{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-magic-loops","slug":"magic-loops","name":"Magic Loops","type":"product","url":"https://magicloops.dev/","page_url":"https://unfragile.ai/magic-loops","categories":["app-builders"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-magic-loops__cap_0","uri":"capability://automation.workflow.natural.language.workflow.automation.builder","name":"natural language workflow automation builder","description":"Converts plain English descriptions of repetitive tasks into executable automation workflows without requiring code. Uses LLM-based intent parsing to translate user descriptions into structured workflow definitions, then maps those definitions to pre-built action nodes (HTTP requests, data transformations, conditional logic). The system maintains a library of common automation patterns and learns from user corrections to improve future parsing accuracy.","intents":["I want to automate a repetitive task without learning a programming language","I need to create a workflow that runs on a schedule without writing code","I want to connect multiple apps together based on simple English instructions"],"best_for":["Non-technical users automating personal workflows","Small business owners building internal processes","Teams seeking rapid automation prototyping without engineering resources"],"limitations":["Complex conditional logic with nested branches may require manual workflow editing","Ambiguous natural language descriptions may require multiple clarification rounds","Limited to pre-built action types — custom business logic requires fallback to visual editor"],"requires":["Web browser with modern JavaScript support","Magic Loops account with authentication","API credentials for any third-party services being integrated"],"input_types":["natural language text description","task specification in conversational format"],"output_types":["executable workflow definition","scheduled automation task","integration configuration"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_1","uri":"capability://tool.use.integration.multi.app.integration.with.automatic.credential.management","name":"multi-app integration with automatic credential management","description":"Provides pre-built connectors to 100+ SaaS applications (Slack, Gmail, Notion, Airtable, etc.) with OAuth-based credential handling that abstracts away API authentication complexity. Each connector exposes a standardized action interface (trigger, filter, transform, send) that maps to the underlying app's REST API, with automatic request/response transformation and error handling. Credentials are encrypted and stored securely, allowing users to reference integrations by name rather than managing tokens.","intents":["I want to send data from one app to another without managing API keys manually","I need to trigger actions in multiple apps based on events in a primary app","I want to avoid building custom API wrappers for common SaaS integrations"],"best_for":["Users integrating popular SaaS tools without API development skills","Teams standardizing on a single automation platform across multiple apps","Organizations with security requirements around credential management"],"limitations":["Limited to pre-built connectors — unsupported apps require custom HTTP request actions","Rate limiting on third-party APIs is not automatically managed — users must implement backoff logic","OAuth token refresh failures may require manual re-authentication"],"requires":["Active account with supported SaaS application","OAuth permissions granted during initial connector setup","Magic Loops account with integration permissions enabled"],"input_types":["OAuth authorization flow","app-specific action parameters","data transformation mappings"],"output_types":["authenticated API requests","app-specific action responses","transformed data payloads"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_10","uri":"capability://tool.use.integration.custom.http.request.actions.with.header.and.body.templating","name":"custom http request actions with header and body templating","description":"Allows users to make arbitrary HTTP requests to any API endpoint (not just pre-built connectors) by specifying method (GET/POST/PUT/DELETE), URL, headers, and body. Supports templating in all fields using the same expression language as data transformation, enabling dynamic URL construction and request body generation based on previous step outputs. Handles common authentication patterns (API key, Bearer token, Basic auth) and automatically manages request/response encoding.","intents":["I want to integrate with an API that doesn't have a pre-built connector","I need to make a custom API call with dynamic headers or body based on previous steps","I want to call internal APIs or webhooks from my workflow"],"best_for":["Users integrating with custom or niche APIs","Teams building internal API integrations","Organizations with legacy systems requiring custom HTTP integration"],"limitations":["No built-in request validation — malformed requests fail at runtime","Authentication must be manually configured — no OAuth support for custom APIs","Response parsing is limited to JSON — XML or binary responses require custom handling"],"requires":["Knowledge of the target API's endpoint, method, and request/response format","API credentials (API key, token, etc.)","Understanding of HTTP and JSON"],"input_types":["HTTP method (GET/POST/PUT/DELETE/PATCH)","URL with optional templating","headers (key-value pairs with templating)","request body (JSON with templating)"],"output_types":["HTTP response status code","response body (JSON)","response headers"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_2","uri":"capability://automation.workflow.scheduled.and.event.triggered.workflow.execution","name":"scheduled and event-triggered workflow execution","description":"Executes workflows on two execution models: time-based scheduling (cron-like intervals: hourly, daily, weekly) and event-based triggering (webhook listeners that fire on external events). The system maintains a distributed task queue that dequeues scheduled jobs at specified times and maintains persistent webhook endpoints that capture incoming events and trigger corresponding workflows. Execution state is tracked per workflow run, enabling retry logic and failure notifications.","intents":["I want a workflow to run automatically every morning without manual intervention","I need to trigger a workflow when an external event occurs (e.g., new email, form submission)","I want to see logs and status for each time a workflow executes"],"best_for":["Users automating recurring daily/weekly tasks","Teams building event-driven integrations between apps","Organizations needing audit trails of automation execution"],"limitations":["Minimum scheduling granularity is 1 minute — sub-minute precision not supported","Webhook delivery is not guaranteed if Magic Loops service experiences downtime","Execution logs are retained for 30 days by default — longer retention requires paid plan"],"requires":["Magic Loops account with automation creation permissions","For scheduled workflows: timezone configuration","For event-triggered workflows: webhook URL or event source configuration"],"input_types":["cron schedule expression or human-readable interval","webhook event payload (JSON)","trigger configuration parameters"],"output_types":["workflow execution logs","execution status (success/failure/timeout)","execution result data"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_3","uri":"capability://automation.workflow.visual.workflow.editor.with.drag.and.drop.node.composition","name":"visual workflow editor with drag-and-drop node composition","description":"Provides a canvas-based interface where users drag pre-built action nodes (HTTP request, data filter, conditional branch, loop, etc.) onto a workflow graph and connect them with edges to define execution flow. Each node exposes configurable parameters (URL, headers, body template, condition logic) through a side panel. The editor validates the workflow graph for structural correctness (no orphaned nodes, valid connections) and provides real-time syntax checking for expressions and templates.","intents":["I want to visually design a workflow without writing code","I need to add conditional logic and loops to my automation","I want to test my workflow before scheduling it"],"best_for":["Users comfortable with visual programming but not code","Teams building moderately complex workflows with branching logic","Organizations standardizing on visual workflow design for auditability"],"limitations":["Complex nested loops or deeply branched conditionals become visually cluttered","No built-in version control — workflow history is limited to snapshots","Expression language is limited compared to full programming languages"],"requires":["Modern web browser with Canvas/SVG support","Magic Loops account with workflow editor access","JavaScript enabled for interactive canvas rendering"],"input_types":["node type selection","parameter configuration via UI forms","expression/template text input"],"output_types":["workflow definition (JSON DAG)","executable workflow configuration","workflow test results"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_4","uri":"capability://data.processing.analysis.data.transformation.and.mapping.between.workflow.steps","name":"data transformation and mapping between workflow steps","description":"Provides a templating and expression language (likely Handlebars or similar) that allows users to map outputs from one workflow step as inputs to the next step. Supports field extraction from JSON responses, string interpolation, conditional value selection, and basic arithmetic operations. The system maintains a context object containing all previous step outputs, making them available for reference in downstream steps via dot notation or bracket syntax.","intents":["I want to extract a specific field from an API response and use it in the next step","I need to format data from one app to match the input schema of another app","I want to conditionally choose different values based on previous step results"],"best_for":["Users building multi-step workflows with data dependencies","Teams integrating apps with incompatible data schemas","Organizations needing lightweight data transformation without ETL tools"],"limitations":["Complex transformations (grouping, aggregation, joins) require custom code or external tools","No built-in schema validation — mismatched field names fail at runtime","Expression language lacks advanced features like regex or custom functions"],"requires":["Understanding of JSON structure and dot notation","Familiarity with template syntax (Handlebars or equivalent)","Knowledge of the upstream step's output schema"],"input_types":["template expressions with variable references","JSON path selectors","conditional logic expressions"],"output_types":["transformed data payloads","formatted strings","conditional values"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_5","uri":"capability://automation.workflow.workflow.testing.and.dry.run.execution","name":"workflow testing and dry-run execution","description":"Allows users to execute a workflow with test data before scheduling or deploying it to production. The dry-run mode simulates each step without making actual API calls to external services (or makes calls to test endpoints if available), capturing the execution path and output at each node. Users can inspect intermediate results, validate that data transformations are correct, and identify logic errors before the workflow runs on real data.","intents":["I want to test my workflow before it runs on real data","I need to debug why a workflow step is failing","I want to see what data flows through each step of my workflow"],"best_for":["Users building complex workflows with multiple dependencies","Teams requiring validation before production automation","Organizations with data governance requirements around automation testing"],"limitations":["Dry-run mode may not catch issues with real-world data (edge cases, rate limits)","Some external services may not have test endpoints — dry-run falls back to mocked responses","Test data must be manually provided — no automatic test case generation"],"requires":["Magic Loops account with workflow editing permissions","Test data matching the expected input schema","Understanding of the workflow's expected behavior"],"input_types":["test data payload (JSON)","workflow configuration","execution parameters"],"output_types":["step-by-step execution trace","intermediate results at each node","error messages and stack traces"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_6","uri":"capability://automation.workflow.error.handling.and.retry.logic.with.configurable.backoff","name":"error handling and retry logic with configurable backoff","description":"Allows users to configure retry behavior for individual workflow steps or entire workflows when failures occur. Supports exponential backoff (delay increases with each retry), maximum retry counts, and conditional retry logic (retry only on specific error types). Failed workflows can be configured to send notifications (email, Slack) or trigger alternative workflows, enabling graceful degradation and alerting.","intents":["I want my workflow to automatically retry if an API call fails temporarily","I need to be notified when a workflow fails after all retries are exhausted","I want to handle different types of errors differently (retry on timeout, skip on 404)"],"best_for":["Users building reliable automations that interact with flaky external APIs","Teams requiring high availability for critical workflows","Organizations needing observability into automation failures"],"limitations":["Retry logic is per-step — no built-in distributed transaction semantics for multi-step rollback","Maximum retry count is capped (likely 10-20) to prevent infinite loops","Backoff strategy is limited to exponential — no custom backoff algorithms"],"requires":["Configuration of retry parameters (max attempts, backoff multiplier)","Notification destination setup (email, Slack, webhook)","Understanding of which errors are transient vs permanent"],"input_types":["retry configuration (max attempts, backoff strategy)","error type filters","notification preferences"],"output_types":["retry execution logs","failure notifications","alternative workflow triggers"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_7","uri":"capability://automation.workflow.workflow.execution.history.and.audit.logging","name":"workflow execution history and audit logging","description":"Maintains a complete log of every workflow execution including timestamp, trigger type (scheduled/webhook), execution duration, success/failure status, and full step-by-step execution trace. Users can filter execution history by date range, status, or trigger type, and drill into individual executions to inspect intermediate results and error messages. Audit logs are immutable and retained for compliance purposes.","intents":["I want to see when a workflow last ran and whether it succeeded","I need to debug a specific workflow execution that failed","I want to audit which automations ran and what data they processed"],"best_for":["Teams requiring audit trails for compliance (SOC 2, HIPAA, etc.)","Organizations debugging intermittent workflow failures","Users monitoring automation health and performance"],"limitations":["Execution logs are retained for limited time (30 days default) — long-term archival requires export","No built-in analytics or aggregation — users must export logs for trend analysis","Sensitive data in logs may require redaction before sharing"],"requires":["Magic Loops account with audit log access","Sufficient storage quota for log retention","Permissions to view execution history"],"input_types":["workflow execution event","step execution trace","error details"],"output_types":["execution history list","detailed execution trace","audit log export (CSV/JSON)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_8","uri":"capability://automation.workflow.workflow.sharing.and.collaboration.with.role.based.access.control","name":"workflow sharing and collaboration with role-based access control","description":"Allows users to share workflows with team members with granular permissions (view-only, edit, execute, delete). Shared workflows maintain a single source of truth — changes made by one user are immediately visible to others. Role-based access control (RBAC) restricts who can modify, execute, or delete workflows. Audit logs track which user made which changes and when.","intents":["I want to share a workflow with my team so others can use it","I need to prevent junior team members from modifying critical workflows","I want to track who made changes to a workflow and when"],"best_for":["Teams collaborating on shared automations","Organizations with governance requirements around workflow modifications","Enterprises needing fine-grained access control"],"limitations":["No built-in version control — only current version is accessible (no rollback to previous versions)","Concurrent editing may cause conflicts — last-write-wins semantics","Permissions are per-workflow — no organization-wide role definitions"],"requires":["Magic Loops team/organization account","Team members with active accounts","Role definitions configured by account administrator"],"input_types":["user email or ID","role assignment (viewer, editor, executor, admin)","workflow ID"],"output_types":["shared workflow access","permission change audit log","collaboration notifications"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-magic-loops__cap_9","uri":"capability://automation.workflow.workflow.templates.and.reusable.automation.patterns","name":"workflow templates and reusable automation patterns","description":"Provides a library of pre-built workflow templates for common automation scenarios (e.g., 'send Slack notification on new email', 'backup Airtable to Google Drive', 'sync Notion database to Slack'). Templates are parameterized — users customize them by providing app credentials and configuration values without modifying the underlying workflow logic. Templates can be created by users and shared with the community or within an organization.","intents":["I want to quickly set up a common automation without building from scratch","I want to standardize automation patterns across my team","I want to share a workflow template with others in my organization"],"best_for":["Users automating common scenarios (notifications, backups, syncs)","Teams standardizing on automation patterns","Organizations building internal template libraries"],"limitations":["Templates are limited to pre-built patterns — highly custom workflows cannot be templated","Template parameters are limited to simple values (strings, booleans) — complex nested configs not supported","No version control for templates — updates overwrite previous versions"],"requires":["Magic Loops account with template access","Understanding of template parameters","Credentials for apps referenced in the template"],"input_types":["template selection","parameter values (app credentials, configuration)","customization options"],"output_types":["instantiated workflow","configured automation ready to execute","template documentation"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Magic Loops account with authentication","API credentials for any third-party services being integrated","Active account with supported SaaS application","OAuth permissions granted during initial connector setup","Magic Loops account with integration permissions enabled","Knowledge of the target API's endpoint, method, and request/response format","API credentials (API key, token, etc.)","Understanding of HTTP and JSON","Magic Loops account with automation creation permissions"],"failure_modes":["Complex conditional logic with nested branches may require manual workflow editing","Ambiguous natural language descriptions may require multiple clarification rounds","Limited to pre-built action types — custom business logic requires fallback to visual editor","Limited to pre-built connectors — unsupported apps require custom HTTP request actions","Rate limiting on third-party APIs is not automatically managed — users must implement backoff logic","OAuth token refresh failures may require manual re-authentication","No built-in request validation — malformed requests fail at runtime","Authentication must be manually configured — no OAuth support for custom APIs","Response parsing is limited to JSON — XML or binary responses require custom handling","Minimum scheduling granularity is 1 minute — sub-minute precision not supported","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.32,"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":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:10.321Z","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=magic-loops","compare_url":"https://unfragile.ai/compare?artifact=magic-loops"}},"signature":"P3P8f3IgsMkbDoGnqN3HwZmN+7G04lmJSj3o0StLAK58GGWxhcDj06gg8hWdpB5E9I5HDHSBQWusvvRXNwJdDg==","signedAt":"2026-06-20T14:38:31.073Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/magic-loops","artifact":"https://unfragile.ai/magic-loops","verify":"https://unfragile.ai/api/v1/verify?slug=magic-loops","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"}}