{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_crowdview","slug":"crowdview","name":"CrowdView","type":"product","url":"https://crowdview.ai","page_url":"https://unfragile.ai/crowdview","categories":["research-search"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_crowdview__cap_0","uri":"capability://search.retrieval.real.time.forum.content.indexing.and.crawling","name":"real-time forum content indexing and crawling","description":"Continuously crawls and indexes forum discussions across supported communities using distributed web scraping with real-time update pipelines. The system maintains a searchable index of forum threads, posts, and metadata (timestamps, authors, vote counts) enabling sub-second retrieval of recent discussions without requiring users to manually visit forum sites. Implements incremental indexing to capture new posts and threads as they appear rather than full re-crawls.","intents":["Find recent discussions about a product or topic across multiple forums without visiting each site individually","Identify when a specific issue or feature request was last discussed in community forums","Monitor emerging conversations in real-time as they happen across indexed communities"],"best_for":["Product managers tracking user feedback across Reddit, Stack Overflow, and niche communities","Competitive analysts monitoring competitor mentions and discussions","Community managers identifying trending topics before they go viral"],"limitations":["Coverage limited to explicitly indexed forums — niche or private communities not included","Crawl frequency and freshness depend on infrastructure capacity; real-time may mean 5-30 minute lag","No access to deleted or archived threads unless cached before deletion","Rate-limited by forum robots.txt and terms-of-service compliance requirements"],"requires":["Internet connectivity for real-time data retrieval","No API keys or authentication required for free tier","Modern web browser with JavaScript support"],"input_types":["text search queries","keywords and phrases","topic names"],"output_types":["ranked list of forum threads with snippets","metadata (post date, author, forum source, engagement metrics)","structured thread summaries"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crowdview__cap_1","uri":"capability://text.generation.language.ai.powered.forum.discussion.synthesis.and.summarization","name":"ai-powered forum discussion synthesis and summarization","description":"Uses large language models to analyze and synthesize multi-threaded forum discussions into coherent summaries that capture key arguments, consensus, and dissenting opinions. The system processes entire conversation threads (including nested replies and context) through an LLM pipeline that extracts themes, identifies the main question being discussed, and generates a concise summary without losing important nuance. Implements context windowing to handle long threads that exceed token limits.","intents":["Quickly understand the consensus and key arguments in a 50+ post thread without reading every reply","Extract the core problem and proposed solutions from messy forum discussions","Identify minority opinions and edge cases mentioned in forum threads"],"best_for":["Product researchers who need to synthesize community feedback quickly","Technical writers documenting common issues from forum discussions","Investors evaluating market sentiment from community discussions"],"limitations":["Summarization quality depends on LLM accuracy — may miss subtle context or misinterpret sarcasm","Long threads (500+ posts) may be truncated or lose detail due to token limits","No ability to distinguish between expert and novice opinions in summaries","Hallucination risk if LLM generates plausible-sounding but incorrect synthesis"],"requires":["Access to LLM API (likely OpenAI, Anthropic, or similar — not specified in product docs)","Forum thread must be indexed and accessible through CrowdView's search"],"input_types":["forum thread URLs or IDs","raw forum discussion text"],"output_types":["text summaries (paragraph format)","structured summaries (key points as bullet lists)","sentiment indicators"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crowdview__cap_2","uri":"capability://data.processing.analysis.sentiment.and.trend.analysis.across.forum.communities","name":"sentiment and trend analysis across forum communities","description":"Analyzes sentiment polarity and emotional tone across forum discussions using NLP classifiers, then aggregates sentiment signals across multiple forums to identify emerging trends and shifts in community opinion. The system tracks sentiment over time (e.g., 'sentiment toward Feature X has shifted from 60% positive to 40% positive in the last week') and correlates sentiment changes with external events or product releases. Implements multi-forum aggregation to surface trends that might be invisible in a single community.","intents":["Track whether community sentiment toward a product feature is improving or deteriorating over time","Identify emerging complaints or praise before they become widespread","Correlate sentiment shifts with product releases, announcements, or external events"],"best_for":["Product managers monitoring user satisfaction trends","Marketing teams identifying messaging opportunities based on community sentiment","Competitive analysts tracking sentiment toward competitor products"],"limitations":["Sentiment analysis struggles with sarcasm, irony, and context-dependent language common in forums","Aggregation across forums may mask important community-specific sentiment (e.g., Reddit vs Stack Overflow have different tones)","No distinction between sentiment from power users vs casual users — all votes weighted equally","Trend detection requires sufficient volume; niche topics may show false trends from small sample sizes"],"requires":["Minimum historical data (typically 2+ weeks) to establish baseline sentiment","Forums must have sufficient discussion volume for statistical significance"],"input_types":["topic or keyword","date range for trend analysis","optional: specific forums to include/exclude"],"output_types":["sentiment score (0-100 or -1 to +1 scale)","trend graphs (sentiment over time)","breakdown by sentiment category (positive/neutral/negative)","key phrases driving sentiment"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crowdview__cap_3","uri":"capability://search.retrieval.semantic.search.with.natural.language.queries","name":"semantic search with natural language queries","description":"Converts natural language search queries into semantic embeddings and retrieves forum discussions based on meaning rather than keyword matching. The system uses dense vector representations (likely from models like sentence-transformers or OpenAI embeddings) to find discussions that address the same underlying question or topic even if they use different terminology. Implements re-ranking to surface the most relevant results after initial semantic retrieval.","intents":["Find forum discussions about 'database performance issues' even if they use terms like 'slow queries' or 'query optimization'","Search for discussions about a problem using plain English without needing to know exact forum terminology","Discover related discussions that don't share keywords but address the same underlying issue"],"best_for":["Non-technical users searching forums without knowledge of domain-specific terminology","Researchers looking for discussions about conceptually similar topics across different forums","Product teams finding user feedback about problems even when described in different language"],"limitations":["Semantic search requires embedding computation which adds latency (typically 100-500ms per query)","Embedding quality depends on training data — may misunderstand niche or domain-specific terminology","Cannot distinguish between 'how to do X' and 'why not to do X' if they share similar semantic space","Requires sufficient indexed content for meaningful semantic similarity; sparse forums may return irrelevant results"],"requires":["Embedding model API access (likely OpenAI, Hugging Face, or local model)","Pre-computed embeddings for all indexed forum content (requires significant storage)"],"input_types":["natural language search query (phrase or sentence)"],"output_types":["ranked list of forum discussions with relevance scores","snippets showing matching content","semantic similarity scores"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crowdview__cap_4","uri":"capability://data.processing.analysis.multi.forum.aggregation.and.deduplication","name":"multi-forum aggregation and deduplication","description":"Automatically detects and deduplicates discussions about the same topic across multiple forums (e.g., identifying that a Reddit thread and a Stack Overflow question are discussing the same bug). Uses semantic similarity and metadata matching to group related discussions, then presents them as a unified result with cross-references to each forum. Implements clustering algorithms to organize discussions by theme rather than forum source.","intents":["See all discussions about a topic across Reddit, Stack Overflow, and niche forums in one view","Identify which forums have the most active discussion about a specific issue","Understand how different communities are discussing the same problem differently"],"best_for":["Researchers needing a comprehensive view of community discussion across multiple platforms","Product teams identifying where their user base congregates and what they're discussing","Competitive analysts tracking how different communities perceive a competitor"],"limitations":["Deduplication accuracy depends on semantic similarity — may incorrectly group unrelated discussions or fail to group related ones","Cross-forum aggregation requires indexing multiple forums, which may have different crawl frequencies leading to stale results","Some forums may have different discussion norms or user bases, making aggregation misleading (e.g., Reddit vs professional forums)","No ability to handle discussions that span multiple forums (e.g., 'as discussed on Reddit...')"],"requires":["Multiple forums must be indexed in CrowdView's system","Sufficient discussion volume across forums for meaningful aggregation"],"input_types":["search query or topic","optional: specific forums to include/exclude"],"output_types":["grouped discussions by theme","forum distribution (which forums have most discussion)","cross-references between related discussions","aggregated metadata (total posts, date range, sentiment across forums)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crowdview__cap_5","uri":"capability://data.processing.analysis.user.expertise.and.credibility.scoring","name":"user expertise and credibility scoring","description":"Analyzes forum user profiles and contribution history to estimate expertise level and credibility for each discussion participant. The system considers factors like post count, upvote/downvote ratios, answer acceptance rates (on Stack Overflow), and historical accuracy of claims to assign credibility scores. Surfaces high-credibility opinions more prominently in search results and summaries, helping users distinguish expert advice from casual speculation.","intents":["Identify which forum participants are likely experts vs casual users when evaluating advice","Prioritize reading responses from high-credibility users in large discussion threads","Assess whether a solution was validated by experienced community members"],"best_for":["Technical decision-makers evaluating forum advice for implementation","Researchers assessing the reliability of community-sourced information","Product teams identifying power users and community leaders"],"limitations":["Credibility scoring based on public metrics may not reflect actual expertise (high-voted answers may be popular but wrong)","No access to user identity or credentials — cannot verify claimed expertise","Forum-specific metrics vary widely (Reddit karma vs Stack Overflow reputation have different meanings)","New users or users in niche communities may be highly credible but have low scores due to limited history","Credibility scores are relative to forum norms, not absolute expertise measures"],"requires":["User profile data and contribution history from indexed forums","Sufficient user activity to compute meaningful credibility scores"],"input_types":["forum discussion or thread"],"output_types":["credibility score per user (0-100 or percentile)","credibility indicators (badge, color coding)","user expertise tags (e.g., 'Python expert', 'DevOps')","contribution metrics (posts, upvotes, answer acceptance rate)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crowdview__cap_6","uri":"capability://data.processing.analysis.temporal.trend.analysis.and.historical.comparison","name":"temporal trend analysis and historical comparison","description":"Tracks how discussion topics, sentiment, and solutions evolve over time by analyzing forum data across multiple time periods. The system can show how community consensus has shifted (e.g., 'in 2020 everyone recommended X, but by 2023 Y became the standard'), identify when problems were introduced or resolved, and correlate discussion patterns with external events (product releases, security vulnerabilities). Implements time-series analysis to detect seasonal patterns or sudden shifts.","intents":["Understand how community recommendations for a technology have changed over the past 2 years","Identify when a bug was first reported and whether it's still being discussed","Correlate discussion volume spikes with product releases or announcements"],"best_for":["Product historians and analysts understanding how community perception evolved","Technical teams assessing whether old forum advice is still valid","Competitive analysts tracking how competitor perception has changed over time"],"limitations":["Historical data only available for forums indexed by CrowdView (no retroactive indexing of pre-2023 discussions unless already cached)","Temporal analysis requires sufficient data points across time periods — sparse forums may not show meaningful trends","External event correlation is manual (system can show correlation but not causation)","Forum data may be deleted or archived, creating gaps in historical analysis"],"requires":["Minimum 3+ months of indexed data to establish meaningful trends","Forums must have consistent discussion volume across time periods"],"input_types":["topic or keyword","date range for comparison","optional: external events to correlate with"],"output_types":["time-series graphs of discussion volume, sentiment, or solution popularity","before/after comparisons (e.g., 'most recommended solution in 2020 vs 2023')","trend annotations (when did consensus shift?)","seasonal pattern analysis"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crowdview__cap_7","uri":"capability://search.retrieval.question.answer.matching.and.solution.discovery","name":"question-answer matching and solution discovery","description":"Identifies forum discussions that answer a specific question by matching user queries against forum Q&A content (particularly Stack Overflow-style forums). The system understands question intent and retrieves discussions that provide solutions, workarounds, or relevant context. Implements answer ranking to surface the most complete and validated solutions first, considering factors like acceptance marks, upvotes, and recency.","intents":["Find the best answer to a technical question from forum discussions without posting a new question","Discover multiple solutions to a problem and compare their tradeoffs","Identify whether a question has been answered before posting a duplicate"],"best_for":["Developers solving technical problems quickly using community knowledge","Technical support teams finding solutions to common customer issues","Teams reducing duplicate questions by discovering existing answers"],"limitations":["Matching accuracy depends on question clarity — vague queries may return irrelevant answers","Answers may be outdated (e.g., 'use library X' when X is now deprecated)","No ability to verify whether an accepted answer is actually correct","Limited to forums with Q&A structure (Stack Overflow, etc.) — general discussion forums may not have clear answers","Context-dependent answers may not apply to the user's specific situation"],"requires":["Indexed forums with Q&A structure (Stack Overflow, etc.)","Clear question phrasing for accurate matching"],"input_types":["natural language question","optional: programming language or technology tags"],"output_types":["ranked list of answers with relevance scores","answer text and code snippets","metadata (upvotes, acceptance status, answer date)","related questions"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"low","permissions":["Internet connectivity for real-time data retrieval","No API keys or authentication required for free tier","Modern web browser with JavaScript support","Access to LLM API (likely OpenAI, Anthropic, or similar — not specified in product docs)","Forum thread must be indexed and accessible through CrowdView's search","Minimum historical data (typically 2+ weeks) to establish baseline sentiment","Forums must have sufficient discussion volume for statistical significance","Embedding model API access (likely OpenAI, Hugging Face, or local model)","Pre-computed embeddings for all indexed forum content (requires significant storage)","Multiple forums must be indexed in CrowdView's system"],"failure_modes":["Coverage limited to explicitly indexed forums — niche or private communities not included","Crawl frequency and freshness depend on infrastructure capacity; real-time may mean 5-30 minute lag","No access to deleted or archived threads unless cached before deletion","Rate-limited by forum robots.txt and terms-of-service compliance requirements","Summarization quality depends on LLM accuracy — may miss subtle context or misinterpret sarcasm","Long threads (500+ posts) may be truncated or lose detail due to token limits","No ability to distinguish between expert and novice opinions in summaries","Hallucination risk if LLM generates plausible-sounding but incorrect synthesis","Sentiment analysis struggles with sarcasm, irony, and context-dependent language common in forums","Aggregation across forums may mask important community-specific sentiment (e.g., Reddit vs Stack Overflow have different tones)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:30.282Z","last_scraped_at":"2026-04-05T13:23:42.561Z","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=crowdview","compare_url":"https://unfragile.ai/compare?artifact=crowdview"}},"signature":"DfCXV2BckWATgYIgPdO8+mX1fw/72EsJkuTjYAXbsxwDjevp6c2dgR64wOqVjX/uIRAujsR2suX5n9Xcek5lCw==","signedAt":"2026-06-20T12:49:53.841Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/crowdview","artifact":"https://unfragile.ai/crowdview","verify":"https://unfragile.ai/api/v1/verify?slug=crowdview","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"}}