{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_intentseek","slug":"intentseek","name":"IntentSeek","type":"extension","url":"https://chrome.google.com","page_url":"https://unfragile.ai/intentseek","categories":["browser-extensions"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_intentseek__cap_0","uri":"capability://text.generation.language.context.menu.triggered.text.summarization","name":"context-menu-triggered text summarization","description":"Enables users to right-click selected text on any webpage and instantly generate a concise summary without leaving the browser. The extension injects a content script that captures selected DOM text, sends it to a backend AI service, and displays results in a popup or sidebar overlay. This eliminates the copy-paste workflow required by standalone summarization tools.","intents":["I need to quickly summarize a long article paragraph without opening a new tab","I want to extract key points from research papers while browsing","I need to condense verbose product descriptions for comparison shopping"],"best_for":["Students conducting research who need rapid content distillation","Professionals reviewing competitor content or market research","Content curators filtering large volumes of web text"],"limitations":["Summary quality depends on underlying AI model — no transparency on model version or fine-tuning","Cannot summarize content behind paywalls or JavaScript-rendered content if extension lacks full DOM access","Summarization latency varies with backend service availability; no offline fallback documented","Context window limitations may truncate very long selections (typical: 2000-4000 tokens)"],"requires":["Chrome browser (version unknown — not documented)","Active internet connection for API calls to backend service","Text selection capability on target webpage (blocked on some sites with CSP restrictions)"],"input_types":["selected text from webpage","HTML-rendered text content"],"output_types":["summarized text","bullet-point summary"],"categories":["text-generation-language","browser-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_1","uri":"capability://text.generation.language.inline.text.rewriting.and.tone.transformation","name":"inline text rewriting and tone transformation","description":"Allows users to select text on a webpage and apply transformations (formal-to-casual, expand, condense, change tone) via context menu options. The extension captures selected text, sends it to an AI backend with transformation parameters, and displays rewritten variants inline or in a popup. This enables real-time writing assistance without leaving the browsing context.","intents":["I need to rephrase an email draft I'm composing in Gmail without switching tabs","I want to make technical documentation more accessible by simplifying language","I need to adjust the tone of social media copy from professional to conversational"],"best_for":["Content writers and marketers working directly in web-based editors (Gmail, Medium, Notion)","Non-native English speakers seeking real-time language refinement","Professionals drafting communications who want tone consistency checks"],"limitations":["Rewriting quality varies by tone/style — no documentation on supported transformation types or accuracy benchmarks","Cannot edit text within iframe-embedded editors (common in web apps) without explicit permission declarations","No version control or undo history for rewrites — users must manually track changes","Tone transformation may not preserve domain-specific terminology or brand voice without custom training"],"requires":["Chrome browser with content script injection enabled","Editable text field or contenteditable element on webpage","Backend API connectivity for transformation requests"],"input_types":["selected text","tone/style parameter (formal, casual, professional, etc.)"],"output_types":["rewritten text variants","tone-adjusted copy"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_10","uri":"capability://data.processing.analysis.content.comparison.and.diff.analysis.across.multiple.sources","name":"content comparison and diff analysis across multiple sources","description":"Enables users to compare text from multiple webpages or select multiple text snippets and visualize differences, similarities, and changes. The extension performs semantic or textual diff analysis and highlights variations. This supports research, competitive analysis, and version tracking workflows.","intents":["I want to compare product descriptions across competitor websites","I need to track changes in policy documents or terms of service","I want to identify similarities between research papers to detect plagiarism"],"best_for":["Competitive intelligence analysts comparing competitor offerings","Researchers detecting plagiarism or content reuse","Compliance teams tracking policy changes"],"limitations":["Diff analysis limited to text — cannot compare images or formatted content","Semantic similarity detection may miss paraphrased content — no documentation on similarity algorithm","Comparison limited to browser-accessible content — cannot compare behind-paywall content","No multi-document comparison (>2 sources) capability documented"],"requires":["Chrome browser","Multiple text sources or webpages","Backend diff/similarity analysis service"],"input_types":["text snippet 1","text snippet 2","optional: comparison type (textual, semantic)"],"output_types":["diff visualization","similarity score","highlighted changes"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_11","uri":"capability://data.processing.analysis.reading.time.estimation.and.content.complexity.analysis","name":"reading time estimation and content complexity analysis","description":"Analyzes selected text or webpage content to estimate reading time, assess readability level, and identify complexity factors (vocabulary, sentence length, technical terms). The extension displays metrics inline or in a sidebar, helping users gauge content difficulty before committing to reading.","intents":["I want to know how long it will take to read an article before starting","I need to assess whether content is appropriate for my reading level","I want to identify technical jargon that might require additional research"],"best_for":["Students managing reading workload and time allocation","Professionals prioritizing content by complexity","Content creators optimizing readability for target audiences"],"limitations":["Reading time estimation assumes average reading speed — no personalization by user reading speed","Readability metrics (Flesch-Kincaid, etc.) are heuristic-based — may not reflect actual comprehension difficulty","Technical term identification limited to predefined glossaries — may miss domain-specific jargon","No consideration for content structure (headers, lists) that affect actual reading time"],"requires":["Chrome browser","Text content to analyze"],"input_types":["selected text","webpage content"],"output_types":["reading time estimate (minutes)","readability score","complexity level","technical term list"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_2","uri":"capability://data.processing.analysis.semantic.text.extraction.and.structured.data.generation","name":"semantic text extraction and structured data generation","description":"Enables users to highlight text and extract structured information (entities, relationships, key facts) or convert unstructured content into formatted outputs (tables, lists, JSON). The extension parses selected text through an NLP backend that identifies semantic patterns and returns structured representations. This bridges the gap between reading web content and programmatically using that data.","intents":["I need to extract product specifications from a product page into a comparison table","I want to pull contact information and company details from a business listing into a structured format","I need to convert a paragraph of research findings into a bullet-point outline for my notes"],"best_for":["Data analysts and researchers who need to convert web content into structured datasets","Business intelligence professionals extracting competitive intelligence","Students organizing research notes from multiple sources"],"limitations":["Extraction accuracy depends on text structure and domain — no documentation on supported content types or accuracy rates","No custom schema definition capability documented — users cannot specify which fields to extract","Output format options unknown — unclear if JSON, CSV, Markdown table, or other formats are supported","Hallucination risk with LLM-based extraction — no validation or confidence scoring documented"],"requires":["Chrome browser","Structured or semi-structured text content (unstructured prose extraction quality unknown)","Backend NLP service with entity recognition and relationship extraction models"],"input_types":["selected text","extraction type parameter (entities, relationships, facts, etc.)"],"output_types":["JSON","CSV","Markdown table","structured list"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_3","uri":"capability://text.generation.language.research.aware.content.ideation.and.expansion","name":"research-aware content ideation and expansion","description":"Allows users to input a topic or partial text and generate related ideas, questions, or expanded content based on web context. The extension may analyze the current webpage or user's browsing history to inform ideation, generating contextually relevant suggestions. This enables writers and researchers to overcome creative blocks by leveraging their current research context.","intents":["I'm writing an article about machine learning and need related subtopics or questions to explore","I want to brainstorm related product features based on competitor websites I'm currently viewing","I need to expand a thesis statement into an outline with supporting arguments"],"best_for":["Content creators and writers seeking inspiration without leaving their research context","Product managers ideating features based on competitive analysis","Academic researchers developing research questions from literature review"],"limitations":["Ideation quality depends on whether extension analyzes current page context — no documentation on context window or relevance filtering","No control over idea generation parameters (creativity level, specificity, quantity) documented","Risk of generic suggestions if backend doesn't truly leverage browsing context vs. topic alone","No feedback mechanism to refine suggestions based on user preferences"],"requires":["Chrome browser","Topic or partial text input","Backend generative model with context awareness (if context-based) or general-purpose ideation model"],"input_types":["topic string","partial text or outline","optional: current webpage context"],"output_types":["idea list","question list","expanded outline","related topics"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_4","uri":"capability://text.generation.language.multi.language.text.translation.with.context.preservation","name":"multi-language text translation with context preservation","description":"Enables users to select text on any webpage and translate it to a target language while preserving formatting and context. The extension captures selected text, sends it to a translation backend (likely cloud-based), and displays the translation inline or in a popup. This eliminates the need to copy-paste into separate translation tools.","intents":["I need to quickly translate a paragraph from a foreign-language website without leaving the page","I want to read academic papers in languages I don't speak fluently","I need to translate customer feedback or support tickets from multiple languages"],"best_for":["Multilingual professionals and researchers accessing global content","Students learning languages who want to read native content with on-demand translation","International teams collaborating across language barriers"],"limitations":["Translation quality depends on backend service (likely Google Translate or similar) — no documentation on model or accuracy","Context preservation may fail for idioms, cultural references, or domain-specific terminology","No custom glossary or terminology management documented","Formatting preservation limited to plain text — HTML or styled content may lose formatting"],"requires":["Chrome browser","Internet connection to translation API","Source and target language selection"],"input_types":["selected text","source language (auto-detect or user-specified)","target language"],"output_types":["translated text","formatted translation"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_5","uri":"capability://text.generation.language.webpage.aware.chatbot.interaction.with.persistent.context","name":"webpage-aware chatbot interaction with persistent context","description":"Provides a sidebar or popup chatbot interface that maintains conversation context across multiple turns while having access to the current webpage's content. Users can ask questions about the page, request analysis, or have general conversations, with the chatbot referencing page content as needed. This enables conversational exploration of web content without manual context injection.","intents":["I want to ask questions about an article I'm reading and get answers based on its content","I need to discuss research findings with an AI assistant while keeping the source material visible","I want to get clarification on technical documentation without switching tabs"],"best_for":["Researchers and students who want conversational analysis of web content","Professionals seeking real-time clarification on documentation or articles","Users who prefer dialogue-based learning over passive reading"],"limitations":["Chatbot context window may not accommodate entire webpage — no documentation on context truncation strategy","Conversation history not persisted across browser sessions (typical for extensions) — users lose context on restart","No multi-turn reasoning or memory of previous conversations documented","Chatbot responses may hallucinate or misinterpret page content if backend model lacks grounding"],"requires":["Chrome browser","Backend chatbot service (likely LLM-based)","Webpage content accessible to extension (blocked by CSP on some sites)"],"input_types":["user message","webpage context (current page content)"],"output_types":["conversational response","cited references to page content"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_6","uri":"capability://image.visual.image.generation.from.text.descriptions.within.browsing.context","name":"image generation from text descriptions within browsing context","description":"Allows users to input text descriptions or select text on a webpage and generate images based on that content. The extension captures the description, sends it to an image generation backend (likely Stable Diffusion, DALL-E, or similar), and displays generated images in a popup or sidebar. This enables visual content creation without leaving the browser.","intents":["I'm writing a blog post and want to generate featured images from my article descriptions","I need to create product mockup images based on specifications I'm reading","I want to visualize concepts from research papers I'm reviewing"],"best_for":["Content creators and bloggers who want to generate images without external tools","Product designers prototyping visual concepts","Educators creating visual aids from text descriptions"],"limitations":["Image generation quality depends on backend model and prompt engineering — no documentation on model version or fine-tuning","No control over generation parameters (style, resolution, aspect ratio) documented","Generated images may not match text descriptions accurately — no iterative refinement capability documented","Copyright and licensing of generated images unclear — no documentation on usage rights","Generation latency may be significant (30+ seconds typical) — no async handling documented"],"requires":["Chrome browser","Text description input","Backend image generation service with API access","Sufficient API quota (if rate-limited)"],"input_types":["text description","optional: style or quality parameters"],"output_types":["generated image","multiple image variants"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_7","uri":"capability://data.processing.analysis.content.classification.and.categorization.with.custom.tags","name":"content classification and categorization with custom tags","description":"Enables users to select text or analyze webpage content and automatically classify it into predefined categories or apply custom tags. The extension uses NLP classification models to assign labels based on content semantics. This supports content organization, filtering, and research management workflows.","intents":["I want to automatically tag research papers by topic as I browse academic databases","I need to classify customer feedback by sentiment or issue type","I want to organize bookmarks by content category without manual tagging"],"best_for":["Researchers managing large volumes of web content","Content managers organizing digital assets","Teams conducting content analysis or competitive intelligence"],"limitations":["Classification accuracy depends on model training — no documentation on supported categories or accuracy metrics","No custom category definition capability documented — users limited to predefined categories","Multi-label classification support unknown — unclear if content can have multiple tags","No feedback mechanism to improve classification accuracy over time"],"requires":["Chrome browser","Text content to classify","Backend classification model"],"input_types":["selected text","webpage content","optional: predefined category list"],"output_types":["category label","confidence score","tag list"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_8","uri":"capability://data.processing.analysis.sentiment.analysis.and.emotional.tone.detection","name":"sentiment analysis and emotional tone detection","description":"Allows users to select text and analyze its sentiment (positive, negative, neutral) or emotional tone (angry, happy, sad, etc.). The extension sends selected text to a sentiment analysis backend and displays results with confidence scores. This enables quick assessment of content tone without manual reading.","intents":["I want to analyze customer reviews to understand sentiment distribution","I need to assess the tone of social media comments about my brand","I want to detect emotional language in research papers or articles"],"best_for":["Social media managers monitoring brand sentiment","Customer success teams analyzing feedback","Researchers studying emotional language in text"],"limitations":["Sentiment analysis accuracy varies by domain and language — no documentation on model performance","Sarcasm and irony detection typically weak in sentiment models — may misclassify intent","No context awareness for multi-sentence sentiment — may not capture overall tone if sentences conflict","Emotional tone detection (beyond positive/negative) less reliable — no documentation on emotion categories"],"requires":["Chrome browser","Text content to analyze","Backend sentiment analysis model"],"input_types":["selected text","optional: target emotion categories"],"output_types":["sentiment label (positive/negative/neutral)","confidence score","emotion labels","emotional intensity"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intentseek__cap_9","uri":"capability://text.generation.language.grammar.and.style.checking.with.real.time.feedback","name":"grammar and style checking with real-time feedback","description":"Analyzes selected text or content in editable fields for grammatical errors, style issues, and readability problems. The extension highlights errors inline or in a sidebar, providing suggestions for correction. This enables real-time writing quality improvement without leaving the browser.","intents":["I want to check grammar in emails I'm composing in Gmail","I need to improve readability of blog posts I'm drafting","I want to catch spelling and punctuation errors before publishing"],"best_for":["Writers and content creators seeking real-time feedback","Non-native English speakers improving language proficiency","Professionals ensuring communication quality"],"limitations":["Grammar checking accuracy depends on model — no documentation on error detection rate or false positive rate","Style suggestions may be subjective — no documentation on style guide or tone preferences","Cannot check grammar in non-editable content (images, PDFs) without OCR","Real-time checking may add latency to typing — no performance impact documentation"],"requires":["Chrome browser","Editable text field or contenteditable element","Backend grammar checking service"],"input_types":["text content","optional: style guide or tone preferences"],"output_types":["error highlights","correction suggestions","readability score"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"moderate","permissions":["Chrome browser (version unknown — not documented)","Active internet connection for API calls to backend service","Text selection capability on target webpage (blocked on some sites with CSP restrictions)","Chrome browser with content script injection enabled","Editable text field or contenteditable element on webpage","Backend API connectivity for transformation requests","Chrome browser","Multiple text sources or webpages","Backend diff/similarity analysis service","Text content to analyze"],"failure_modes":["Summary quality depends on underlying AI model — no transparency on model version or fine-tuning","Cannot summarize content behind paywalls or JavaScript-rendered content if extension lacks full DOM access","Summarization latency varies with backend service availability; no offline fallback documented","Context window limitations may truncate very long selections (typical: 2000-4000 tokens)","Rewriting quality varies by tone/style — no documentation on supported transformation types or accuracy benchmarks","Cannot edit text within iframe-embedded editors (common in web apps) without explicit permission declarations","No version control or undo history for rewrites — users must manually track changes","Tone transformation may not preserve domain-specific terminology or brand voice without custom training","Diff analysis limited to text — cannot compare images or formatted content","Semantic similarity detection may miss paraphrased content — no documentation on similarity algorithm","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.35,"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":"2026-05-24T12:16:31.445Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=intentseek","compare_url":"https://unfragile.ai/compare?artifact=intentseek"}},"signature":"ss2eVuDBJQIUVNkvs4aijH1H0XVak+/f1XO5ZJDWTJQuxhXUughSbTe1CUBXarNlZCtxF4kxYrFrBfi8co+hBQ==","signedAt":"2026-06-20T18:25:51.490Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/intentseek","artifact":"https://unfragile.ai/intentseek","verify":"https://unfragile.ai/api/v1/verify?slug=intentseek","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"}}