{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"pipedream","slug":"pipedream","name":"Pipedream","type":"platform","url":"https://github.com/PipedreamHQ/pipedream","page_url":"https://unfragile.ai/pipedream","categories":["automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"pipedream__cap_0","uri":"capability://automation.workflow.event.driven.workflow.orchestration.with.multi.language.code.execution","name":"event-driven workflow orchestration with multi-language code execution","description":"Pipedream executes serverless workflows triggered by events (webhooks, schedules, manual triggers) with support for Node.js, Python, Go, and Bash code steps. Each workflow step runs in isolated containers with automatic dependency management and state passing between steps via JSON serialization. The platform handles infrastructure provisioning, scaling, and execution logging without requiring users to manage servers or containerization.","intents":["I want to build an automation that runs when a webhook fires and executes custom code without managing infrastructure","I need to chain multiple code steps together where output from one step feeds into the next","I want to write automation logic in my preferred language (Python, Node.js, Go, or Bash) without learning a DSL"],"best_for":["Full-stack developers building event-driven integrations","Teams automating cross-platform workflows without DevOps overhead","Developers migrating from cron jobs or Lambda functions to a managed platform"],"limitations":["Step execution timeout limits (typically 30 seconds per step for free tier, longer for paid)","Memory constraints per execution environment (varies by plan)","No persistent local filesystem between workflow runs — requires external storage for state","Cold start latency on first execution after deployment"],"requires":["Pipedream account (free tier available)","Basic understanding of event-driven architecture","Familiarity with at least one supported language (Node.js, Python, Go, Bash)"],"input_types":["HTTP webhooks (JSON, form-encoded, raw)","Scheduled triggers (cron expressions)","Manual triggers","Event source outputs from integrated apps"],"output_types":["HTTP responses","Logs and execution history","State passed to downstream steps","API calls to external services"],"categories":["automation-workflow","code-execution"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_1","uri":"capability://tool.use.integration.pre.built.integration.component.library.with.2000.apps","name":"pre-built integration component library with 2000+ apps","description":"Pipedream maintains a monorepo of 1000+ open-source integration components (actions and event sources) for popular SaaS platforms, APIs, and services. Each component is a TypeScript/JavaScript module that encapsulates authentication, API interaction, and data transformation logic. Components are published to npm and can be discovered, configured, and used in workflows via the Pipedream UI or programmatically via the SDK, with automatic schema validation and property binding.","intents":["I want to trigger a workflow when a new row is added to a Google Sheet without writing API code","I need to send data to Slack, create a Notion database entry, or update a CRM without managing OAuth flows","I want to reuse pre-built integrations across multiple workflows without duplicating authentication logic"],"best_for":["Non-technical users building no-code workflows","Developers building integrations for popular SaaS tools","Teams standardizing on Pipedream for cross-app automation"],"limitations":["Coverage limited to 2000+ apps — custom APIs require custom code steps","Component quality and update frequency varies by community contribution","Some components may lag behind API changes in upstream services","Rate limiting and quota management delegated to individual component implementations"],"requires":["Pipedream account","API credentials or OAuth tokens for target service","No coding required for basic usage, but component customization requires TypeScript/JavaScript"],"input_types":["Component configuration (properties, credentials)","Data from previous workflow steps","User input via UI forms"],"output_types":["Structured data from API responses","Formatted objects matching component schema","Error objects with retry metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_10","uri":"capability://automation.workflow.scheduled.workflow.triggers.with.cron.expression.support","name":"scheduled workflow triggers with cron expression support","description":"Pipedream supports scheduling workflows to run on a recurring basis using cron expressions (e.g., `0 0 * * *` for daily at midnight). Scheduled workflows are triggered by Pipedream's internal scheduler, which manages timing, retry logic, and execution history. The system supports multiple timezones and handles daylight saving time transitions automatically. Scheduled workflows can be paused, resumed, or modified without redeploying the workflow.","intents":["I want to run a workflow every day at 9 AM to fetch data from an API and send a summary email","I need to schedule a workflow to run every 5 minutes to poll for new data","I want to run a workflow on a specific day and time (e.g., every Monday at 2 PM)"],"best_for":["Developers building scheduled automations (reports, data syncs, cleanup jobs)","Teams automating recurring tasks without managing cron servers","Users scheduling workflows with simple cron expressions"],"limitations":["Minimum scheduling interval is 5 minutes on free tier (1 minute on paid plans)","Cron expression syntax is standard Unix cron — no custom scheduling logic","Timezone handling is manual — must specify timezone in cron expression or workflow config","No built-in backoff or retry logic for failed scheduled executions","Scheduled workflow execution is not guaranteed to run at exact time — may be delayed by platform load"],"requires":["Pipedream account with scheduling capability","Understanding of cron expression syntax","Timezone awareness for scheduling across regions"],"input_types":["Cron expressions (e.g., `0 0 * * *`)","Timezone configuration","Workflow definition"],"output_types":["Scheduled workflow executions","Execution logs and history","Timing metadata (scheduled time vs actual execution time)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_11","uri":"capability://code.generation.editing.custom.code.step.execution.with.language.specific.runtimes.and.dependency.management","name":"custom code step execution with language-specific runtimes and dependency management","description":"Pipedream allows developers to write custom code steps in Node.js, Python, Go, or Bash, with automatic dependency management via package managers (npm for Node.js, pip for Python, etc.). Each code step runs in an isolated container with access to the `steps` context object and environment variables. The platform handles runtime provisioning, dependency installation, and execution sandboxing, with support for importing npm packages, Python libraries, and system utilities.","intents":["I want to write a custom Node.js step that transforms data from one API into a format for another API","I need to run a Python script to process data without managing a Python environment","I want to use a specific npm package in my workflow step without installing it locally"],"best_for":["Developers building complex workflows with custom logic","Teams automating processes that require data transformation or business logic","Users leveraging existing code libraries (npm packages, Python libraries) in workflows"],"limitations":["Code step execution timeout (typically 30 seconds on free tier, longer on paid)","Memory limits per execution (varies by plan)","No persistent filesystem between executions — temporary files are deleted","Dependency installation adds latency to first execution (cold start)","Limited system utilities available in sandboxed environment (no shell access, restricted syscalls)","Debugging is limited to console output — no interactive debugger"],"requires":["Knowledge of at least one supported language (Node.js, Python, Go, Bash)","Understanding of async/await or equivalent concurrency model","API credentials for external services (passed via environment variables)"],"input_types":["Custom code (Node.js, Python, Go, Bash)","Dependencies (npm packages, pip packages, etc.)","Environment variables and secrets","Context from previous steps"],"output_types":["Step output (any JSON-serializable data)","Console output (logs)","Error messages and stack traces"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_12","uri":"capability://automation.workflow.workflow.version.control.and.deployment.via.git.integration","name":"workflow version control and deployment via git integration","description":"Pipedream workflows can be version-controlled via Git, with workflow definitions stored as YAML or JSON files in a GitHub repository. The platform supports automatic deployment of workflows on Git push (via GitHub Actions or webhooks), enabling CI/CD workflows for workflow changes. Developers can review workflow changes via pull requests, with automated validation (linting, type checking) before merging. The system maintains a deployment history with rollback capability.","intents":["I want to version-control my workflows in Git and deploy changes via pull requests","I need to review workflow changes before deploying them to production","I want to automate workflow deployment as part of my CI/CD pipeline"],"best_for":["Teams managing multiple workflows with version control requirements","Developers integrating Pipedream workflows into existing CI/CD pipelines","Organizations requiring code review and approval workflows for automation changes"],"limitations":["Git integration requires manual setup (GitHub Actions or webhook configuration)","Workflow definitions must be manually converted to YAML/JSON format","No built-in conflict resolution for concurrent workflow edits","Rollback is manual — no automatic rollback on deployment failure","Git history is separate from Pipedream's execution history — difficult to correlate changes with executions"],"requires":["GitHub account and repository","Understanding of Git workflows and pull requests","GitHub Actions or webhook configuration for deployment automation","YAML or JSON knowledge for workflow definitions"],"input_types":["Workflow definitions (YAML or JSON)","Git commits and pull requests","Deployment triggers (push, pull request, manual)"],"output_types":["Deployed workflows","Deployment history and logs","Rollback confirmations"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_13","uri":"capability://automation.workflow.error.handling.and.retry.logic.with.exponential.backoff","name":"error handling and retry logic with exponential backoff","description":"Pipedream provides built-in error handling and retry mechanisms for workflow steps. Failed steps can be configured to retry automatically with exponential backoff (e.g., 1s, 2s, 4s, 8s delays between retries). Developers can define custom error handlers that catch exceptions and decide whether to retry, skip, or fail the entire workflow. The system captures error stack traces and makes them available in logs for debugging.","intents":["I want my workflow to automatically retry a failed API call with exponential backoff","I need to handle transient errors (network timeouts, rate limits) without failing the entire workflow","I want to log errors and send alerts when a workflow step fails after all retries"],"best_for":["Developers building resilient workflows that handle transient failures","Teams automating critical processes that require high reliability","Users integrating with flaky APIs that occasionally fail"],"limitations":["Retry logic is step-level — cannot retry entire workflow","Exponential backoff configuration is limited (no custom backoff strategies)","Retry count limits are fixed (typically 3 retries on free tier)","No circuit breaker pattern — will keep retrying even if service is down","Error handlers are code-based — no visual error handling UI"],"requires":["Understanding of error handling and retry patterns","Code knowledge for custom error handlers","Configuration of retry limits and backoff parameters"],"input_types":["Error objects from failed steps","Retry configuration (count, backoff strategy)","Custom error handler code"],"output_types":["Retry attempts with timing metadata","Error logs and stack traces","Final error state (success or failure after all retries)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_2","uri":"capability://tool.use.integration.dynamic.property.resolution.with.conditional.field.dependencies","name":"dynamic property resolution with conditional field dependencies","description":"Pipedream's component system supports dynamic property definitions where field visibility, validation, and available options depend on values of other fields. Properties are defined as TypeScript objects with async resolvers that fetch options from APIs (e.g., list of Slack channels, Google Sheet tabs) at configuration time. The system handles caching, error handling, and UI re-rendering when dependent properties change, enabling complex multi-step configuration flows without custom code.","intents":["I want to select a Slack workspace, then channel, then message thread — with each step showing only valid options","I need to configure a component where available fields depend on the selected API endpoint or resource","I want to validate user input against live API data without writing custom validation logic"],"best_for":["Component developers building complex integrations with nested resources","Teams building white-label workflow builders using Pipedream's SDK","Developers reducing configuration friction in multi-step workflows"],"limitations":["Async property resolution adds latency to configuration UI (typically 500ms-2s per resolution)","Caching strategy is component-specific — no global cache invalidation mechanism","Complex dependency chains (A depends on B, B depends on C) can cause cascading API calls","No built-in rate limiting for property resolution — components must implement their own"],"requires":["TypeScript/JavaScript knowledge for component development","Understanding of async/await and Promise-based APIs","Access to target service APIs for fetching dynamic options"],"input_types":["Component property definitions (TypeScript objects)","User selections from previous fields","API credentials for fetching options"],"output_types":["Filtered property options (arrays of strings, objects, or custom types)","Validation results (pass/fail with error messages)","Updated UI state with re-rendered fields"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_3","uri":"capability://automation.workflow.webhook.based.event.source.ingestion.with.instant.and.polling.modes","name":"webhook-based event source ingestion with instant and polling modes","description":"Pipedream provides two mechanisms for ingesting events from external services: instant webhooks (services push events to Pipedream URLs) and polling sources (Pipedream periodically fetches data from APIs). Event sources are components that emit structured events into workflows, with built-in deduplication, error handling, and state management. The platform handles webhook URL generation, signature verification, and automatic retry logic, while polling sources manage cursor-based pagination and timestamp tracking to avoid duplicate processing.","intents":["I want to trigger a workflow instantly when GitHub pushes a webhook event without managing a public server","I need to poll an API every 5 minutes for new data and trigger workflows only for items I haven't seen before","I want to ingest events from multiple sources (webhooks + polling) into a single workflow without writing polling logic"],"best_for":["Developers building event-driven automations without managing webhook infrastructure","Teams integrating with services that support webhooks or have queryable APIs","Users needing reliable event deduplication and retry logic out-of-the-box"],"limitations":["Instant webhooks require target service to support outbound webhooks (not all services do)","Polling sources have minimum interval limits (typically 5 minutes on free tier, configurable on paid)","Webhook signature verification is component-specific — not all services supported","State management for polling (cursors, timestamps) is in-memory and lost on deployment","No built-in circuit breaker for failing polling sources — can accumulate errors"],"requires":["Pipedream account with webhook URL generation capability","For instant webhooks: target service must support outbound webhooks","For polling: API credentials and knowledge of pagination/filtering mechanisms"],"input_types":["HTTP POST requests (for instant webhooks)","API responses (for polling sources)","Webhook signatures and headers"],"output_types":["Structured event objects emitted to workflows","Deduplication metadata (event IDs, timestamps)","Error logs and retry metadata"],"categories":["automation-workflow","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_4","uri":"capability://tool.use.integration.pipedream.connect.sdk.for.programmatic.workflow.building.and.embedding","name":"pipedream connect sdk for programmatic workflow building and embedding","description":"The Pipedream Connect SDK provides TypeScript/JavaScript APIs for programmatically building, configuring, and embedding workflows outside the Pipedream UI. The SDK includes BackendClient (server-side API for workflow management) and BrowserClient (client-side UI components for embedding workflow builders in web apps). Developers can use the SDK to create custom workflow builders, embed component configuration forms in their own applications, and manage authentication tokens for multi-tenant scenarios.","intents":["I want to embed a workflow builder UI in my SaaS product so customers can create automations without leaving my app","I need to programmatically create and deploy workflows from my backend without using the Pipedream UI","I want to build a white-label integration platform on top of Pipedream's infrastructure"],"best_for":["SaaS founders building embedded automation features for customers","Teams creating custom workflow builders with Pipedream as the execution backend","Developers integrating Pipedream into larger automation platforms"],"limitations":["SDK documentation is sparse — requires reading source code for advanced use cases","BrowserClient requires React (no vanilla JS or Vue support)","Token management and multi-tenant isolation is developer's responsibility","No built-in UI customization beyond theming — component forms are mostly fixed","SDK versioning and breaking changes not well-documented"],"requires":["TypeScript or JavaScript knowledge","React 16.8+ for BrowserClient (hooks-based)","Node.js 14+ for BackendClient","Pipedream API credentials (API key and workspace ID)","Understanding of OAuth flows for multi-tenant auth"],"input_types":["Workflow definitions (JSON or TypeScript objects)","Component configurations","User credentials and tokens","Custom React components for UI customization"],"output_types":["Deployed workflows with execution URLs","Rendered component configuration forms","Workflow execution results and logs","Token refresh responses"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_5","uri":"capability://tool.use.integration.component.form.system.with.schema.based.validation.and.theming","name":"component form system with schema-based validation and theming","description":"Pipedream's ComponentForm system renders configuration UIs for workflow steps based on TypeScript property definitions. The system handles schema validation, error display, conditional field rendering, and custom input types (text, select, multiselect, code editor, etc.). Forms support theming via CSS variables and can be embedded in external applications via the Connect React package, with automatic handling of required fields, default values, and async property resolution.","intents":["I want to render a configuration form for a Pipedream component in my web app with custom branding","I need to validate user input against component schemas before submitting to Pipedream","I want to build a custom workflow builder with component configuration forms that match my app's design system"],"best_for":["SaaS developers embedding Pipedream components in their UIs","Teams building custom workflow builders with consistent styling","Developers reducing form-building boilerplate for integration configuration"],"limitations":["Form rendering is opinionated — limited customization beyond theming","No support for custom input types beyond built-in types (text, select, code editor, etc.)","Validation errors are component-specific — no global error handling strategy","Form state management is component-internal — difficult to integrate with external state managers (Redux, Zustand)","Accessibility features (ARIA labels, keyboard navigation) are minimal"],"requires":["React 16.8+ (hooks-based)","TypeScript knowledge for property definitions","CSS knowledge for theming customization","@pipedream/connect-react package"],"input_types":["Component property definitions (TypeScript objects)","User input (text, selections, code)","Theme configuration (CSS variables)"],"output_types":["Rendered HTML form elements","Validated configuration objects","Error messages and validation feedback"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_6","uri":"capability://tool.use.integration.multi.tenant.authentication.and.token.management.via.connect.api","name":"multi-tenant authentication and token management via connect api","description":"Pipedream's Connect API provides server-side endpoints for managing user authentication, token generation, and workspace isolation in multi-tenant scenarios. The API handles OAuth token refresh, credential encryption, and user session management, allowing SaaS platforms to authenticate users and generate short-lived tokens for embedding Pipedream UIs. The system supports both user-level and workspace-level authentication with automatic token expiration and refresh logic.","intents":["I want to authenticate my SaaS users with Pipedream and embed workflow builders without exposing API keys","I need to generate short-lived tokens for my frontend to use Pipedream APIs securely","I want to manage multiple Pipedream workspaces for different customer accounts with automatic token refresh"],"best_for":["SaaS platforms embedding Pipedream for multi-tenant customers","Teams building secure integration platforms with token-based auth","Developers implementing OAuth flows for Pipedream workspace access"],"limitations":["Token refresh logic is developer's responsibility — no automatic refresh on the client side","No built-in rate limiting for token generation — developers must implement their own","Token expiration times are fixed — not customizable per use case","Workspace isolation is enforced at the API level — requires correct token usage","No audit logging for token generation and usage"],"requires":["Pipedream API credentials (API key and workspace ID)","Backend server for token generation (cannot generate tokens from frontend)","Understanding of OAuth and token-based authentication","HTTPS for all token transmission"],"input_types":["User credentials or OAuth tokens","Workspace IDs","Token refresh requests"],"output_types":["Short-lived access tokens (JWT or opaque tokens)","Token expiration metadata","Workspace context information"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_7","uri":"capability://code.generation.editing.typescript.first.component.development.with.incremental.builds.and.tree.shaking","name":"typescript-first component development with incremental builds and tree-shaking","description":"Pipedream's component development system uses TypeScript with a custom build pipeline (tsup-based) that compiles components to CommonJS and ES modules with automatic dependency bundling and tree-shaking. The monorepo structure supports incremental builds via composite TypeScript projects, enabling fast development iteration. Components are published to npm as individual packages, with automatic version management and validation via CI/CD pipelines that check for breaking changes, missing documentation, and test coverage.","intents":["I want to develop a new Pipedream integration component with TypeScript and publish it to npm","I need to build components with shared utilities and dependencies without duplicating code","I want to ensure my component follows Pipedream's standards and doesn't break existing workflows"],"best_for":["TypeScript developers building Pipedream integrations","Teams maintaining multiple components with shared code","Contributors to the open-source Pipedream component library"],"limitations":["TypeScript-only — no support for JavaScript-only components","Build system is tightly coupled to Pipedream's monorepo structure — difficult to use outside the repo","Incremental builds require proper TypeScript configuration — misconfiguration can cause full rebuilds","Tree-shaking effectiveness depends on component code structure — poorly written code may not tree-shake well","CI/CD validation is strict — components must pass linting, type checking, and tests before publishing"],"requires":["TypeScript 4.5+","Node.js 14+","npm or pnpm for package management","Understanding of CommonJS and ES module formats","Git for version control and CI/CD integration"],"input_types":["TypeScript source files (.ts)","Component definitions and property schemas","Test files (Jest-based)"],"output_types":["Compiled CommonJS and ES modules","npm packages with version metadata","Build artifacts and source maps"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_8","uri":"capability://automation.workflow.workflow.state.persistence.and.step.to.step.data.passing.via.json.serialization","name":"workflow state persistence and step-to-step data passing via json serialization","description":"Pipedream workflows maintain state across steps by serializing step outputs to JSON and passing them to downstream steps as context. Each step receives a `steps` object containing outputs from all previous steps, enabling data chaining without explicit variable passing. The system handles JSON serialization/deserialization automatically, with support for complex objects, arrays, and nested structures. State is ephemeral (lost after workflow execution) unless explicitly persisted to external storage (databases, files, etc.).","intents":["I want to use the output from one step as input to the next step without writing glue code","I need to access data from multiple previous steps in a single step (e.g., combine results from two API calls)","I want to debug workflows by inspecting intermediate step outputs"],"best_for":["Developers building multi-step workflows with data dependencies","Teams automating complex processes with multiple API calls","Users debugging workflow logic by inspecting step outputs"],"limitations":["State is ephemeral — lost after workflow execution (no persistence by default)","Large step outputs can cause memory issues — no built-in size limits or compression","JSON serialization can fail for circular references or non-serializable objects (functions, symbols)","No built-in state versioning or rollback — difficult to recover from corrupted state","Accessing deeply nested step outputs requires verbose dot notation (e.g., `steps.step1.data.nested.value`)"],"requires":["Understanding of JSON serialization and object references","Knowledge of Pipedream's `steps` context object","For persistence: external storage service (database, file storage, etc.)"],"input_types":["Step outputs (any JSON-serializable data)","Context objects from previous steps","User input and configuration"],"output_types":["JSON-serialized step outputs","Context objects passed to downstream steps","Logs and execution history"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pipedream__cap_9","uri":"capability://automation.workflow.workflow.execution.logging.and.debugging.with.step.level.introspection","name":"workflow execution logging and debugging with step-level introspection","description":"Pipedream provides detailed execution logs for each workflow run, with step-level granularity showing inputs, outputs, duration, and errors for each step. Logs are stored in the Pipedream platform and accessible via the UI and API, with filtering by step, status, and timestamp. The system captures console output (console.log, console.error) from code steps and includes stack traces for errors, enabling developers to debug workflows without local debugging tools.","intents":["I want to see what data was passed between steps in a failed workflow to understand where it broke","I need to debug a workflow by inspecting console.log output from my code steps","I want to monitor workflow performance by checking step execution times and identifying bottlenecks"],"best_for":["Developers debugging failing workflows","Teams monitoring workflow performance and reliability","Users troubleshooting integration issues without local debugging tools"],"limitations":["Log retention is limited (varies by plan) — old logs are deleted after retention period","No real-time log streaming — logs are available after step execution completes","Log search is basic (filtering by step, status, timestamp) — no full-text search or regex","Large logs can be truncated — no pagination or 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awareness for scheduling across regions","Knowledge of at least one supported language (Node.js, Python, Go, Bash)"],"failure_modes":["Step execution timeout limits (typically 30 seconds per step for free tier, longer for paid)","Memory constraints per execution environment (varies by plan)","No persistent local filesystem between workflow runs — requires external storage for state","Cold start latency on first execution after deployment","Coverage limited to 2000+ apps — custom APIs require custom code steps","Component quality and update frequency varies by community contribution","Some components may lag behind API changes in upstream services","Rate limiting and quota management delegated to individual component implementations","Minimum scheduling interval is 5 minutes on free tier (1 minute on paid plans)","Cron expression syntax is standard Unix cron — no custom scheduling logic","builder identity is not verified yet","no observed match outcomes 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