{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_crayon-data","slug":"crayon-data","name":"Crayon Data","type":"product","url":"https://maya.ai","page_url":"https://unfragile.ai/crayon-data","categories":["data-analysis"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_crayon-data__cap_0","uri":"capability://analytics.behavioral.micro.segmentation","name":"behavioral-micro-segmentation","description":"Analyzes customer behavioral signals to automatically identify granular audience segments beyond rule-based definitions. Uses machine learning to discover hidden patterns in customer interactions that traditional segmentation tools miss.","intents":["I need to find micro-segments of customers with similar behaviors that my rules-based system can't detect","I want to understand which customer groups have the highest lifetime value","I need to identify niche audiences for targeted campaigns"],"best_for":["Enterprise retailers with complex customer journeys","SaaS platforms with multi-touch customer interactions","Companies with large behavioral datasets"],"limitations":["Requires 6-12 month implementation timeline","Demands significant data infrastructure investment","Steep learning curve for non-technical teams"],"requires":["Substantial historical customer behavioral data","Data engineering team to prepare and integrate data","Customer data platform or data warehouse"],"input_types":["customer interaction logs","behavioral event streams","transaction history","engagement metrics"],"output_types":["customer segment definitions","segment characteristics and profiles","segment size and composition metrics"],"categories":["analytics","customer-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_1","uri":"capability://analytics.churn.prediction.modeling","name":"churn-prediction-modeling","description":"Predicts which customers are at risk of churning by analyzing behavioral patterns and historical churn indicators. Provides early warning signals with measurable accuracy improvements over legacy systems.","intents":["I need to identify customers likely to cancel or stop purchasing before they leave","I want to prioritize retention efforts on high-risk accounts","I need to measure the accuracy of my churn predictions"],"best_for":["SaaS companies with subscription models","Retailers tracking repeat purchase behavior","Enterprise teams with dedicated data science resources"],"limitations":["Requires historical churn data to train models","Accuracy depends on data quality and completeness","May not capture sudden external market changes"],"requires":["Historical customer data with churn labels","Behavioral and engagement metrics","Data science expertise to interpret models"],"input_types":["customer interaction history","engagement metrics","transaction data","support ticket history"],"output_types":["churn probability scores","risk rankings by customer","model accuracy metrics","feature importance analysis"],"categories":["analytics","predictive-modeling"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_2","uri":"capability://analytics.customer.lifetime.value.prediction","name":"customer-lifetime-value-prediction","description":"Forecasts the total revenue a customer will generate over their relationship with the company. Enables prioritization of high-value customers and optimization of acquisition and retention spending.","intents":["I need to know which customers are worth the most to my business","I want to allocate marketing budget toward acquiring high-LTV customers","I need to justify retention spending on specific customer segments"],"best_for":["E-commerce and retail companies","SaaS platforms with variable customer values","Businesses with long customer lifecycles"],"limitations":["Predictions less reliable for new customer cohorts","Requires sufficient historical transaction data","May not account for market disruptions"],"requires":["Complete historical transaction and revenue data","Customer acquisition dates and costs","Behavioral engagement metrics"],"input_types":["transaction history","customer acquisition data","engagement metrics","product usage data"],"output_types":["LTV predictions by customer","LTV distribution by segment","confidence intervals for predictions","LTV vs acquisition cost analysis"],"categories":["analytics","predictive-modeling"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_3","uri":"capability://personalization.real.time.personalization.decisioning","name":"real-time-personalization-decisioning","description":"Makes immediate personalization decisions across customer touchpoints based on real-time behavioral data and predictive models. Enables dynamic content, offers, and experiences without batch processing delays.","intents":["I need to show personalized content to each customer in real-time on my website","I want to serve different offers based on customer propensity scores instantly","I need to personalize experiences across email, web, and mobile simultaneously"],"best_for":["High-traffic e-commerce platforms","SaaS applications with real-time user interactions","Omnichannel retailers"],"limitations":["Requires low-latency infrastructure","Depends on quality of underlying behavioral data","May have regulatory constraints on personalization"],"requires":["Real-time event streaming infrastructure","API integration with customer touchpoints","Pre-trained predictive models","Low-latency data infrastructure"],"input_types":["real-time customer events","current session behavior","customer profile data","inventory or product data"],"output_types":["personalization decisions","recommended content or offers","experience variants","decision confidence scores"],"categories":["personalization","real-time-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_4","uri":"capability://analytics.propensity.pattern.discovery","name":"propensity-pattern-discovery","description":"Identifies hidden patterns in customer behavior that indicate likelihood to purchase, upgrade, or engage with specific products or services. Discovers correlations and signals that rule-based systems consistently miss.","intents":["I want to find which behavioral signals predict a customer will buy a specific product","I need to understand what actions indicate a customer is ready to upgrade","I want to discover unexpected patterns in customer behavior"],"best_for":["Product teams optimizing conversion funnels","Marketing teams identifying cross-sell opportunities","Enterprise analytics teams"],"limitations":["Requires large datasets to identify reliable patterns","Patterns may be industry or market-specific","Correlation does not imply causation"],"requires":["Comprehensive behavioral event data","Product interaction history","Outcome labels (purchases, upgrades, etc.)","Data science expertise to validate findings"],"input_types":["customer event streams","product interaction logs","purchase history","engagement metrics"],"output_types":["propensity scores","pattern descriptions","feature importance rankings","correlation analysis"],"categories":["analytics","pattern-discovery"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_5","uri":"capability://data.integration.customer.data.integration.and.unification","name":"customer-data-integration-and-unification","description":"Consolidates customer data from multiple sources and channels into a unified customer profile. Resolves identity across touchpoints and creates a single source of truth for customer information.","intents":["I need to combine customer data from my website, app, CRM, and email platform","I want to match customer records across different systems to avoid duplicates","I need a single unified view of each customer across all interactions"],"best_for":["Omnichannel retailers","Enterprise companies with multiple data sources","Organizations with fragmented customer data"],"limitations":["Data quality issues in source systems propagate to unified profiles","Identity resolution accuracy depends on data completeness","Privacy regulations may restrict data consolidation"],"requires":["Access to multiple data sources","Data integration infrastructure","Identity resolution algorithms","Data governance policies"],"input_types":["CRM data","web analytics data","email platform data","transaction data","mobile app data","customer service data"],"output_types":["unified customer profiles","customer identity graphs","data quality reports","integration status dashboards"],"categories":["data-integration","customer-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_6","uri":"capability://activation.batch.audience.export.and.activation","name":"batch-audience-export-and-activation","description":"Exports segmented audiences and predictive scores to external marketing platforms and channels for campaign execution. Enables activation of insights across email, advertising, and other channels.","intents":["I need to send my churn-risk customers to my email platform for a retention campaign","I want to export high-LTV segments to my ad platform for lookalike audience creation","I need to sync customer segments to my CRM for sales team targeting"],"best_for":["Marketing teams executing multi-channel campaigns","Companies with established marketing technology stacks","Enterprises with dedicated activation teams"],"limitations":["Batch exports may have latency compared to real-time decisioning","Requires API integrations with destination platforms","Data freshness depends on export frequency"],"requires":["API integrations with marketing platforms","Audience definitions or segment criteria","Data governance and compliance controls","Destination platform accounts and permissions"],"input_types":["customer segments","propensity scores","predictive model outputs","audience definitions"],"output_types":["audience files","segment exports","activation reports","sync status logs"],"categories":["activation","marketing-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_7","uri":"capability://analytics.customer.analytics.dashboard.and.reporting","name":"customer-analytics-dashboard-and-reporting","description":"Provides visual dashboards and reports that surface key customer insights, segment performance, and predictive model outputs. Enables stakeholders to monitor customer metrics and campaign performance.","intents":["I need to see which customer segments are most valuable","I want to monitor churn risk trends over time","I need to report on personalization campaign performance to executives"],"best_for":["Marketing and product managers","Executive teams monitoring customer health","Analytics teams creating business intelligence"],"limitations":["Dashboard complexity may overwhelm non-technical users","Real-time dashboards require robust infrastructure","Custom report creation may require technical support"],"requires":["Access to underlying analytics data","Dashboard platform or BI tool integration","Defined KPIs and metrics"],"input_types":["customer segment data","predictive scores","campaign performance metrics","behavioral analytics"],"output_types":["interactive dashboards","scheduled reports","performance visualizations","alert notifications"],"categories":["analytics","reporting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_crayon-data__cap_8","uri":"capability://data.governance.data.quality.and.governance.management","name":"data-quality-and-governance-management","description":"Monitors data quality across customer data sources and enforces governance policies including privacy compliance, data lineage tracking, and access controls.","intents":["I need to ensure my customer data meets quality standards before analysis","I want to track where customer data comes from and how it's used","I need to enforce GDPR and privacy compliance across customer data"],"best_for":["Enterprise data teams","Compliance and privacy officers","Organizations with strict data governance requirements"],"limitations":["Governance enforcement may slow data access","Requires ongoing policy maintenance","Privacy regulations vary by jurisdiction"],"requires":["Data governance policies","Compliance frameworks","Data lineage tracking systems","Access control infrastructure"],"input_types":["customer data sources","data usage logs","policy definitions","compliance requirements"],"output_types":["data quality reports","governance audit logs","compliance certifications","data lineage diagrams"],"categories":["data-governance","compliance"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"high","permissions":["Substantial historical customer behavioral data","Data engineering team to prepare and integrate data","Customer data platform or data warehouse","Historical customer data with churn labels","Behavioral and engagement metrics","Data science expertise to interpret models","Complete historical transaction and revenue data","Customer acquisition dates and costs","Behavioral engagement metrics","Real-time event streaming infrastructure"],"failure_modes":["Requires 6-12 month implementation timeline","Demands significant data infrastructure investment","Steep learning curve for non-technical teams","Requires historical churn data to train models","Accuracy depends on data quality and completeness","May not capture sudden external market changes","Predictions less reliable for new customer cohorts","Requires sufficient historical transaction data","May not account for market disruptions","Requires low-latency infrastructure","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.45,"quality":0.8300000000000001,"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":"2026-04-05T13:23:42.534Z","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=crayon-data","compare_url":"https://unfragile.ai/compare?artifact=crayon-data"}},"signature":"FIjwUS9JZUOy2xxpbGejjQEKdvE+bz8U2nTl+YDZnjRqx9pxM8Dv8e23W0rKKcinbCacqMM9V/BKJXxeKEymDw==","signedAt":"2026-06-20T19:41:18.781Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/crayon-data","artifact":"https://unfragile.ai/crayon-data","verify":"https://unfragile.ai/api/v1/verify?slug=crayon-data","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"}}