{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_marketalerts-ai","slug":"marketalerts-ai","name":"MarketAlerts.ai","type":"product","url":"https://www.marketalerts.com","page_url":"https://unfragile.ai/marketalerts-ai","categories":["data-analysis"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_marketalerts-ai__cap_0","uri":"capability://automation.workflow.real.time.market.event.detection.and.alert.routing","name":"real-time market event detection and alert routing","description":"Monitors continuous market data streams (price ticks, volume changes, sector movements) using pattern-matching rules against user-defined thresholds, then routes triggered alerts through multiple channels (push notifications, email, SMS, webhook) with sub-second latency. Implements event-driven architecture with streaming data ingestion from exchanges and data providers, filtering at the edge before alert generation to reduce false positives.","intents":["I need to be notified instantly when a stock breaks above/below a price level without checking the platform manually","I want alerts on unusual volume spikes in my watchlist to catch momentum shifts early","I need multi-channel alert delivery so I don't miss critical moves while away from my desk"],"best_for":["active retail traders monitoring 10-100 positions simultaneously","small hedge funds needing affordable real-time monitoring without Bloomberg terminal costs","day traders requiring sub-second alert latency for intraday opportunities"],"limitations":["Alert latency depends on data provider feed speed—typically 100-500ms behind live market prices, not true tick-level execution","No built-in alert deduplication for correlated events, can generate alert storms during volatile market opens","Webhook delivery is fire-and-forget with no guaranteed delivery semantics—requires external retry logic for mission-critical workflows"],"requires":["Active internet connection with stable bandwidth (minimum 1 Mbps recommended)","Valid API key or OAuth token from supported data providers (Alpha Vantage, IEX Cloud, or proprietary feed)","Mobile device or email account for multi-channel alert delivery"],"input_types":["numeric thresholds (price levels, percentage changes)","categorical filters (sector, asset class, market cap)","time-based parameters (trading hours, quiet hours)"],"output_types":["push notifications (iOS/Android)","email alerts with market context","SMS for critical thresholds","webhook JSON payloads for downstream automation"],"categories":["automation-workflow","real-time-monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_1","uri":"capability://memory.knowledge.customizable.multi.asset.watchlist.management.with.persistence","name":"customizable multi-asset watchlist management with persistence","description":"Provides a unified interface to create, organize, and persist watchlists across stocks, cryptocurrencies, commodities, and forex pairs with tag-based grouping and sorting. Stores watchlist state in a user-scoped database with real-time synchronization across web and mobile clients, enabling seamless switching between devices while maintaining alert configurations tied to each watchlist.","intents":["I want to organize my 50+ positions into sector-based watchlists without duplicating alert rules","I need my watchlist to sync across my phone and desktop so I see the same positions everywhere","I want to quickly switch between different trading strategies (swing trading vs day trading watchlists) without recreating alerts"],"best_for":["traders managing multiple concurrent strategies with different asset classes","portfolio managers needing to segment positions by risk profile or sector","users switching between mobile and desktop platforms throughout the day"],"limitations":["Watchlist size is typically capped at 500-1000 symbols per user to maintain UI responsiveness, requiring manual archiving of inactive positions","Real-time sync latency between devices can be 2-5 seconds during high-traffic periods, causing temporary inconsistencies","No built-in version control or rollback for watchlist changes—accidental deletions require manual recovery from backups"],"requires":["User account with email verification","Modern web browser (Chrome 90+, Safari 14+, Firefox 88+) or native mobile app (iOS 13+, Android 8+)","Stable internet connection for real-time synchronization"],"input_types":["ticker symbols (text input with autocomplete)","CSV import for bulk watchlist creation","manual drag-and-drop reordering"],"output_types":["JSON watchlist export for backup or migration","CSV export for external analysis","real-time watchlist state via WebSocket for connected clients"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_2","uri":"capability://planning.reasoning.ai.powered.market.noise.filtering.and.signal.relevance.ranking","name":"ai-powered market noise filtering and signal relevance ranking","description":"Applies machine learning models trained on historical alert accuracy to score incoming market events by relevance to each user's trading style and past behavior. Filters out statistically low-probability false signals (e.g., penny stock volume spikes with no follow-through) and re-ranks alerts by predicted impact on user's portfolio, reducing alert fatigue by 60-80% while preserving true opportunities.","intents":["I get too many false alerts and want the system to learn which types of moves actually matter for my trading","I want alerts prioritized by impact on my specific portfolio, not generic market events","I need to reduce notification noise without missing the 5-10 high-conviction setups per week"],"best_for":["active traders with 3+ months of trading history to train personalized models","users managing concentrated portfolios where sector-specific signals are more relevant than broad market moves","traders willing to provide feedback on alert quality to improve model accuracy over time"],"limitations":["Model accuracy requires minimum 500-1000 historical alerts per user; new users see generic filtering for first 2-4 weeks","Feedback loop is asynchronous—model retraining happens daily, so today's feedback doesn't affect tomorrow's alerts immediately","Cannot distinguish between legitimate low-probability events and true false signals, leading to occasional suppression of rare but valid opportunities","Model bias toward user's past behavior may cause it to miss emerging trading patterns or regime changes"],"requires":["Minimum 3 months of trading activity or alert history on the platform","User permission to analyze trading outcomes and alert performance","Continuous internet connection for real-time model inference"],"input_types":["historical alert data (timestamps, thresholds, asset class)","user trading outcomes (filled orders, P&L impact)","explicit feedback (user marks alerts as 'useful' or 'noise')"],"output_types":["relevance scores (0-100) for each alert","re-ranked alert queue prioritized by predicted user impact","confidence intervals on signal quality"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_3","uri":"capability://data.processing.analysis.multi.asset.real.time.price.and.market.data.aggregation","name":"multi-asset real-time price and market data aggregation","description":"Consolidates live market data from multiple exchanges and data providers (stock exchanges, crypto exchanges, commodity futures, forex brokers) into a unified normalized data model, handling format translation, timestamp alignment, and data quality validation. Implements a data aggregation layer that deduplicates prices across sources, selects authoritative feeds per asset class, and backfills gaps when primary feeds lag.","intents":["I want to see stock, crypto, and commodity prices in one dashboard without switching between platforms","I need accurate prices across different exchanges (e.g., NYSE vs NASDAQ for stocks, Binance vs Kraken for crypto)","I want to ensure I'm seeing the best bid/ask prices across all available sources for execution decisions"],"best_for":["traders managing diversified portfolios across multiple asset classes","arbitrage traders comparing prices across exchanges","portfolio managers needing consolidated market views for risk assessment"],"limitations":["Data latency varies by asset class: stocks typically 15-100ms behind live, crypto 50-500ms, commodities 100-1000ms depending on exchange","Forex data may be delayed 1-5 minutes on free tiers; real-time forex requires premium data subscriptions","Price discrepancies between exchanges are normal and not automatically reconciled—user must decide which source to trust","Backfill logic can introduce stale data during exchange outages, showing prices that don't reflect current market conditions"],"requires":["API keys or OAuth tokens from multiple data providers (Alpha Vantage, IEX Cloud, CoinGecko, etc.)","Sufficient API rate limits to support real-time updates (typically 100-1000 requests/minute)","Network bandwidth for continuous streaming data (1-5 Mbps depending on watchlist size)"],"input_types":["ticker symbols and exchange codes (e.g., 'AAPL:NASDAQ', 'BTC:BINANCE')","asset class filters (stocks, crypto, commodities, forex)","time intervals for historical data (1m, 5m, 1h, 1d candles)"],"output_types":["real-time price ticks with bid/ask spreads","OHLCV candles (open, high, low, close, volume) at multiple intervals","market depth data (order book snapshots) for crypto and futures","normalized JSON or WebSocket streams for downstream consumption"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_4","uri":"capability://planning.reasoning.sector.and.thematic.market.trend.analysis.with.ai.insights","name":"sector and thematic market trend analysis with ai insights","description":"Analyzes aggregate price movements, volume patterns, and sentiment signals across sector groupings and thematic categories (e.g., 'renewable energy', 'AI infrastructure') to identify emerging trends and sector rotation opportunities. Uses NLP on financial news, social media, and earnings transcripts combined with technical analysis to surface macro-level insights that contextualize individual stock alerts.","intents":["I want to understand which sectors are rotating in/out of favor to adjust my portfolio positioning","I need to see if a stock alert is part of a broader sector trend or an isolated move","I want AI-generated insights on emerging themes (e.g., 'semiconductor supply chain stress') without reading 100 news articles"],"best_for":["swing traders and position traders making multi-day/week bets on sector rotations","portfolio managers rebalancing across sectors based on macro trends","traders wanting thematic exposure (e.g., 'AI infrastructure') without picking individual stocks"],"limitations":["Trend analysis lags real-time price action by 1-4 hours due to NLP processing and data aggregation delays","AI insights are reactive summaries of recent moves, not predictive—they identify trends after they've already started moving","Thematic groupings are predefined by the platform; custom themes require manual curation or API access","Sentiment analysis from social media and news is noisy and prone to false signals during volatile periods"],"requires":["Access to financial news feeds (Reuters, Bloomberg, MarketWatch APIs)","NLP model inference capability (typically cloud-based, adds 500ms-2s latency per analysis)","Historical price and volume data for sector constituents"],"input_types":["sector/thematic category selection (predefined list or custom tags)","time windows for trend analysis (1d, 1w, 1m, 3m)","sentiment sources (news, social media, earnings calls)"],"output_types":["sector performance heatmaps (visual ranking of gainers/losers)","trend strength scores (0-100) with confidence intervals","AI-generated narrative summaries (2-3 paragraphs per sector)","constituent stock lists ranked by trend alignment"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_5","uri":"capability://tool.use.integration.webhook.and.api.integration.for.external.workflow.automation","name":"webhook and api integration for external workflow automation","description":"Exposes REST and webhook APIs that allow external systems (trading bots, portfolio management tools, risk systems) to subscribe to alerts and trigger automated actions. Implements schema-based event payloads with rich context (price, volume, sector, trend data) and supports both push (webhooks) and pull (REST polling) patterns for flexible integration with downstream systems.","intents":["I want to automatically execute trades or hedge positions when specific alerts fire without manual intervention","I need to feed MarketAlerts data into my custom trading bot or risk management system","I want to log all alerts to my data warehouse for backtesting and analysis"],"best_for":["developers building custom trading bots or algorithmic systems","teams integrating MarketAlerts into existing fintech stacks (portfolio managers, risk systems)","traders using no-code automation platforms (Zapier, Make) to connect alerts to other tools"],"limitations":["Webhook delivery is fire-and-forget with no guaranteed delivery semantics—requires external retry logic and idempotency handling","API rate limits (typically 100-1000 requests/minute) may throttle high-frequency polling or large bulk operations","Webhook payloads are limited to ~10KB, requiring pagination or compression for large datasets","No built-in authentication beyond API keys—requires HTTPS and IP whitelisting for security, no OAuth 2.0 support"],"requires":["API key provisioned from MarketAlerts account settings","HTTPS endpoint (for webhooks) or HTTP client (for REST polling)","Understanding of JSON schema and REST conventions","Ability to handle asynchronous events and implement retry logic"],"input_types":["webhook subscription requests (URL, event types, filters)","REST API queries (ticker, date range, alert type)","authentication headers (API key)"],"output_types":["JSON webhook payloads with alert details (price, volume, trend context)","REST API responses with structured alert history","HTTP status codes and error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_6","uri":"capability://planning.reasoning.portfolio.aware.alert.contextualization.and.impact.scoring","name":"portfolio-aware alert contextualization and impact scoring","description":"Analyzes incoming alerts against the user's actual portfolio holdings to calculate predicted P&L impact, correlation with existing positions, and portfolio-level risk implications. Scores alerts by relevance to the user's specific portfolio rather than generic market significance, enabling prioritization of moves that actually matter for their positions.","intents":["I want alerts ranked by how much they could impact my portfolio, not just market-wide significance","I need to understand if an alert on a correlated holding will amplify or hedge my existing risk","I want to see estimated P&L impact of a move before deciding whether to act on an alert"],"best_for":["portfolio managers and hedge funds with concentrated positions needing risk-aware alerting","traders managing correlated positions (e.g., long tech, short semiconductor suppliers) who need to understand hedging dynamics","users with multi-asset portfolios wanting to see cross-asset correlation impacts"],"limitations":["Impact scoring requires real-time portfolio data (holdings, quantities, entry prices), which must be manually entered or synced from brokers—not all brokers support API access","Correlation estimates are based on historical data and may break down during market regime changes or black swan events","P&L impact estimates assume linear price relationships and don't account for options Greeks, leverage, or margin requirements","Portfolio data is sensitive and requires secure storage; users must trust the platform with position-level information"],"requires":["User portfolio data (holdings, quantities, entry prices, cost basis)","Broker API integration (Alpaca, Interactive Brokers, etc.) or manual portfolio upload","Historical correlation data for all holdings (typically 1-3 years of price history)"],"input_types":["portfolio holdings (ticker, quantity, entry price)","portfolio import from broker APIs or CSV upload","risk parameters (portfolio beta, sector exposure limits)"],"output_types":["impact scores (0-100) for each alert relative to portfolio","estimated P&L impact (dollar amount and percentage)","correlation analysis showing which holdings are affected","portfolio-level risk metrics (VaR, sector concentration) after alert"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_7","uri":"capability://data.processing.analysis.historical.alert.performance.tracking.and.backtesting","name":"historical alert performance tracking and backtesting","description":"Logs all generated alerts with outcomes (whether the predicted move occurred, magnitude, timing) and provides backtesting tools to evaluate alert quality and strategy performance over time. Enables users to analyze which alert types, thresholds, and conditions have historically generated profitable signals, supporting iterative refinement of alert parameters.","intents":["I want to see which of my alert rules actually led to profitable trades vs false signals","I need to backtest different alert thresholds to find the optimal sensitivity for my trading style","I want to measure the statistical edge of my alert-based strategy before deploying real capital"],"best_for":["systematic traders building data-driven alert strategies","traders wanting to validate alert rules before live trading","researchers analyzing market microstructure and signal quality"],"limitations":["Backtesting assumes perfect execution at alert prices, ignoring slippage, commissions, and market impact—real results will be worse","Historical data is limited to the period the user has been on the platform (typically 3-24 months), insufficient for long-term statistical significance","Survivorship bias: only alerts that were actually generated are included; can't backtest hypothetical rules that weren't active","Correlation between alert quality and market regime is not accounted for—strategies that worked in bull markets may fail in bear markets"],"requires":["Minimum 3-6 months of alert history on the platform","Actual trading outcomes (filled orders, P&L) linked to alerts for outcome tracking","Historical price data for backtesting period"],"input_types":["alert rule definitions (thresholds, conditions, asset classes)","date range for backtesting","execution assumptions (slippage, commissions)"],"output_types":["win rate and profit factor for each alert rule","equity curve showing cumulative P&L from alerts","distribution of alert outcomes (false positives, true positives, magnitude)","statistical significance tests (Sharpe ratio, max drawdown, etc.)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_marketalerts-ai__cap_8","uri":"capability://automation.workflow.mobile.push.notification.delivery.with.rich.formatting","name":"mobile push notification delivery with rich formatting","description":"Delivers time-sensitive alerts to iOS and Android devices via push notifications with rich formatting (images, action buttons, expandable content) and deep linking to relevant market data within the app. Implements notification scheduling to respect user quiet hours and batching logic to prevent notification storms during volatile market periods.","intents":["I need to receive alerts on my phone instantly even when the app is closed, so I don't miss critical moves","I want to see market context (chart, sector trend) directly in the notification without opening the app","I want to set quiet hours so I'm not bombarded with alerts during sleep or focus time"],"best_for":["mobile-first traders who spend time away from their desk","traders needing instant notification delivery for time-sensitive opportunities","users managing multiple watchlists and wanting to filter notifications by priority"],"limitations":["Push notification delivery latency is 1-5 seconds due to OS batching and network conditions, not suitable for ultra-high-frequency trading","Users can disable notifications at the OS level, and some devices (older Android, enterprise-managed phones) have stricter notification policies","Rich notification formatting (images, buttons) is limited by OS capabilities—iOS and Android have different feature sets","Notification fatigue is a real risk; even with batching, active traders can receive 50-200 notifications per day during volatile markets"],"requires":["iOS 13+ or Android 8+ device with push notification permissions enabled","MarketAlerts mobile app installed and logged in","Stable cellular or WiFi connection"],"input_types":["alert rules with notification preferences (enabled/disabled, quiet hours)","notification priority levels (critical, high, normal, low)","batching preferences (immediate, 5-min batch, 15-min batch)"],"output_types":["push notifications with title, body, and optional image","action buttons (e.g., 'View Chart', 'Add to Watchlist')","deep links to relevant screens within the app"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Active internet connection with stable bandwidth (minimum 1 Mbps recommended)","Valid API key or OAuth token from supported data providers (Alpha Vantage, IEX Cloud, or proprietary feed)","Mobile device or email account for multi-channel alert delivery","User account with email verification","Modern web browser (Chrome 90+, Safari 14+, Firefox 88+) or native mobile app (iOS 13+, Android 8+)","Stable internet connection for real-time synchronization","Minimum 3 months of trading activity or alert history on the platform","User permission to analyze trading outcomes and alert performance","Continuous internet connection for real-time model inference","API keys or OAuth tokens from multiple data providers (Alpha Vantage, IEX Cloud, CoinGecko, etc.)"],"failure_modes":["Alert latency depends on data provider feed speed—typically 100-500ms behind live market prices, not true tick-level execution","No built-in alert deduplication for correlated events, can generate alert storms during volatile market opens","Webhook delivery is fire-and-forget with no guaranteed delivery semantics—requires external retry logic for mission-critical workflows","Watchlist size is typically capped at 500-1000 symbols per user to maintain UI responsiveness, requiring manual archiving of inactive positions","Real-time sync latency between devices can be 2-5 seconds during high-traffic periods, causing temporary inconsistencies","No built-in version control or rollback for watchlist changes—accidental deletions require manual recovery from backups","Model accuracy requires minimum 500-1000 historical alerts per user; new users see generic filtering for first 2-4 weeks","Feedback loop is asynchronous—model retraining happens daily, so today's feedback doesn't affect tomorrow's alerts immediately","Cannot distinguish between legitimate low-probability events and true false signals, leading to occasional suppression of rare but valid opportunities","Model bias toward user's past behavior may cause it to miss emerging trading patterns or regime changes","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.25,"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":"2026-04-05T13:23:42.551Z","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=marketalerts-ai","compare_url":"https://unfragile.ai/compare?artifact=marketalerts-ai"}},"signature":"/nJybMmLEYed+2RlBWcX5GXzPx4Ei/o6A1kFvs0iqwDYQTb87aOJ6iDLAQeU6hcnJAhIYKnYZNhL/zqG+joiAg==","signedAt":"2026-06-20T09:49:50.491Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/marketalerts-ai","artifact":"https://unfragile.ai/marketalerts-ai","verify":"https://unfragile.ai/api/v1/verify?slug=marketalerts-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"}}