{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_atua","slug":"atua","name":"Atua","type":"product","url":"https://atua.app","page_url":"https://unfragile.ai/atua","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_atua__cap_0","uri":"capability://automation.workflow.on.device.natural.language.task.automation","name":"on-device natural language task automation","description":"Converts natural language commands into executable macOS automation sequences using on-device language processing, eliminating cloud round-trips. The system parses user intent, maps it to available system APIs and application hooks, and generates task workflows that execute locally with full access to system resources. This approach maintains privacy while enabling context-aware automation without latency penalties from cloud inference.","intents":["Define repetitive Mac tasks using plain English without learning AppleScript or automation syntax","Automate multi-step workflows across native macOS applications without cloud dependencies","Create conditional task sequences that respond to system state and application context in real-time"],"best_for":["Mac-focused knowledge workers automating research and data collection workflows","Non-technical users who want AI automation without learning scripting languages","Privacy-conscious teams avoiding cloud-based automation services"],"limitations":["On-device model capacity limits complexity of natural language understanding compared to cloud LLMs","Task generation accuracy depends on how precisely users describe intent in natural language","No cross-platform support — automation sequences are macOS-specific and non-portable"],"requires":["macOS 11.0 or later","Sufficient local storage for on-device language model (estimated 2-4GB)","Accessibility permissions granted to Atua for system automation"],"input_types":["natural language text commands","voice input (via macOS speech recognition)","task templates with variable substitution"],"output_types":["executable automation sequences","task logs with execution results","structured task definitions for reuse"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_1","uri":"capability://automation.workflow.context.aware.application.workflow.integration","name":"context-aware application workflow integration","description":"Monitors active application context and automatically adapts automation behavior based on which app is in focus, window state, and application-specific data. Uses macOS Accessibility API to introspect UI hierarchies, extract semantic information from application windows, and trigger app-specific automation hooks. This enables workflows that understand application state and respond intelligently without explicit user configuration per app.","intents":["Automatically adjust automation behavior based on which application is currently active","Extract structured data from application windows and use it to inform downstream automation steps","Create workflows that understand application-specific UI patterns and interact with them intelligently"],"best_for":["Researchers automating data collection across multiple research tools and browsers","Knowledge workers managing complex multi-app workflows (e.g., email → notes → calendar)","Teams standardizing workflows across heterogeneous application stacks"],"limitations":["Requires Accessibility permissions for each application, which some apps restrict or block","UI introspection accuracy varies by application — custom or web-based apps may not expose semantic structure","Context switching overhead adds latency when monitoring multiple applications simultaneously"],"requires":["macOS 11.0 or later","Accessibility permissions granted for target applications","Applications must support macOS Accessibility API (most native apps do; web apps require browser extension)"],"input_types":["active application identifier","window hierarchy and UI element metadata","clipboard content","application-specific data structures"],"output_types":["context-aware automation triggers","extracted structured data from UI","application-specific action sequences"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_10","uri":"capability://automation.workflow.clipboard.and.pasteboard.automation","name":"clipboard and pasteboard automation","description":"Monitors clipboard content and automatically triggers automation workflows based on clipboard data, or populates clipboard with automation results for downstream use. Supports clipboard history tracking, clipboard format conversion (text to structured data), and clipboard-based data passing between automation steps. Enables clipboard-centric workflows where data flows through the clipboard without explicit file or database operations.","intents":["Trigger automations when specific content is copied to clipboard","Automatically format and transform clipboard content for downstream applications","Use clipboard as a data interchange mechanism between automation steps and applications"],"best_for":["Users automating data transformation workflows that operate on clipboard content","Teams using clipboard as a lightweight data interchange mechanism","Power users building clipboard-centric automation chains"],"limitations":["Clipboard monitoring adds privacy concerns — requires careful permission management","Clipboard history is limited by system memory and may lose data if not persisted","Clipboard-based workflows are fragile — accidental clipboard changes can break automation chains"],"requires":["macOS 11.0 or later","Clipboard access permissions granted to Atua","Applications that support clipboard data interchange"],"input_types":["clipboard content (text, rich text, images, structured data)","clipboard format specifications","clipboard history queries"],"output_types":["clipboard content modifications","clipboard history entries","format-converted clipboard data"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_11","uri":"capability://automation.workflow.multi.language.support.for.automation.definitions","name":"multi-language support for automation definitions","description":"Supports defining automation workflows in multiple natural languages (English, Spanish, French, German, etc.), with the on-device language model translating non-English task definitions to a canonical internal representation. Enables non-English speakers to define automations in their native language without requiring English proficiency. Language detection is automatic, and users can switch languages per workflow or globally.","intents":["Define automation workflows in native language without English proficiency","Build automation teams with multilingual members using their preferred languages","Localize automation templates and shared workflows for international teams"],"best_for":["Non-English speaking users and teams","International organizations with multilingual automation needs","Communities building localized automation templates"],"limitations":["Translation accuracy depends on on-device model quality — may introduce errors for complex task definitions","Language support is limited to languages included in the on-device model","Mixing languages within a single workflow may confuse the language model"],"requires":["macOS 11.0 or later","On-device language model with support for target language","Sufficient local storage for multilingual models"],"input_types":["natural language task definitions in any supported language","language preference settings"],"output_types":["translated task definitions","automation workflows in canonical representation"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_12","uri":"capability://automation.workflow.automation.workflow.versioning.and.rollback","name":"automation workflow versioning and rollback","description":"Maintains version history of automation workflows with the ability to view, compare, and rollback to previous versions. Supports branching and merging of workflow definitions for collaborative development. Tracks changes with metadata (author, timestamp, change description) and enables reverting to known-good versions if automation changes cause issues. Integrates with optional cloud sync for distributed version control.","intents":["Track changes to automation workflows and understand who modified what and when","Rollback to previous workflow versions if recent changes cause problems","Collaborate on workflow development with branching and merging capabilities"],"best_for":["Teams collaboratively developing and maintaining automation workflows","Users iterating on complex automations and needing to revert failed changes","Organizations requiring audit trails for automation changes"],"limitations":["Version control is local-only without cloud sync — no distributed collaboration without manual export/import","Merging conflicting workflow changes requires manual resolution","Version history storage consumes local disk space and may grow large over time"],"requires":["macOS 11.0 or later","Local storage for version history","Optional: cloud account for distributed version control"],"input_types":["workflow definitions and modifications","version metadata (author, timestamp, description)","merge conflict resolutions"],"output_types":["version history with diffs","rollback operations","merged workflow definitions"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_2","uri":"capability://automation.workflow.task.sequencing.with.conditional.logic","name":"task sequencing with conditional logic","description":"Enables definition of multi-step automation workflows with branching logic, loops, and state-based decision points. Users can compose sequences of actions (application interactions, system commands, data transformations) with conditional branches based on task results, system state, or extracted data. The execution engine maintains state across steps and supports error handling and retry logic without requiring programming knowledge.","intents":["Build complex multi-step workflows that branch based on intermediate results or system conditions","Define error handling and retry strategies for fragile automation sequences","Create reusable task templates with variable substitution and conditional execution paths"],"best_for":["Power users building sophisticated automation workflows beyond simple linear sequences","Teams standardizing complex business processes into reusable automation templates","Researchers automating conditional data collection pipelines"],"limitations":["Learning curve for non-technical users — conditional logic and state management require conceptual understanding","Debugging complex workflows is difficult without built-in workflow visualization and step-by-step execution","State persistence is limited to task execution scope — no cross-session state management without external storage"],"requires":["macOS 11.0 or later","Understanding of basic control flow concepts (if/then, loops, variables)","Access to task definition interface (UI or configuration files)"],"input_types":["task definitions with conditional branches","variable bindings and state objects","action sequences with result handling"],"output_types":["executed task sequences with results","execution logs with branch decisions","state snapshots at each step"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_3","uri":"capability://automation.workflow.system.level.task.automation.via.native.apis","name":"system-level task automation via native apis","description":"Directly invokes macOS system APIs and frameworks (Foundation, AppKit, Quartz) to automate system-level operations including file management, process control, system preferences, and inter-application communication. Bypasses the need for AppleScript or shell scripting by providing high-level abstractions over native APIs, enabling faster execution and deeper system integration than script-based approaches.","intents":["Automate file system operations (batch rename, organize, move) with system-level efficiency","Control system settings and preferences programmatically without manual UI interaction","Trigger system-level events and notifications that integrate with macOS notification center and system services"],"best_for":["System administrators managing macOS fleet configurations and automation","Power users automating file management and system maintenance tasks","Developers building macOS-native automation tools"],"limitations":["Requires elevated permissions for some system operations (e.g., modifying system preferences)","API surface is limited to publicly documented macOS frameworks — undocumented APIs are fragile","System API changes across macOS versions may break automation sequences without version detection"],"requires":["macOS 11.0 or later","Full Disk Access permission for file system operations","System Preferences access for preference modifications"],"input_types":["file paths and system resource identifiers","system preference keys and values","process identifiers and control signals"],"output_types":["file system changes and operation results","system state modifications","process control results and exit codes"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_4","uri":"capability://automation.workflow.research.task.automation.and.data.collection","name":"research task automation and data collection","description":"Specializes in automating repetitive research workflows including web scraping, data extraction from multiple sources, and structured data collection. Integrates with browsers and research tools to automate information gathering, deduplication, and organization into structured formats. Maintains research context across sessions and supports batch processing of research queries without manual intervention.","intents":["Automate repetitive research data collection across multiple websites and sources","Extract and structure research data into organized formats (spreadsheets, databases, note systems)","Batch process research queries and maintain research context across multiple sessions"],"best_for":["Academic researchers automating literature review and data collection workflows","Market researchers collecting competitive intelligence from multiple sources","Knowledge workers organizing research findings into structured knowledge bases"],"limitations":["Web scraping accuracy depends on website structure — dynamic content and JavaScript-rendered pages require special handling","Rate limiting and anti-bot protections on target websites may block automated access","Data extraction from unstructured sources (PDFs, images) requires OCR and NLP, which adds latency and error rates"],"requires":["macOS 11.0 or later","Browser integration (Safari, Chrome, or Firefox with appropriate permissions)","Network access to target research sources"],"input_types":["research queries and URLs","data extraction templates","structured research parameters"],"output_types":["structured research data (CSV, JSON, markdown)","organized research collections","deduplicated research results"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_5","uri":"capability://automation.workflow.workflow.template.library.and.sharing","name":"workflow template library and sharing","description":"Provides a repository of pre-built automation templates for common tasks (email management, file organization, data entry) that users can customize and deploy. Templates are defined in a portable format that captures task sequences, conditional logic, and variable bindings. Users can share templates within teams or communities, and the system handles template versioning and compatibility across Atua versions.","intents":["Quickly deploy common automation workflows without building from scratch","Share standardized automation templates across teams to ensure consistent processes","Discover and adapt community-contributed automation patterns for similar use cases"],"best_for":["Teams standardizing automation workflows across multiple users","Non-technical users discovering pre-built automations for common tasks","Communities building shared automation libraries for specific domains (research, marketing, etc.)"],"limitations":["Template library is smaller than established platforms like Zapier or IFTTT due to smaller user base","Template customization requires understanding of variable substitution and conditional logic","Cross-version compatibility issues may arise as Atua evolves and APIs change"],"requires":["macOS 11.0 or later","Access to template library (online or bundled)","Basic understanding of template variables and customization"],"input_types":["template definitions (YAML, JSON, or proprietary format)","variable bindings and customization parameters","template metadata and versioning information"],"output_types":["instantiated automation workflows","customized task sequences","template export for sharing"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_6","uri":"capability://automation.workflow.privacy.preserving.local.execution.with.optional.cloud.sync","name":"privacy-preserving local execution with optional cloud sync","description":"Executes all automation logic and data processing on-device by default, with optional cloud synchronization for workflow definitions and execution logs. User data never leaves the device unless explicitly configured for cloud backup. The architecture maintains a clear separation between local execution (always private) and optional cloud features (workflow sync, cross-device access), giving users granular control over what data is shared.","intents":["Automate sensitive tasks (financial data, personal information) without sending data to cloud services","Maintain full privacy for research and competitive intelligence automation","Sync workflow definitions across devices while keeping execution data local"],"best_for":["Privacy-conscious knowledge workers handling sensitive information","Organizations with data residency requirements or compliance constraints","Researchers automating confidential research workflows"],"limitations":["No cross-device execution without manual workflow export/import or optional cloud sync","Debugging and support is more difficult without cloud-based execution logs and telemetry","On-device model updates require manual downloads rather than automatic cloud-based updates"],"requires":["macOS 11.0 or later","Sufficient local storage for on-device models and execution logs","Optional: cloud account for workflow sync (requires explicit opt-in)"],"input_types":["automation workflows and task definitions","local data and system state","optional: cloud sync credentials"],"output_types":["local execution results and logs","optional: synced workflow definitions","privacy-preserving telemetry (if enabled)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_7","uri":"capability://automation.workflow.voice.command.interface.for.task.definition","name":"voice command interface for task definition","description":"Enables users to define automation tasks using natural spoken language, leveraging macOS speech recognition to convert voice input to text, then processing through the natural language task automation engine. Supports voice-based task triggering and status queries, making automation accessible without keyboard interaction. Voice commands are processed on-device using native macOS speech recognition APIs.","intents":["Define automation tasks hands-free using voice commands while working on other tasks","Trigger pre-defined automations using voice without keyboard or mouse interaction","Query automation status and results using conversational voice commands"],"best_for":["Users with accessibility needs requiring hands-free interaction","Knowledge workers who prefer voice-based task definition over typing","Environments where keyboard interaction is impractical (presentations, meetings)"],"limitations":["Voice recognition accuracy depends on audio quality and ambient noise levels","Complex task definitions are difficult to express clearly in spoken language","Voice commands require clear enunciation and may not work well with accents or speech variations"],"requires":["macOS 11.0 or later","Microphone with reasonable audio quality","macOS speech recognition enabled and trained for user's voice"],"input_types":["spoken voice commands","audio input from microphone"],"output_types":["recognized text from voice input","voice-triggered automation execution","spoken status responses"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_8","uri":"capability://automation.workflow.keyboard.shortcut.and.hotkey.automation.triggers","name":"keyboard shortcut and hotkey automation triggers","description":"Allows users to bind automation workflows to custom keyboard shortcuts and system-wide hotkeys, enabling rapid task triggering without navigating menus or interfaces. Supports modifier key combinations and context-aware hotkey behavior that changes based on active application or system state. Hotkey bindings are managed through a centralized registry that prevents conflicts and enables easy remapping.","intents":["Trigger frequently-used automations with single keyboard shortcuts for rapid access","Create context-sensitive hotkeys that behave differently based on active application","Manage and remap hotkey bindings without modifying underlying automation definitions"],"best_for":["Power users who prefer keyboard-driven workflows","Teams standardizing hotkey bindings across multiple users","Users automating high-frequency tasks that benefit from rapid triggering"],"limitations":["Global hotkey registration may conflict with system shortcuts or other applications","Context-aware hotkeys add complexity and may behave unexpectedly in unfamiliar applications","Hotkey discoverability is poor — users must remember or reference documentation for available shortcuts"],"requires":["macOS 11.0 or later","Accessibility permissions for global hotkey capture","Hotkey configuration interface or configuration files"],"input_types":["keyboard shortcut definitions (modifier + key combinations)","context conditions (active application, window state)","automation workflow identifiers"],"output_types":["triggered automation execution","hotkey conflict warnings","hotkey binding status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_atua__cap_9","uri":"capability://automation.workflow.scheduled.task.execution.and.background.automation","name":"scheduled task execution and background automation","description":"Enables scheduling of automation workflows to run at specified times, intervals, or in response to system events (file changes, network state changes, application launches). Maintains a background daemon that monitors triggers and executes scheduled tasks without user interaction. Supports cron-like scheduling syntax and event-based triggers, with execution logs and error notifications.","intents":["Run automation workflows on a schedule (daily, weekly, monthly) without manual triggering","Respond automatically to system events (file changes, application launches) with automation workflows","Maintain background automation processes that run while user is away or system is idle"],"best_for":["Users automating periodic maintenance tasks (backups, data collection, cleanup)","Teams running scheduled data collection or synchronization workflows","Knowledge workers automating background tasks that don't require immediate attention"],"limitations":["Background daemon requires system resources and may impact battery life on laptops","Scheduled execution is not guaranteed if system is asleep or powered off","Event-based triggers may miss events if daemon is not running or system is in low-power state"],"requires":["macOS 11.0 or later","Background app refresh enabled in system preferences","Sufficient system resources for background daemon process"],"input_types":["schedule definitions (cron syntax or interval-based)","event trigger conditions (file paths, application identifiers, network state)","automation workflow identifiers"],"output_types":["scheduled task execution results","execution logs with timestamps","error notifications and retry status"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["macOS 11.0 or later","Sufficient local storage for on-device language model (estimated 2-4GB)","Accessibility permissions granted to Atua for system automation","Accessibility permissions granted for target applications","Applications must support macOS Accessibility API (most native apps do; web apps require browser extension)","Clipboard access permissions granted to Atua","Applications that support clipboard data interchange","On-device language model with support for target language","Sufficient local storage for multilingual models","Local storage for version history"],"failure_modes":["On-device model capacity limits complexity of natural language understanding compared to cloud LLMs","Task generation accuracy depends on how precisely users describe intent in natural language","No cross-platform support — automation sequences are macOS-specific and non-portable","Requires Accessibility permissions for each application, which some apps restrict or block","UI introspection accuracy varies by application — custom or web-based apps may not expose semantic structure","Context switching overhead adds latency when monitoring multiple applications simultaneously","Clipboard monitoring adds privacy concerns — requires careful permission management","Clipboard history is limited by system memory and may lose data if not persisted","Clipboard-based workflows are fragile — accidental clipboard changes can break automation chains","Translation accuracy depends on on-device model quality — may introduce errors for complex task definitions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"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":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=atua","compare_url":"https://unfragile.ai/compare?artifact=atua"}},"signature":"XU/v9yldOgoSUcTnHtlpxERHLqoTtCloCwib9ZXb3UZOaWhTJ/K8snFMakRL6TA2GqaXuKTOey3oapS1ptMLDg==","signedAt":"2026-06-21T09:15:27.036Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/atua","artifact":"https://unfragile.ai/atua","verify":"https://unfragile.ai/api/v1/verify?slug=atua","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"}}