["Credibility assessment is heuristic-based and may produce false positives (e.g., flagging legitimate niche sources as low-credibility)","Bias detection relies on pattern matching and may miss subtle or novel forms of bias","No real-time fact-checking; credibility scores are based on historical domain reputation, not current content accuracy","May unfairly penalize new or emerging sources with limited historical data"],"requires":["Access to domain reputation databases and credibility scores","ML models trained on source credibility (requires significant training data)","Backend service for real-time credibility lookups"],"input_types":["source URL and domain","content text and metadata","publication date and author information"],"output_types":["credibility score (0-100)","bias indicators (left, right, neutral, mixed)","confidence level of assessment","explanation of credibility factors"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__cap_6","uri":"capability://tool.use.integration.highlight.export.and.integration.with.external.knowledge.management.tools","name":"highlight export and integration with external knowledge management tools","description":"Exports highlights in multiple formats (Markdown, JSON, CSV, HTML) and integrates with external tools like Notion, Obsidian, Roam Research, and Evernote via APIs or file-based exports. The extension may support two-way sync with some tools, automatically pushing new highlights to external systems and pulling updates back. Export includes full metadata (source URL, timestamp, tags, color) to preserve context in external tools.","intents":["I want to export my highlights to Notion or Obsidian for further processing and note-taking","I need to integrate Liner highlights with my existing knowledge management workflow","I want to generate a bibliography or reference list from my highlights with proper citations"],"best_for":["users with existing knowledge management systems (Notion, Obsidian, Roam) who want to integrate Liner","researchers and writers who need to export highlights for paper writing or content creation","teams using shared knowledge bases that need to ingest highlights from multiple sources"],"limitations":["Export format compatibility varies; some tools may not preserve all metadata (e.g., color coding, custom tags) during import","Two-way sync requires API access and authentication with external tools; not all tools support bidirectional sync","Large exports (1000+ highlights) may hit rate limits or file size restrictions in external tools","Export scheduling and automation depend on Liner's integration roadmap; not all tools may be supported"],"requires":["API keys or authentication credentials for external tools (Notion, Obsidian, etc.)","Sufficient highlight volume to make export meaningful","Internet connection for API-based exports"],"input_types":["highlight objects with full metadata","user-selected export format (Markdown, JSON, CSV, HTML)","external tool authentication credentials"],"output_types":["exported files in multiple formats","API payloads sent to external tools","structured data with preserved metadata"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__cap_7","uri":"capability://memory.knowledge.collaborative.highlight.sharing.and.team.knowledge.bases","name":"collaborative highlight sharing and team knowledge bases","description":"Enables users to share individual highlights or entire highlight collections with teammates, creating shared knowledge bases that multiple users can view, search, and build upon. Shared highlights may be read-only or allow collaborative annotation. The system tracks ownership and permissions (view, edit, comment) and may support team workspaces where highlights are organized by project or topic. Shared highlights are indexed and searchable across the team.","intents":["I want to share research highlights with my team without manually copying and pasting","I need to build a shared knowledge base of highlights across my research team","I want to see what sources my teammates have highlighted and add my own annotations"],"best_for":["research teams and academic groups collaborating on literature reviews","product teams conducting competitive analysis or market research","organizations building shared knowledge bases for onboarding or training"],"limitations":["Shared highlight visibility depends on permission model; overly permissive sharing may expose sensitive research or competitive intelligence","Collaborative annotation may create version control issues if multiple users edit the same highlight simultaneously","Team knowledge base search performance may degrade with large numbers of shared highlights (1000+) without proper indexing","Requires team account setup and user management; free tier likely limits team size or shared highlight volume"],"requires":["Liner team account or workspace setup","Multiple user accounts with appropriate permissions","Internet connection for real-time sharing and collaboration"],"input_types":["highlight objects with ownership metadata","permission specifications (view, edit, comment)","collaborative annotations and comments"],"output_types":["shared highlight collections with access controls","team knowledge base with search and filtering","activity logs and audit trails for shared highlights"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"liner__headline","uri":"capability://tool.use.integration.ai.powered.web.highlighter.and.search.extension","name":"ai-powered web highlighter and search extension","description":"An AI-driven browser extension that allows users to highlight text on the web and search for trusted answers, enhancing their research and learning experience with citations and personalized content.","intents":["best AI web highlighter","AI extension for research","web highlighting tool for students","AI citation tool for online articles","best browser extension for knowledge management"],"best_for":["students","researchers","content creators"],"limitations":["requires internet access","not open source"],"requires":["browser installation"],"input_types":["text","URLs"],"output_types":["highlighted text","summarized content"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":56,"verified":false,"data_access_risk":"high","permissions":["Modern browser with content script support (Chrome 88+, Firefox 87+, Safari 15+)","Active internet connection for AI semantic analysis","User account for cloud sync of highlights across devices","Browser extension permissions for web search and URL access","Backend API access to web search index and LLM inference","Active internet connection","YouTube video with available transcript (auto-generated or manual)","Browser extension with YouTube DOM access","Backend LLM service for semantic analysis","User account with activity history (highlights, searches, saved sources)"],"failure_modes":["Semantic extraction quality depends on LLM backend capability; may struggle with domain-specific jargon or non-English content","Highlighting on dynamically-rendered content (SPAs, JavaScript-heavy sites) may miss or misalign with actual DOM elements","Cross-domain highlight synchronization requires cloud backend; local-only mode limits multi-device access","Citation accuracy depends on LLM's ability to correctly identify source passages; hallucinations or misattributions are possible","Real-time web search results may be stale or incomplete for niche topics","Source ranking algorithm may prioritize high-traffic sites over authoritative domain-specific sources","Summarization quality depends on transcript accuracy; auto-generated captions may contain errors that propagate to summaries","Semantic segmentation may fail on videos with non-linear structure (e.g., narrative films, music videos)","Timestamp linking assumes video player API compatibility; may break with YouTube UI updates","Feed quality depends on user engagement signals; new users with sparse history get generic recommendations","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.8500000000000001,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.327Z","last_scraped_at":null,"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=liner","compare_url":"https://unfragile.ai/compare?artifact=liner"}},"signature":"Dagv7YgLNLMQWeGW3LZWBkV1fu0t4/Okfj83R5AaR4cXw39jDWFBHcNCMj58tbQ4bV2LYvsWrXTt/Rg+R6cQCg==","signedAt":"2026-06-20T17:09:20.086Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/liner","artifact":"https://unfragile.ai/liner","verify":"https://unfragile.ai/api/v1/verify?slug=liner","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"}}