{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_stocknews-ai","slug":"stocknews-ai","name":"Stocknews AI","type":"product","url":"https://stocknewsai.com","page_url":"https://unfragile.ai/stocknews-ai","categories":["data-analysis"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_stocknews-ai__cap_0","uri":"capability://search.retrieval.multi.source.financial.news.aggregation.with.real.time.ingestion","name":"multi-source financial news aggregation with real-time ingestion","description":"Stocknews AI continuously ingests and normalizes financial news from 100+ heterogeneous sources (news wires, financial blogs, social media, SEC filings platforms) into a unified feed. The system likely uses web scraping, RSS feed parsing, and API integrations to pull raw content, then applies NLP-based deduplication and timestamp normalization to surface unique stories across sources. Real-time ingestion means new articles appear within minutes of publication rather than hourly batch processing.","intents":["I want to see all relevant market news in one place without manually checking Bloomberg, Reuters, CNBC, and 50 other sites","I need to know immediately when news breaks about my portfolio companies before it's amplified by social media","I want to catch emerging stories before they become consensus narratives"],"best_for":["retail investors and traders managing portfolios without institutional data subscriptions","day traders and swing traders who need speed and breadth of sources","financial analysts building custom research workflows"],"limitations":["No visibility into source weighting or reliability scoring — treats a tweet and a Reuters wire equally in aggregation","Deduplication logic unknown; likely misses subtle variations of same story or creates false duplicates","Real-time ingestion adds latency for sources without APIs; RSS-based sources may lag by 5-15 minutes","No filtering for data quality, corrections, or retractions from original sources"],"requires":["Internet connection with stable bandwidth","Web browser (Chrome, Firefox, Safari, Edge)","No API key or authentication required for free tier"],"input_types":["RSS feeds","Web pages (via scraping)","News APIs (Reuters, AP, etc.)","Social media feeds (Twitter/X, Reddit)"],"output_types":["unified news feed (JSON or HTML)","article metadata (title, source, timestamp, URL)","normalized article text"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stocknews-ai__cap_1","uri":"capability://planning.reasoning.ai.driven.news.relevance.ranking.and.curation","name":"ai-driven news relevance ranking and curation","description":"Stocknews AI applies machine learning models to rank and filter aggregated news by relevance to investors. The system likely uses transformer-based embeddings (BERT, GPT-derived models) to compute semantic similarity between articles and user context, combined with heuristic signals (source authority, article age, mention frequency across sources) to surface market-moving stories. Curation reduces noise by deprioritizing duplicate coverage, press releases, and low-signal market chatter while elevating novel insights and consensus-shifting information.","intents":["I want to see only news that actually moves markets, not every mention of a stock ticker","I need the AI to filter out noise and show me the 10 most important stories instead of 500 articles","I want emerging narratives surfaced before they become consensus"],"best_for":["busy investors with limited time to read full news feeds","traders using news as a signal for short-term price movements","portfolio managers filtering for material events"],"limitations":["Curation algorithm is a black box — no transparency into what signals determine ranking (source credibility? sentiment? mention velocity?)","Risk of amplifying already-dominant narratives on social media rather than surfacing independent insights","No user customization of relevance criteria (e.g., 'show me only negative sentiment news' or 'prioritize small-cap stories')","Likely biased toward high-volume sources and popular tickers, disadvantaging emerging stories about less-covered companies","No A/B testing data published; unclear if AI ranking actually outperforms simple recency or mention-count sorting"],"requires":["Pre-trained language model (likely OpenAI GPT, Anthropic Claude, or open-source alternative)","Vector database for embedding storage and similarity search (Pinecone, Weaviate, or Milvus)","Historical training data of market-moving vs. noise articles (source unknown; may be proprietary or synthetic)"],"input_types":["aggregated article text and metadata","article embeddings (768-1536 dimensional vectors)","source metadata (domain authority, historical accuracy)"],"output_types":["ranked article list with relevance scores (0-1)","filtered feed (top N articles by relevance)","relevance explanation (optional; likely not provided)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stocknews-ai__cap_2","uri":"capability://search.retrieval.ticker.and.sector.agnostic.news.discovery","name":"ticker and sector-agnostic news discovery","description":"Stocknews AI surfaces news across all publicly traded companies and sectors without requiring users to pre-specify watchlists or interests. The system ingests news for the entire market universe and presents a global feed, allowing users to discover stories about companies they may not be actively tracking. This is distinct from watchlist-based systems (Bloomberg Terminal, E*TRADE) that require explicit ticker selection before news is shown.","intents":["I want to discover emerging stories about companies I'm not actively tracking","I need to see cross-sector trends (e.g., 'all semiconductor companies reporting supply chain issues')","I want to browse the market without pre-filtering by my portfolio"],"best_for":["exploratory investors researching new investment ideas","macro traders looking for sector-wide trends","financial journalists and researchers scanning for story angles"],"limitations":["No built-in filtering by sector, market cap, or geography — users must manually scan or use browser search to find relevant stories","Information overload: without customization, users see 500+ articles daily across all tickers, making it hard to focus","No saved watchlists or alerts for specific tickers — each session requires re-scanning the full feed","Difficult to track emerging stories about lesser-known companies that may not generate high-volume coverage"],"requires":["Access to comprehensive market data (all US-listed equities, likely; international coverage unclear)","Web crawler with coverage of all major financial news sources"],"input_types":["all publicly available financial news"],"output_types":["global news feed (all tickers and sectors)","article metadata with ticker mentions"],"categories":["search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stocknews-ai__cap_3","uri":"capability://automation.workflow.real.time.news.feed.streaming.to.web.interface","name":"real-time news feed streaming to web interface","description":"Stocknews AI delivers curated news to users via a continuously-updating web interface, likely using WebSocket connections or server-sent events (SSE) to push new articles to the browser as they are ingested and ranked. The feed updates in real-time without requiring page refreshes, enabling users to monitor breaking news as it happens. The interface likely includes basic sorting (recency, relevance) and search functionality.","intents":["I want to see breaking news appear in my feed instantly without refreshing the page","I need to monitor market-moving stories as they develop throughout the trading day","I want a live ticker-like experience for news instead of static snapshots"],"best_for":["day traders and active investors monitoring news during market hours","financial analysts who need real-time awareness of company developments","news junkies who want live market intelligence"],"limitations":["WebSocket/SSE connections may drop on unstable networks, causing missed articles","Real-time streaming adds server load; unclear if free tier has rate limits or throttling","No persistent history — articles may disappear from feed after N hours or when user refreshes","No offline mode; requires continuous internet connection to receive updates","Browser-based interface may be slower than native apps for high-frequency monitoring"],"requires":["Modern web browser with WebSocket support (Chrome 16+, Firefox 11+, Safari 7+, Edge 12+)","Stable internet connection with low latency (<500ms) for real-time feel","JavaScript enabled"],"input_types":["curated article stream (JSON or similar)"],"output_types":["HTML/CSS rendered news feed","real-time DOM updates via JavaScript"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stocknews-ai__cap_4","uri":"capability://search.retrieval.source.attribution.and.link.aggregation","name":"source attribution and link aggregation","description":"Stocknews AI preserves source attribution for each article, displaying the original news outlet (Reuters, Bloomberg, CNBC, etc.) and providing direct links to full articles. The system aggregates multiple sources covering the same story, allowing users to compare coverage across outlets. This enables readers to verify information, check for bias, and access full context from their preferred news source.","intents":["I want to know which news outlet broke a story and read the full article from my preferred source","I want to see how different outlets are covering the same story to understand different perspectives","I want to verify a story is real by checking multiple sources"],"best_for":["investors who want to verify news before making trading decisions","researchers comparing media coverage across outlets","users with preferences for specific news sources (e.g., 'I trust Reuters more than blogs')"],"limitations":["No source credibility scoring — a tweet and a Reuters wire are attributed equally","Link rot: original articles may be paywalled, deleted, or moved, breaking attribution","No tracking of corrections or retractions from original sources","Aggregation logic unclear — may miss that multiple 'sources' are actually syndicated copies of the same article","No indication of which source broke the story vs. which are secondary coverage"],"requires":["Access to source URLs (via scraping or API)","Ability to preserve and display hyperlinks in web interface"],"input_types":["article URLs","source metadata (outlet name, domain)"],"output_types":["article with source attribution (text + hyperlink)","list of sources covering same story"],"categories":["search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stocknews-ai__cap_5","uri":"capability://automation.workflow.free.tier.access.without.authentication.or.paywall","name":"free-tier access without authentication or paywall","description":"Stocknews AI offers full access to its news aggregation and curation features without requiring account creation, login, or payment. Users can visit the website and immediately access the curated news feed. This removes friction compared to freemium models that gate features behind login or trial periods. The business model sustainability is unclear (likely ad-supported or data collection for training).","intents":["I want to check market news without creating an account or entering payment info","I want to try the service before committing to a subscription","I want free access to financial news without paying for Bloomberg Terminal or other premium services"],"best_for":["retail investors and traders who cannot afford premium financial data services","students and researchers exploring financial news","casual market observers who want occasional news access"],"limitations":["No account persistence — bookmarks, preferences, and reading history are not saved across sessions","Unclear monetization strategy suggests potential future paywall, feature gating, or data farming for model training","No premium tier with additional features (custom alerts, advanced filtering, API access) to upgrade to","Sustainability risk: free services often shut down or degrade when funding runs out","Likely ad-supported or data-harvesting model; user data may be collected for training or sold to third parties"],"requires":["No authentication required","No payment method required","Web browser"],"input_types":[],"output_types":["unrestricted access to news feed"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stocknews-ai__cap_6","uri":"capability://planning.reasoning.unknown.ai.curation.algorithm.and.ranking.methodology","name":"unknown ai curation algorithm and ranking methodology","description":"Stocknews AI applies an undisclosed AI curation algorithm to rank and filter news, but the system provides no transparency into how relevance is determined, what signals are weighted, or how the model was trained. Users cannot understand why certain articles are ranked higher, what data the model was trained on, or how to adjust curation to their preferences. This is a significant limitation for professional users who need to understand and potentially audit their information sources.","intents":["I want to understand why the AI ranked this article as relevant","I want to know if the curation algorithm has biases or blind spots","I want to adjust curation to my specific investment style or risk tolerance"],"best_for":["NOT suitable for professional investors or institutions requiring audit trails","NOT suitable for users who want to understand or customize ranking logic"],"limitations":["Complete black box — no explainability or interpretability of ranking decisions","No user customization of relevance criteria (sentiment, sector, market cap, etc.)","No published methodology, training data, or model architecture documentation","Risk of algorithmic bias (e.g., favoring high-volume sources, amplifying social media narratives)","No way to verify if curation actually outperforms simpler baselines (recency, mention count)","Impossible to audit for conflicts of interest or sponsored content"],"requires":["Trust in undisclosed algorithm"],"input_types":[],"output_types":[],"categories":["planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Internet connection with stable bandwidth","Web browser (Chrome, Firefox, Safari, Edge)","No API key or authentication required for free tier","Pre-trained language model (likely OpenAI GPT, Anthropic Claude, or open-source alternative)","Vector database for embedding storage and similarity search (Pinecone, Weaviate, or Milvus)","Historical training data of market-moving vs. noise articles (source unknown; may be proprietary or synthetic)","Access to comprehensive market data (all US-listed equities, likely; international coverage unclear)","Web crawler with coverage of all major financial news sources","Modern web browser with WebSocket support (Chrome 16+, Firefox 11+, Safari 7+, Edge 12+)","Stable internet connection with low latency (<500ms) for real-time feel"],"failure_modes":["No visibility into source weighting or reliability scoring — treats a tweet and a Reuters wire equally in aggregation","Deduplication logic unknown; likely misses subtle variations of same story or creates false duplicates","Real-time ingestion adds latency for sources without APIs; RSS-based sources may lag by 5-15 minutes","No filtering for data quality, corrections, or retractions from original sources","Curation algorithm is a black box — no transparency into what signals determine ranking (source credibility? sentiment? mention velocity?)","Risk of amplifying already-dominant narratives on social media rather than surfacing independent insights","No user customization of relevance criteria (e.g., 'show me only negative sentiment news' or 'prioritize small-cap stories')","Likely biased toward high-volume sources and popular tickers, disadvantaging emerging stories about less-covered companies","No A/B testing data published; unclear if AI ranking actually outperforms simple recency or mention-count sorting","No built-in filtering by sector, market cap, or geography — users must manually scan or use browser search to find relevant stories","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":"2026-05-24T12:16:33.648Z","last_scraped_at":"2026-04-05T13:23:42.559Z","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=stocknews-ai","compare_url":"https://unfragile.ai/compare?artifact=stocknews-ai"}},"signature":"r4mapn5IMVZtWaz/Tbydv8OjsrvBZCVO1Se+rLg0z5bFc54KicesNKd5poFwyApztRHGhToYUc44cGvZwBq4Dg==","signedAt":"2026-06-19T21:12:58.726Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/stocknews-ai","artifact":"https://unfragile.ai/stocknews-ai","verify":"https://unfragile.ai/api/v1/verify?slug=stocknews-ai","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"}}