{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_blackink","slug":"blackink","name":"BlackInk","type":"product","url":"https://blackink.ai","page_url":"https://unfragile.ai/blackink","categories":["data-analysis"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_blackink__cap_0","uri":"capability://analytics.real.time.predictive.model.generation","name":"real-time predictive model generation","description":"Automatically creates and updates predictive models as new data arrives, without requiring manual retraining or data science expertise. Models continuously learn from incoming data to maintain accuracy over time.","intents":["I want predictions that stay current without manual updates","I need forecasts that adapt as business conditions change","I want to avoid stale analysis from outdated models"],"best_for":["business analysts","operations managers","small-to-mid-size business decision-makers"],"limitations":["Prediction accuracy depends heavily on historical data quality and volume","Insufficient guidance on minimum dataset requirements for reliable predictions","May struggle with sparse or highly irregular data patterns"],"requires":["Structured historical data with temporal patterns","Consistent data quality and regular data updates","Clear target variable for prediction"],"input_types":["structured data","time-series data","CSV","database tables"],"output_types":["numerical predictions","confidence intervals","trend forecasts"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_blackink__cap_1","uri":"capability://productivity.no.code.dashboard.builder","name":"no-code dashboard builder","description":"Enables users to create interactive data visualizations and dashboards without writing SQL or Python code. Provides drag-and-drop interface for designing custom analytics views.","intents":["I want to visualize my data without learning SQL","I need to create custom dashboards quickly for stakeholders","I want non-technical team members to explore data independently"],"best_for":["non-technical business users","small teams","business analysts without coding skills"],"limitations":["Limited customization compared to code-based BI tools","May not support complex multi-step data transformations","Restricted to pre-built visualization types"],"requires":["Connected data source","Basic understanding of data structure","No programming knowledge needed"],"input_types":["structured data","database connections","data tables"],"output_types":["interactive dashboards","charts","visualizations","reports"],"categories":["productivity","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_blackink__cap_2","uri":"capability://analytics.automated.data.insight.extraction","name":"automated data insight extraction","description":"Analyzes structured business data and automatically surfaces key patterns, anomalies, and actionable insights without manual exploration. Transforms raw data into business-relevant findings.","intents":["I want to understand what's happening in my data without deep analysis","I need to identify problems or opportunities automatically","I want key insights highlighted without manual investigation"],"best_for":["busy executives","operations teams","decision-makers with limited analytical bandwidth"],"limitations":["Insights quality depends on data quality and completeness","May miss domain-specific or nuanced business context","Limited ability to explain why certain patterns emerged"],"requires":["Structured business data","Sufficient historical data for pattern detection","Clear business metrics or KPIs"],"input_types":["structured data","business metrics","KPI data"],"output_types":["insight summaries","anomaly alerts","trend reports","recommendations"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_blackink__cap_3","uri":"capability://analytics.accessible.enterprise.analytics","name":"accessible enterprise analytics","description":"Provides enterprise-grade predictive analytics and BI capabilities through a simplified interface, making advanced analytics accessible without hiring specialized data science teams or investing in expensive platforms.","intents":["I need professional analytics but can't afford expensive BI platforms","I want analytics capabilities without hiring data engineers","I need to democratize data access across my small team"],"best_for":["small-to-mid-size businesses","startups","teams with limited budgets","organizations without data science departments"],"limitations":["Limited integration ecosystem compared to Tableau or Looker","May lack advanced features needed by sophisticated analytics teams","Scaling costs may increase significantly with data volume"],"requires":["Structured business data","Basic data literacy among users","Budget for freemium or paid tier"],"input_types":["structured data","business databases"],"output_types":["analytics dashboards","predictions","reports"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_blackink__cap_4","uri":"capability://productivity.freemium.analytics.evaluation","name":"freemium analytics evaluation","description":"Offers a free tier with meaningful functionality (up to 10,000 data points) allowing users to test platform fit and value before financial commitment. Enables risk-free exploration of predictive analytics capabilities.","intents":["I want to try analytics tools before buying","I need to prove ROI before getting budget approval","I want to evaluate if this platform fits my needs"],"best_for":["budget-conscious teams","evaluation-phase organizations","small businesses testing new tools"],"limitations":["10,000 data point limit may be insufficient for larger datasets","Freemium tier may have feature restrictions","Limited support or training resources on free tier"],"requires":["Dataset under 10,000 points for free tier","Willingness to upgrade for larger scale"],"input_types":["structured data"],"output_types":["analytics dashboards","predictions","reports"],"categories":["productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_blackink__cap_5","uri":"capability://analytics.data.quality.assessment","name":"data quality assessment","description":"Evaluates incoming data for quality issues and provides guidance on data requirements for reliable predictions. Helps users understand if their data is sufficient for accurate predictive modeling.","intents":["I want to know if my data is good enough for predictions","I need to understand what's wrong with my data quality","I want guidance on preparing data for analytics"],"best_for":["data-conscious teams","organizations new to analytics","quality-focused operations"],"limitations":["Guidance on minimum dataset requirements is insufficient according to editorial review","May not catch domain-specific data quality issues","Limited prescriptive recommendations for data improvement"],"requires":["Structured data","Clear understanding of data source and collection method"],"input_types":["structured data","data samples"],"output_types":["quality reports","data assessment summaries","improvement recommendations"],"categories":["analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_blackink__cap_6","uri":"capability://analytics.business.metric.forecasting","name":"business metric forecasting","description":"Generates forward-looking predictions for key business metrics (revenue, churn, demand, etc.) based on historical patterns. Provides confidence intervals and trend projections for planning purposes.","intents":["I need to forecast next quarter's revenue","I want to predict customer churn before it happens","I need demand forecasts for inventory planning"],"best_for":["finance teams","operations managers","sales leaders","supply chain planners"],"limitations":["Accuracy degrades with insufficient historical data","Cannot account for unprecedented external events","Requires consistent data collection practices"],"requires":["Historical business metric data","Regular data updates","Clear definition of metric to forecast"],"input_types":["time-series business data","historical metrics"],"output_types":["numerical forecasts","confidence intervals","trend projections"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_blackink__cap_7","uri":"capability://analytics.anomaly.detection.and.alerting","name":"anomaly detection and alerting","description":"Automatically identifies unusual patterns or deviations from expected behavior in business data and can trigger alerts. Helps catch problems or opportunities early without manual monitoring.","intents":["I want to be alerted when something unusual happens in my data","I need to catch problems before they become critical","I want to identify unexpected opportunities automatically"],"best_for":["operations teams","compliance-focused organizations","proactive managers"],"limitations":["May generate false positives without proper threshold tuning","Requires baseline of normal behavior to detect anomalies","Limited context for understanding why anomalies occurred"],"requires":["Historical baseline data","Regular incoming data updates","Clear definition of normal vs. anomalous"],"input_types":["time-series data","business metrics"],"output_types":["anomaly alerts","deviation reports","notifications"],"categories":["analytics"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["Structured historical data with temporal patterns","Consistent data quality and regular data updates","Clear target variable for prediction","Connected data source","Basic understanding of data structure","No programming knowledge needed","Structured business data","Sufficient historical data for pattern detection","Clear business metrics or KPIs","Basic data literacy among users"],"failure_modes":["Prediction accuracy depends heavily on historical data quality and volume","Insufficient guidance on minimum dataset requirements for reliable predictions","May struggle with sparse or highly irregular data patterns","Limited customization compared to code-based BI tools","May not support complex multi-step data transformations","Restricted to pre-built visualization types","Insights quality depends on data quality and completeness","May miss domain-specific or nuanced business context","Limited ability to explain why certain patterns emerged","Limited integration ecosystem compared to Tableau or Looker","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.77,"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":"2026-05-24T12:16:29.715Z","last_scraped_at":"2026-04-05T13:23:42.549Z","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=blackink","compare_url":"https://unfragile.ai/compare?artifact=blackink"}},"signature":"7UtRHsUlN0x09l2u0FilFbIivky0DxxiiX4UZG36o7cMf70ppAwI+gvsDQjkoE+LTvVKIncirK4WzxCD889lAg==","signedAt":"2026-06-22T04:07:37.842Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/blackink","artifact":"https://unfragile.ai/blackink","verify":"https://unfragile.ai/api/v1/verify?slug=blackink","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"}}