{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_mastt","slug":"mastt","name":"Mastt","type":"product","url":"https://www.mastt.com","page_url":"https://unfragile.ai/mastt","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_mastt__cap_0","uri":"capability://productivity.predictive.schedule.risk.detection","name":"predictive-schedule-risk-detection","description":"Analyzes project timelines and historical data to automatically identify tasks and milestones at risk of delay before they impact the critical path. Uses AI to surface schedule bottlenecks and predict timeline slippage with actionable early warnings.","intents":["I want to know which tasks might fall behind before they actually do","I need to identify schedule risks early so I can reallocate resources","I want to prevent cascading delays from impacting project completion dates"],"best_for":["mid-to-large construction firms","project managers overseeing complex multi-phase projects","construction teams with historical project data"],"limitations":["requires sufficient historical project data to train models","less effective for new teams without established baseline data","accuracy depends on data quality and completeness"],"requires":["historical project timeline data","task dependency information","resource allocation records"],"input_types":["project schedules","timeline data","task dependencies","historical project records"],"output_types":["risk alerts","delay predictions","timeline recommendations"],"categories":["productivity","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_1","uri":"capability://productivity.resource.allocation.optimization","name":"resource-allocation-optimization","description":"Recommends optimal resource distribution across project tasks based on historical performance data and current project constraints. Identifies underutilized or over-allocated resources to improve efficiency and reduce costs.","intents":["I want to allocate my team more efficiently across active projects","I need to identify where resources are being wasted or underutilized","I want to reduce labor costs by optimizing crew assignments"],"best_for":["construction project managers","resource planners","firms managing multiple concurrent projects"],"limitations":["requires detailed resource utilization data","may not account for skill-specific constraints or certifications","recommendations depend on data accuracy"],"requires":["resource availability data","task requirements","historical productivity metrics","cost data"],"input_types":["crew schedules","resource capacity data","task assignments","productivity records"],"output_types":["allocation recommendations","efficiency reports","cost savings projections"],"categories":["productivity","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_10","uri":"capability://analytics.compliance.and.safety.risk.tracking","name":"compliance-and-safety-risk-tracking","description":"Monitors project data for compliance and safety-related risks, tracking incidents, near-misses, and safety metrics. Identifies patterns that may indicate systemic safety or compliance issues.","intents":["I want to track safety incidents and identify trends","I need to ensure compliance with regulations and standards","I want to identify high-risk areas before incidents occur"],"best_for":["safety managers","compliance officers","construction firms in regulated industries"],"limitations":["depends on incident reporting accuracy and completeness","may not capture unreported near-misses","requires domain expertise to interpret patterns"],"requires":["incident reports","safety metrics","compliance records","regulatory requirements"],"input_types":["incident logs","safety inspection data","compliance records","audit reports"],"output_types":["safety reports","compliance alerts","risk assessments","trend analysis"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_2","uri":"capability://productivity.workflow.bottleneck.identification","name":"workflow-bottleneck-identification","description":"Analyzes project workflows to automatically detect points where work is slowing down or getting stuck. Surfaces inefficiencies in processes, handoffs, and dependencies that are causing delays.","intents":["I want to understand why my project is moving slower than expected","I need to find the specific steps in our workflow that are causing delays","I want to optimize our construction processes to move faster"],"best_for":["operations managers","project leads","construction firms seeking process improvement"],"limitations":["requires detailed workflow and activity data","may miss external factors affecting workflow","effectiveness depends on data granularity"],"requires":["task completion data","workflow sequence information","timeline records","activity logs"],"input_types":["project activity logs","task sequences","completion timestamps","workflow diagrams"],"output_types":["bottleneck reports","process flow analysis","improvement recommendations"],"categories":["productivity","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_3","uri":"capability://productivity.real.time.project.performance.monitoring","name":"real-time-project-performance-monitoring","description":"Continuously tracks project metrics and KPIs against planned baselines, providing live visibility into schedule adherence, budget status, and resource utilization. Alerts teams to deviations in real-time.","intents":["I want to see how my project is performing right now compared to the plan","I need immediate alerts when something goes off track","I want a single dashboard showing all critical project metrics"],"best_for":["project managers","construction executives","teams requiring real-time project visibility"],"limitations":["requires integration with project data sources","alert fatigue possible if thresholds not properly tuned","depends on data freshness"],"requires":["real-time project data feeds","baseline plan data","KPI definitions","integration with project systems"],"input_types":["project management system data","time tracking data","budget data","resource utilization data"],"output_types":["dashboards","alerts","performance reports","KPI metrics"],"categories":["productivity","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_4","uri":"capability://analytics.historical.project.pattern.analysis","name":"historical-project-pattern-analysis","description":"Examines completed projects to identify recurring patterns, common delays, typical cost overruns, and success factors. Extracts learnings from past work to inform future project planning and execution.","intents":["I want to learn from our past projects to plan better","I need to understand what typically causes delays in our projects","I want to identify best practices from our most successful projects"],"best_for":["project planners","construction firms with mature project histories","teams seeking continuous improvement"],"limitations":["requires substantial historical project data","patterns may not apply to different project types or contexts","external factors may not be captured in data"],"requires":["completed project records","project outcomes data","timeline and budget records","lessons learned documentation"],"input_types":["historical project data","completion reports","budget records","timeline data"],"output_types":["pattern reports","trend analysis","best practice recommendations","risk profiles"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_5","uri":"capability://analytics.budget.variance.forecasting","name":"budget-variance-forecasting","description":"Predicts budget overruns and cost variances based on current spending patterns and project progress. Forecasts final project costs and identifies cost drivers before they become major issues.","intents":["I want to know if my project will go over budget before it happens","I need to understand what's driving cost increases","I want to forecast final project costs with confidence"],"best_for":["project finance managers","construction controllers","teams managing fixed-price contracts"],"limitations":["accuracy depends on cost data quality and completeness","external factors like material price spikes may not be predictable","requires sufficient project progress data"],"requires":["budget baseline data","actual spending records","project progress data","cost allocation data"],"input_types":["budget data","invoice records","purchase orders","project progress metrics"],"output_types":["cost forecasts","variance reports","budget alerts","cost driver analysis"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_6","uri":"capability://productivity.project.data.integration.and.normalization","name":"project-data-integration-and-normalization","description":"Connects to existing construction management systems and data sources to consolidate fragmented project information into a unified data model. Normalizes data from different tools and formats for analysis.","intents":["I want to use AI insights without replacing my existing project management tools","I need to consolidate data from multiple systems into one place","I want to avoid manual data entry and keep everything in sync"],"best_for":["construction firms with existing tool ecosystems","teams using multiple project management platforms","organizations seeking non-disruptive AI adoption"],"limitations":["integration complexity depends on system compatibility","data quality issues in source systems will propagate","requires ongoing maintenance of integrations"],"requires":["API access to existing systems","data mapping specifications","integration infrastructure"],"input_types":["project management system APIs","spreadsheets","database exports","document files"],"output_types":["unified data model","normalized datasets","integration logs"],"categories":["productivity","integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_7","uri":"capability://analytics.team.productivity.benchmarking","name":"team-productivity-benchmarking","description":"Compares team and individual productivity metrics against historical benchmarks and industry standards. Identifies high-performing teams and individuals while surfacing productivity gaps.","intents":["I want to know how productive my teams are compared to our historical average","I need to identify which teams are performing well and which need support","I want to set realistic productivity targets based on our data"],"best_for":["construction managers","HR and operations teams","firms seeking performance improvement"],"limitations":["requires sufficient historical productivity data","may not account for project complexity differences","external factors may skew comparisons"],"requires":["productivity metrics","historical performance data","team assignment records","task completion data"],"input_types":["time tracking data","task completion records","team rosters","historical productivity metrics"],"output_types":["benchmark reports","performance comparisons","productivity insights"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_8","uri":"capability://analytics.anomaly.detection.and.alerting","name":"anomaly-detection-and-alerting","description":"Automatically detects unusual patterns in project data that deviate from normal operations, such as unexpected cost spikes, unusual delays, or resource anomalies. Generates alerts for investigation.","intents":["I want to be alerted to unusual things happening on my projects","I need to catch problems early before they become major issues","I want to identify fraud or data entry errors automatically"],"best_for":["project managers","construction controllers","teams managing high-value projects"],"limitations":["requires baseline normal behavior data","may generate false positives if thresholds not tuned","context-dependent anomalies may be missed"],"requires":["historical project data","normal behavior baselines","real-time data feeds"],"input_types":["project metrics","financial data","resource data","timeline data"],"output_types":["anomaly alerts","deviation reports","investigation recommendations"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mastt__cap_9","uri":"capability://analytics.scenario.planning.and.what.if.analysis","name":"scenario-planning-and-what-if-analysis","description":"Enables project managers to model different scenarios and see predicted impacts on schedule, budget, and resources. Allows testing of decisions before implementation to understand consequences.","intents":["I want to see what happens if I add more resources to this task","I need to understand the impact of delaying a phase on the overall project","I want to evaluate different project strategies before committing to one"],"best_for":["project planners","construction executives","teams making strategic decisions"],"limitations":["predictions depend on model accuracy and historical data quality","complex interdependencies may not be fully captured","external factors not in data cannot be modeled"],"requires":["project baseline data","historical impact data","dependency information","resource cost data"],"input_types":["project plans","resource data","cost data","timeline data"],"output_types":["scenario projections","impact analysis","recommendation reports"],"categories":["analytics","productivity"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"high","permissions":["historical project timeline data","task dependency information","resource allocation records","resource availability data","task requirements","historical productivity metrics","cost data","incident reports","safety metrics","compliance records"],"failure_modes":["requires sufficient historical project data to train models","less effective for new teams without established baseline data","accuracy depends on data quality and completeness","requires detailed resource utilization data","may not account for skill-specific constraints or certifications","recommendations depend on data accuracy","depends on incident reporting accuracy and completeness","may not capture unreported near-misses","requires domain expertise to interpret patterns","requires detailed workflow and activity data","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.4083333333333333,"quality":0.83,"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":"2026-04-05T13:23:42.538Z","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=mastt","compare_url":"https://unfragile.ai/compare?artifact=mastt"}},"signature":"8lkI6u/f5QU+K5VuVoymmN2GlR/dsKgnDFeWFDTQ56xs9ZLgMx9Tw32SoeiztNrJvf1Q8SLqnPTA+PRjdUysBg==","signedAt":"2026-06-20T17:10:27.700Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mastt","artifact":"https://unfragile.ai/mastt","verify":"https://unfragile.ai/api/v1/verify?slug=mastt","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"}}