{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_lindy-ai","slug":"lindy-ai","name":"Lindy AI","type":"product","url":"https://www.lindy.ai","page_url":"https://unfragile.ai/lindy-ai","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_lindy-ai__cap_0","uri":"capability://automation.workflow.visual.workflow.builder.with.drag.and.drop.automation.composition","name":"visual workflow builder with drag-and-drop automation composition","description":"Lindy provides a no-code visual canvas where users drag pre-built action blocks (triggers, conditions, integrations) and connect them with data flow lines to construct multi-step automation sequences. The builder abstracts away API authentication, request formatting, and error handling by presenting simplified UI forms for each integration, automatically translating user selections into backend API calls and conditional logic without requiring code generation or manual API documentation review.","intents":["I want to build a workflow that triggers when a Slack message arrives and automatically creates a CRM record without writing any code","I need to set up conditional logic (if-then-else) to route customer support tickets to different teams based on priority without touching code","I want to chain multiple app integrations together so data flows from email → parsing → database → notification without manual data mapping"],"best_for":["non-technical business users and customer support teams","small business operators automating internal processes","teams without dedicated engineering resources"],"limitations":["Complex conditional logic with nested branches becomes difficult to visualize and maintain in the UI","Custom data transformations beyond simple field mapping require workarounds or external tools","No version control or rollback mechanism for workflow changes, risking production automation breaks"],"requires":["Web browser with modern JavaScript support","Active Lindy account (free or paid tier)","API credentials for connected third-party services (Slack, email, CRM, etc.)"],"input_types":["trigger events (webhook, scheduled, app event)","user form inputs","data from connected integrations"],"output_types":["API calls to connected services","workflow execution logs","data passed to downstream steps"],"categories":["automation-workflow","no-code-platform"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_1","uri":"capability://automation.workflow.pre.built.ai.agent.templates.for.common.business.workflows","name":"pre-built ai agent templates for common business workflows","description":"Lindy offers a library of pre-configured workflow templates (customer support bot, lead qualification, email responder, etc.) that bundle together trigger logic, LLM prompts, integration steps, and error handling into a single deployable unit. Users can clone a template, customize prompts and connected apps, and launch without building from scratch, reducing time-to-automation from hours to minutes for standard use cases.","intents":["I want to quickly deploy a customer support chatbot that answers FAQs without building the entire workflow myself","I need a lead qualification workflow that uses AI to score inbound prospects and route them to sales, but I don't want to design the logic from scratch","I want to set up an email responder that uses AI to draft replies to common customer inquiries automatically"],"best_for":["small teams with repetitive, well-defined processes","businesses new to automation seeking quick wins","non-technical founders prototyping MVP automation"],"limitations":["Template library is smaller than competitors (Make, Zapier), limiting coverage for niche industries","Customizing templates beyond simple prompt/app swaps often requires rebuilding from scratch","Templates may not reflect best practices for specific business contexts, requiring manual refinement"],"requires":["Lindy account with template access","API keys for LLM provider (OpenAI, Anthropic, or Lindy's default)","Connected app credentials for integrations used in template"],"input_types":["template selection","custom prompt text","app integration credentials"],"output_types":["deployed workflow instance","execution logs and performance metrics"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_10","uri":"capability://automation.workflow.variable.and.context.management.across.workflow.steps","name":"variable and context management across workflow steps","description":"Lindy maintains a context object that persists data across workflow steps, allowing users to store and reference variables (workflow inputs, step outputs, computed values) throughout execution. Variables can be set explicitly in steps or automatically captured from previous step outputs, and referenced in downstream steps using template syntax (e.g., {{variable_name}}). This enables data reuse and reduces redundant API calls by caching intermediate results.","intents":["I want to capture a customer ID from the first step and reuse it in multiple downstream steps without re-querying the database","I need to store a computed value (like a generated token) and pass it to multiple subsequent steps","I want to reference workflow input variables throughout the workflow to personalize messages or filter data"],"best_for":["users building multi-step workflows with data reuse","teams optimizing workflows to reduce redundant API calls","non-technical users managing workflow state"],"limitations":["Variable scope is global to the workflow; no local scoping or namespace isolation","No built-in variable validation or type checking; type mismatches may cause silent failures","Variable size limits may apply; storing large objects or arrays could cause performance issues"],"requires":["Lindy workflow with multiple steps","Variable definition (explicit or auto-captured from step output)"],"input_types":["variable name and value","step output field to capture","literal value or expression"],"output_types":["variable reference in downstream steps","variable value passed to step inputs"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_11","uri":"capability://text.generation.language.multi.language.support.and.localization.for.global.workflows","name":"multi-language support and localization for global workflows","description":"Lindy supports workflow creation and execution in multiple languages, with UI localization and support for non-English prompts and data processing. The platform can handle multilingual input data and route to language-specific processing steps, enabling teams to build workflows that serve international customers without language barriers.","intents":["I want to build a customer support workflow that automatically responds in the customer's language (Spanish, French, German, etc.)","I need to process customer data from multiple countries with different date and currency formats","I want to create a workflow that detects the language of incoming messages and routes to language-specific processing"],"best_for":["global teams serving international customers","businesses with multilingual customer bases","teams automating workflows across multiple languages"],"limitations":["Language detection accuracy depends on LLM provider; may fail for low-resource languages","Localization is limited to UI and basic data formatting; complex language-specific business logic requires manual handling","No built-in translation service; requires external translation API integration"],"requires":["Lindy account with multilingual support enabled","LLM provider capable of processing multiple languages"],"input_types":["multilingual text input","language preference or auto-detection"],"output_types":["language-specific processing and responses","localized data formatting"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_12","uri":"capability://automation.workflow.rate.limiting.and.cost.control.for.api.and.llm.usage","name":"rate limiting and cost control for api and llm usage","description":"Lindy provides controls to limit workflow execution frequency and API call volume, preventing runaway costs from excessive LLM usage or API calls. Users can set execution caps (max runs per day/month), step-level rate limits, and cost budgets that pause workflows when thresholds are exceeded. This prevents surprise bills from high-volume automation or LLM token consumption.","intents":["I want to limit my workflow to run no more than 100 times per day to control LLM costs","I need to set a monthly budget cap so my automation stops if costs exceed a threshold","I want to rate-limit API calls to a third-party service to avoid hitting their rate limits"],"best_for":["teams managing automation costs","businesses with limited budgets for LLM and API usage","operators preventing runaway costs from high-volume workflows"],"limitations":["Cost controls are reactive (pause on threshold) rather than proactive (optimize before threshold)","No granular cost breakdown by step or integration; only aggregate workflow costs visible","Rate limiting is workflow-level; no cross-workflow rate limiting or shared quotas"],"requires":["Lindy account with cost control features enabled","Budget or rate limit configuration"],"input_types":["execution cap (runs per day/month)","cost budget (USD or token limit)","rate limit (requests per minute)"],"output_types":["workflow pause when limits exceeded","cost and usage alerts"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_2","uri":"capability://tool.use.integration.multi.app.integration.with.automatic.credential.management.and.oauth.flow","name":"multi-app integration with automatic credential management and oauth flow","description":"Lindy maintains a catalog of 500+ pre-built connectors (Slack, Gmail, Salesforce, HubSpot, Stripe, etc.) with built-in OAuth 2.0 and API key handling that abstracts authentication complexity. When a user selects an app in the workflow builder, Lindy handles the full OAuth redirect flow, securely stores encrypted credentials in its backend, and automatically refreshes tokens, eliminating manual API key management and reducing security risks from hardcoded credentials.","intents":["I want to connect my Slack workspace to a workflow without manually managing API tokens or OAuth redirects","I need to pull customer data from Salesforce and push updates back without exposing API keys in my workflow","I want to trigger actions across 5 different apps (email, CRM, Slack, database, payment processor) in a single workflow without managing separate authentication for each"],"best_for":["teams managing multiple SaaS tools","businesses prioritizing security and credential isolation","non-technical users who shouldn't handle API keys"],"limitations":["Connector library covers popular tools but lacks integrations for niche or enterprise-specific systems","Custom API integrations require manual setup or workarounds, not supported in no-code builder","Token refresh failures can silently break workflows if monitoring isn't configured"],"requires":["Lindy account with integration access","OAuth-enabled app account or API key for target service","Appropriate permissions/scopes granted during OAuth flow"],"input_types":["app selection from catalog","OAuth authorization grant","API credentials (if OAuth unavailable)"],"output_types":["authenticated API connection","encrypted credential storage reference","data from connected app"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_3","uri":"capability://text.generation.language.ai.powered.natural.language.prompt.engineering.with.llm.provider.abstraction","name":"ai-powered natural language prompt engineering with llm provider abstraction","description":"Lindy embeds LLM capabilities (via OpenAI, Anthropic, or proprietary models) directly into workflow steps, allowing users to write natural language prompts in a text field that get executed against incoming data. The platform abstracts provider selection and model switching, automatically formatting context (previous step outputs, workflow variables) as LLM input and parsing structured outputs (JSON, classifications) without requiring users to write prompt engineering code or manage API calls directly.","intents":["I want to use AI to analyze customer support tickets and classify them by urgency without writing Python code","I need to generate personalized email responses based on customer inquiry text using a large language model","I want to extract structured data (name, email, product interest) from unstructured customer messages using AI"],"best_for":["non-technical users leveraging AI for text analysis and generation","teams automating content generation or classification tasks","businesses without ML expertise needing AI capabilities"],"limitations":["Prompt quality depends entirely on user-written prompts; no built-in prompt optimization or testing framework","LLM costs scale with workflow execution volume; no cost controls or rate limiting visible to users","Output parsing is basic (regex or JSON extraction); complex multi-step reasoning chains require manual orchestration"],"requires":["Lindy account with LLM integration enabled","API key for LLM provider (OpenAI, Anthropic) or use of Lindy's default provider","Input data from previous workflow steps or external sources"],"input_types":["natural language prompt text","context variables from workflow","unstructured text data"],"output_types":["LLM-generated text","parsed structured data (JSON, classifications)","confidence scores or metadata"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_4","uri":"capability://automation.workflow.scheduled.and.event.triggered.workflow.execution.with.retry.logic","name":"scheduled and event-triggered workflow execution with retry logic","description":"Lindy supports multiple trigger types (webhook, scheduled cron, app event, manual) that initiate workflow execution. When a trigger fires, the platform queues the execution, runs steps sequentially or in parallel based on workflow design, and implements automatic retry logic with exponential backoff for failed API calls. Execution state (running, completed, failed) is tracked and logged, with failed executions optionally retried after a delay without user intervention.","intents":["I want a workflow to run every morning at 9 AM to pull overnight customer data and send a summary email","I need a webhook-triggered workflow that fires whenever a new Stripe payment is received and automatically creates an invoice in my accounting system","I want failed workflow steps to automatically retry up to 3 times before alerting me, so transient API errors don't break my automation"],"best_for":["teams automating time-sensitive or event-driven processes","businesses requiring reliable automation with fault tolerance","operations teams managing background jobs without infrastructure"],"limitations":["Retry logic is basic (exponential backoff only); no circuit breaker or dead-letter queue for permanently failed executions","Scheduled workflows have minute-level granularity; sub-minute scheduling not supported","No built-in alerting or notification when workflows fail; requires manual monitoring or external integration"],"requires":["Lindy account with execution engine access","Webhook URL or app event subscription for event-triggered workflows","Cron expression or time zone for scheduled workflows"],"input_types":["trigger event (webhook payload, scheduled time, app event)","workflow definition with steps"],"output_types":["execution logs with timestamps","success/failure status","error messages and retry attempts"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_5","uri":"capability://data.processing.analysis.data.transformation.and.field.mapping.between.workflow.steps","name":"data transformation and field mapping between workflow steps","description":"Lindy provides a data mapper interface that allows users to visually map output fields from one step to input fields of the next step, with support for simple transformations (concatenation, case conversion, date formatting) without writing code. The mapper displays available fields from the previous step's output and lets users drag-and-drop or select fields to populate downstream step inputs, automatically handling type coercion and null value defaults.","intents":["I want to take the customer name from a form submission and automatically populate it in a CRM record creation step","I need to combine first name and last name fields into a full name field before sending to an email template","I want to convert a date from one format to another (ISO 8601 to MM/DD/YYYY) when passing it between steps"],"best_for":["non-technical users connecting apps with different data schemas","teams automating data flow between systems without ETL tools","businesses with simple field mapping needs"],"limitations":["Complex transformations (nested JSON, array operations, conditional logic) require workarounds or external tools","No support for custom functions or expressions; limited to built-in transformation functions","Mapping errors (type mismatches, missing fields) may fail silently or cause downstream step failures"],"requires":["Lindy workflow with at least two connected steps","Output schema from previous step (auto-detected from execution or manual definition)","Input schema for target step"],"input_types":["field selection from previous step output","transformation function selection","literal values or defaults"],"output_types":["mapped field values","transformed data passed to next step"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_6","uri":"capability://planning.reasoning.conditional.branching.and.decision.logic.without.code","name":"conditional branching and decision logic without code","description":"Lindy allows users to add conditional branches (if-then-else) to workflows by defining conditions on step outputs (e.g., 'if priority equals high, route to urgent queue; else route to standard queue'). Conditions are built using a visual rule builder with operators (equals, contains, greater than, regex match) applied to workflow variables or step outputs, automatically routing execution to different downstream steps based on condition evaluation without requiring code.","intents":["I want to route customer support tickets to different teams based on the ticket priority level","I need to skip a step if a customer already exists in my CRM to avoid duplicate records","I want to send different email templates based on whether a customer is a new lead or returning customer"],"best_for":["non-technical users building decision-driven workflows","teams automating conditional business logic","businesses with simple to moderate branching requirements"],"limitations":["Deeply nested conditions (more than 3-4 levels) become difficult to visualize and maintain","Complex boolean logic (AND/OR combinations) requires multiple condition blocks, increasing visual clutter","No support for switch-case patterns or pattern matching; only if-then-else chains"],"requires":["Lindy workflow with at least one step producing output","Condition definition using available fields and operators"],"input_types":["workflow variable or step output field","operator selection (equals, contains, regex, etc.)","comparison value (literal or field reference)"],"output_types":["execution path selection (true branch or false branch)","downstream step execution based on condition result"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_7","uri":"capability://automation.workflow.workflow.execution.monitoring.and.error.logging.with.audit.trail","name":"workflow execution monitoring and error logging with audit trail","description":"Lindy tracks all workflow executions with detailed logs showing step-by-step execution flow, input/output data, error messages, and timestamps. Users can view execution history, filter by status (success, failed, running), and inspect individual execution logs to debug failures. The platform maintains an audit trail of workflow changes and executions, enabling troubleshooting and compliance tracking without external logging infrastructure.","intents":["I want to see why a workflow failed and what error message was returned so I can fix the issue","I need to verify that a workflow executed successfully and see what data was processed","I want to track all changes made to a workflow for compliance and debugging purposes"],"best_for":["teams troubleshooting automation failures","businesses requiring execution audit trails for compliance","operators monitoring background jobs without dedicated logging infrastructure"],"limitations":["Log retention period not clearly specified; old logs may be purged after a certain time","No real-time alerting or notifications for failed executions; requires manual log checking","Limited filtering and search capabilities; no full-text search across execution logs"],"requires":["Lindy account with workflow execution history access","Executed workflow with logs available"],"input_types":["workflow execution ID or date range filter"],"output_types":["execution logs with step details","error messages and stack traces","input/output data for each step","audit trail of workflow changes"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_8","uri":"capability://automation.workflow.workflow.versioning.and.deployment.management","name":"workflow versioning and deployment management","description":"Lindy allows users to save workflow versions and manage deployments, enabling testing before production activation. Users can create a draft version, test it with sample data, and publish to production when ready. The platform tracks version history and allows rollback to previous versions if needed, reducing risk of breaking changes in live automations.","intents":["I want to test a workflow change in a draft environment before deploying it to production","I need to roll back a workflow to a previous version because the latest changes broke my automation","I want to see what changes were made to a workflow between versions for audit purposes"],"best_for":["teams managing multiple workflows in production","businesses requiring change control and testing","operators needing rollback capability for failed deployments"],"limitations":["No branching or parallel version management; only linear version history","No approval workflow or change request process; any user can deploy changes","Rollback is manual; no automatic rollback on execution failure"],"requires":["Lindy account with workflow editing access","Existing workflow to version"],"input_types":["workflow changes (step modifications, integration updates)","version description or changelog"],"output_types":["saved workflow version","version history with timestamps","deployment status (draft, published)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_lindy-ai__cap_9","uri":"capability://tool.use.integration.webhook.based.inbound.data.collection.and.form.submission.handling","name":"webhook-based inbound data collection and form submission handling","description":"Lindy generates unique webhook URLs for workflows that accept inbound HTTP POST requests with JSON payloads, enabling external systems to trigger workflows with custom data. Users can define expected payload schema, and Lindy automatically parses incoming data and makes it available to workflow steps. This enables form submissions, third-party system callbacks, and real-time event ingestion without polling or manual data entry.","intents":["I want to create a form on my website that submits data to a Lindy workflow to automatically create a CRM record","I need to receive webhook callbacks from a payment processor and automatically update my database when payments are received","I want to accept inbound data from an external system and trigger a workflow without building a custom API"],"best_for":["teams collecting form submissions without backend infrastructure","businesses integrating with third-party systems via webhooks","non-technical users building data collection workflows"],"limitations":["No request validation or signature verification; webhook URLs are publicly accessible if shared","Payload size limits may apply; large file uploads or complex nested JSON may fail","No rate limiting or throttling; high-volume webhook traffic could cause execution delays"],"requires":["Lindy workflow with webhook trigger configured","External system or form capable of sending HTTP POST requests","Webhook URL provided by Lindy"],"input_types":["JSON payload from HTTP POST request","custom headers (optional)"],"output_types":["parsed payload data available to workflow steps","HTTP response (success/failure status)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Active Lindy account (free or paid tier)","API credentials for connected third-party services (Slack, email, CRM, etc.)","Lindy account with template access","API keys for LLM provider (OpenAI, Anthropic, or Lindy's default)","Connected app credentials for integrations used in template","Lindy workflow with multiple steps","Variable definition (explicit or auto-captured from step output)","Lindy account with multilingual support enabled","LLM provider capable of processing multiple languages"],"failure_modes":["Complex conditional logic with nested branches becomes difficult to visualize and maintain in the UI","Custom data transformations beyond simple field mapping require workarounds or external tools","No version control or rollback mechanism for workflow changes, risking production automation breaks","Template library is smaller than competitors (Make, Zapier), limiting coverage for niche industries","Customizing templates beyond simple prompt/app swaps often requires rebuilding from scratch","Templates may not reflect best practices for specific business contexts, requiring manual refinement","Variable scope is global to the workflow; no local scoping or namespace isolation","No built-in variable validation or type checking; type mismatches may cause silent failures","Variable size limits may apply; storing large objects or arrays could cause performance issues","Language detection accuracy depends on LLM provider; may fail for low-resource languages","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.25,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:31.446Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=lindy-ai","compare_url":"https://unfragile.ai/compare?artifact=lindy-ai"}},"signature":"U8tkov+PJ7ANWF7K5lUYih97SgkG5y2+EhpCevVvKtFkdrc/mcRWi5rKCFgw1Zo00PIIZIykeiq93MoXPtBDAw==","signedAt":"2026-06-16T17:04:18.222Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/lindy-ai","artifact":"https://unfragile.ai/lindy-ai","verify":"https://unfragile.ai/api/v1/verify?slug=lindy-ai","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"}}