{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_potato","slug":"potato","name":"Potato","type":"product","url":"https://potato.trade","page_url":"https://unfragile.ai/potato","categories":["data-analysis"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_potato__cap_0","uri":"capability://data.processing.analysis.real.time.market.data.ingestion.and.normalization","name":"real-time market data ingestion and normalization","description":"Potato ingests live market feeds from multiple exchanges (likely via WebSocket connections to broker APIs like Alpaca, Interactive Brokers, or crypto exchanges) and normalizes heterogeneous data formats into a unified internal schema for downstream analysis. This enables the platform to handle ticker updates, order book snapshots, and trade executions across asset classes with consistent latency and data integrity guarantees.","intents":["I need to monitor price movements across multiple assets without manually polling different exchange APIs","I want my trading signals to react to market data within milliseconds of price changes","I need to ensure my automated system receives consistent, deduplicated market data across multiple broker connections"],"best_for":["Retail traders automating strategies across multiple asset classes (stocks, crypto, forex)","Teams building multi-broker trading systems without building their own data normalization layer"],"limitations":["Real-time latency depends on broker API tier — freemium tier likely has 1-5 second delays vs institutional sub-millisecond feeds","Data normalization overhead adds ~50-200ms per tick depending on number of connected brokers","No explicit mention of handling exchange downtime, data gaps, or failover mechanisms"],"requires":["Active brokerage account with API access (Alpaca, Interactive Brokers, or crypto exchange)","Internet connection with stable uptime for WebSocket persistence","API credentials stored securely in Potato's backend"],"input_types":["WebSocket streams from broker APIs","REST polling fallback for historical data","User-selected asset symbols and watchlists"],"output_types":["Normalized tick data (price, volume, bid/ask spreads)","Aggregated market snapshots","Real-time dashboard updates"],"categories":["data-processing-analysis","real-time-streaming"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_potato__cap_1","uri":"capability://automation.workflow.rule.based.strategy.automation.with.condition.action.execution","name":"rule-based strategy automation with condition-action execution","description":"Potato allows users to define trading strategies as declarative rules (e.g., 'if RSI > 70 then sell 10% of position') without coding, likely using a visual rule builder or domain-specific language that compiles to executable logic. The engine evaluates conditions against real-time market data and executes corresponding actions (buy/sell orders) with configurable delays and order types, enabling non-technical traders to automate complex decision trees.","intents":["I want to automate my trading strategy without learning Python or writing code","I need to execute buy/sell orders automatically when specific technical indicators cross thresholds","I want to test different rule combinations quickly without redeploying code"],"best_for":["Intermediate traders with defined strategies but no programming background","Active traders who want to remove emotional decision-making from execution"],"limitations":["Rule-based systems cannot express complex multi-step logic or state machines — limited to if-then-else patterns","No backtesting capability mentioned, so users cannot validate rules against historical data before live trading","Latency between condition evaluation and order execution depends on Potato's infrastructure — likely 100-500ms vs sub-10ms for institutional systems","No support for custom indicators or machine learning models — restricted to built-in technical indicators"],"requires":["Basic understanding of technical indicators (RSI, MACD, moving averages, etc.)","Active trading account with order execution permissions","Minimum account balance per broker (typically $500-$2000 for day trading)"],"input_types":["Visual rule builder selections (indicator, operator, threshold)","Text-based rule definitions (if available)","Real-time market data streams"],"output_types":["Executable trading rules (compiled to internal format)","Order execution logs","Trade history with entry/exit prices"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_potato__cap_2","uri":"capability://safety.moderation.position.level.risk.management.with.automated.safeguards","name":"position-level risk management with automated safeguards","description":"Potato enforces risk constraints at the position level through configurable parameters like maximum position size (as % of portfolio), stop-loss orders, and take-profit levels that automatically execute when triggered. The system likely maintains a position ledger that tracks open trades and prevents new orders from violating risk thresholds, reducing catastrophic losses from over-leveraging or runaway positions.","intents":["I want to ensure no single trade can lose more than 2% of my portfolio","I need automatic stop-loss orders placed immediately after entry to cap downside risk","I want to prevent myself from over-leveraging or opening positions larger than my risk tolerance allows"],"best_for":["Retail traders without institutional risk management infrastructure","Automated strategy users who want guardrails against catastrophic losses"],"limitations":["Stop-loss orders may not execute at specified price during market gaps or flash crashes — execution price can be significantly worse","Risk calculations assume linear portfolio behavior — does not account for correlation between positions or tail risk","No portfolio-level risk aggregation mentioned — only per-position limits, missing systemic risk exposure","Freemium tier may have limited number of concurrent positions or risk rules"],"requires":["Understanding of basic risk management concepts (position sizing, stop-loss, risk-reward ratios)","Broker support for stop-loss and take-profit order types","Sufficient account balance to meet broker margin requirements"],"input_types":["User-configured risk parameters (max position size %, stop-loss %, take-profit %)","Real-time position data (entry price, current price, quantity)","Market data for stop-loss trigger evaluation"],"output_types":["Validated order requests (rejected if violating risk limits)","Automatic stop-loss and take-profit orders","Risk dashboard showing current exposure and remaining risk budget"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_potato__cap_3","uri":"capability://data.processing.analysis.real.time.strategy.performance.monitoring.and.dashboard.visualization","name":"real-time strategy performance monitoring and dashboard visualization","description":"Potato provides a live dashboard that displays key performance metrics (P&L, win rate, Sharpe ratio, drawdown) and trade history with entry/exit prices, allowing traders to monitor strategy execution without manual spreadsheet tracking. The dashboard likely updates in real-time as trades execute and market prices move, using WebSocket connections to push updates to the frontend rather than polling.","intents":["I want to see my strategy's P&L and performance metrics update in real-time without refreshing the page","I need to quickly review my recent trades to understand what's working and what isn't","I want to monitor my strategy's drawdown and win rate to ensure it's performing as expected"],"best_for":["Active traders who monitor their strategies during market hours","Strategy developers iterating on rule definitions and wanting quick feedback on performance"],"limitations":["Dashboard metrics are only as accurate as the underlying trade data — no mention of reconciliation with broker statements","Real-time P&L calculations may lag actual broker positions by seconds to minutes depending on data sync frequency","No mention of historical performance analytics or backtesting integration — cannot compare live performance to historical simulations","Freemium tier may have limited metric granularity or update frequency"],"requires":["Active trading account with live positions","Modern web browser with WebSocket support","Stable internet connection for real-time updates"],"input_types":["Real-time trade execution events","Market price updates","Position data from broker"],"output_types":["Live P&L and performance metrics","Trade history table with entry/exit details","Performance charts (equity curve, drawdown, win rate over time)"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_potato__cap_4","uri":"capability://tool.use.integration.multi.broker.account.aggregation.and.unified.order.routing","name":"multi-broker account aggregation and unified order routing","description":"Potato abstracts away individual broker APIs and allows users to connect multiple brokerage accounts (Alpaca, Interactive Brokers, crypto exchanges, etc.) and route orders through a unified interface. The platform likely maintains a broker adapter layer that translates Potato's internal order format to each broker's specific API requirements, handling authentication, order validation, and execution status tracking across heterogeneous systems.","intents":["I want to run the same strategy across multiple broker accounts without duplicating rule definitions","I need to route orders to the broker with the best execution price or lowest fees for each trade","I want to consolidate my portfolio view across multiple brokers into a single dashboard"],"best_for":["Traders with accounts at multiple brokers seeking unified management","Strategy developers wanting to test strategies across different brokers without code changes"],"limitations":["Order routing logic is not transparent — unclear if Potato optimizes for execution price, latency, or fees","No mention of handling broker-specific order types or restrictions — may not support all order types across all brokers","Synchronization delays between brokers can cause position tracking inconsistencies — if one broker is slow to confirm fills, Potato's position ledger may diverge from reality","Requires managing API credentials for multiple brokers — security risk if Potato's backend is compromised"],"requires":["Active accounts at 2+ supported brokers (Alpaca, Interactive Brokers, crypto exchanges, etc.)","API keys or OAuth tokens for each broker stored in Potato","Sufficient permissions on each broker account for order execution"],"input_types":["Broker API credentials (API keys, OAuth tokens)","User-selected brokers for order routing","Trading rules and strategy definitions"],"output_types":["Unified order execution across multiple brokers","Aggregated position and balance data","Consolidated trade history"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_potato__cap_5","uri":"capability://data.processing.analysis.technical.indicator.calculation.and.real.time.signal.generation","name":"technical indicator calculation and real-time signal generation","description":"Potato calculates a library of technical indicators (RSI, MACD, moving averages, Bollinger Bands, etc.) from real-time price data and generates trading signals when indicators cross predefined thresholds. The calculation engine likely uses efficient windowed algorithms to compute indicators incrementally as new price bars arrive, avoiding expensive full recalculations on every tick.","intents":["I want to use standard technical indicators in my trading rules without implementing them myself","I need indicators to update in real-time as price data arrives so my signals are current","I want to combine multiple indicators (e.g., RSI + MACD) to filter false signals"],"best_for":["Technical traders familiar with indicator-based strategies","Traders wanting to avoid implementing indicator math or using external libraries"],"limitations":["Limited to built-in indicators — no support for custom indicators or user-defined formulas","Indicator accuracy depends on data quality and lookback period — gaps or missing data can produce incorrect values","No mention of indicator parameter optimization — users must manually tune periods (e.g., RSI length) without backtesting","Freemium tier may have limited indicator selection or update frequency"],"requires":["Understanding of technical indicator interpretation (what RSI > 70 means, etc.)","Real-time price data with sufficient history for indicator calculation (e.g., 200 bars for 200-period moving average)","Configured indicator parameters (periods, thresholds, etc.)"],"input_types":["Real-time OHLCV (open, high, low, close, volume) price data","User-selected indicators and parameters","Historical price data for indicator warmup"],"output_types":["Calculated indicator values (RSI, MACD, moving averages, etc.)","Trading signals (buy/sell when indicators cross thresholds)","Indicator visualization on charts"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_potato__cap_6","uri":"capability://automation.workflow.freemium.tier.with.paper.trading.and.risk.free.strategy.validation","name":"freemium tier with paper trading and risk-free strategy validation","description":"Potato offers a freemium model where users can define and test strategies using simulated (paper) trading without risking real capital. The paper trading engine simulates order execution against real market prices, allowing users to validate strategy logic and performance before enabling live trading with real money.","intents":["I want to test my trading strategy without risking real money first","I need to validate that my rules work as expected before going live","I want to try Potato's features without committing to a paid subscription"],"best_for":["New traders validating strategies before live trading","Traders evaluating Potato's platform before committing to premium tier"],"limitations":["Paper trading does not account for slippage, commissions, or market impact — live execution will differ from simulated results","No mention of backtesting capability — paper trading only simulates forward-looking execution, not historical performance","Freemium tier likely has limited features (fewer indicators, lower update frequency, limited concurrent strategies)","Paper trading results may be overly optimistic if Potato uses unrealistic execution assumptions (e.g., always filling at mid-price)"],"requires":["Potato account (free signup)","No real money or broker account required for paper trading"],"input_types":["Trading rules and strategy definitions","Real-time market data"],"output_types":["Simulated trade execution logs","Paper trading P&L and performance metrics","Comparison of paper vs live performance (if user upgrades)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Active brokerage account with API access (Alpaca, Interactive Brokers, or crypto exchange)","Internet connection with stable uptime for WebSocket persistence","API credentials stored securely in Potato's backend","Basic understanding of technical indicators (RSI, MACD, moving averages, etc.)","Active trading account with order execution permissions","Minimum account balance per broker (typically $500-$2000 for day trading)","Understanding of basic risk management concepts (position sizing, stop-loss, risk-reward ratios)","Broker support for stop-loss and take-profit order types","Sufficient account balance to meet broker margin requirements","Active trading account with live positions"],"failure_modes":["Real-time latency depends on broker API tier — freemium tier likely has 1-5 second delays vs institutional sub-millisecond feeds","Data normalization overhead adds ~50-200ms per tick depending on number of connected brokers","No explicit mention of handling exchange downtime, data gaps, or failover mechanisms","Rule-based systems cannot express complex multi-step logic or state machines — limited to if-then-else patterns","No backtesting capability mentioned, so users cannot validate rules against historical data before live trading","Latency between condition evaluation and order execution depends on Potato's infrastructure — likely 100-500ms vs sub-10ms for institutional systems","No support for custom indicators or machine learning models — restricted to built-in technical indicators","Stop-loss orders may not execute at specified price during market gaps or flash crashes — execution price can be significantly worse","Risk calculations assume linear portfolio behavior — does not account for correlation between positions or tail risk","No portfolio-level risk aggregation mentioned — only per-position limits, missing systemic risk exposure","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.2,"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":"2026-05-24T12:16:32.438Z","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=potato","compare_url":"https://unfragile.ai/compare?artifact=potato"}},"signature":"snx/V1/rCpGaLDF7zqQBlROOUJvU8ruV9Vzu0OzmoPe1epdb9ZraNjIw+OzWCoYSif7S9xIM3M6wa63iSKTLBw==","signedAt":"2026-06-19T12:22:13.483Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/potato","artifact":"https://unfragile.ai/potato","verify":"https://unfragile.ai/api/v1/verify?slug=potato","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"}}