Machine Learning · head to head
Langwatch vs Lindy

Langwatch
Machine Learning
LLM engineering platform for testing and evaluating AI agents in production
- From
- Free
- Rated
- -

Lindy
AI
AI teammate that automates work across your entire software stack
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Langwatch free plan limited to 50k events per month, restricting larger deployments; Lindy requires per-user subscription, which scales costs with team size
- They diverge on capability: Langwatch covers Agent simulation testing, Lindy covers Slack integration.
Where they differ
Only the attributes on which Langwatch and Lindy actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Langwatch
- Agent simulation testing
- LLM evaluation
- OpenTelemetry tracing
- Langy AI Engineer
- Governance controls
- Multiple deployment options
- Framework support
Only in Lindy
- Slack integration
- Email automation
- Meeting transcription
- Scheduled routines
- 1,000+ app integrations
- Skill library
- Editable memory
- MCP support
What people use each for
The jobs each tool is most often brought in to do.
Langwatch
- Continuous testing of AI agents before production deploymentnot Lindy
- Automated test creation from product requirementsnot Lindy
- LLM response quality evaluation and scoringnot Lindy
- Production agent monitoring and cost trackingnot Lindy
- Governance and access control for AI systemsnot Lindy
Lindy
- Automating email and calendar management across teamsnot Langwatch
- Transcribing and summarizing meetings automaticallynot Langwatch
- Updating CRM systems with meeting notes and leadsnot Langwatch
- Generating daily reports and weekly briefsnot Langwatch
- Processing structured data from multiple applicationsnot Langwatch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Langwatch
- Free plan limited to 50k events per month, restricting larger deployments
- Pricing in EUR may complicate budgeting for US-based teams
- Usage-based overage model can create unpredictable costs
- Self-hosted option requires DevOps expertise
Lindy
- Requires per-user subscription, which scales costs with team size
- Limited free trial period of 7 days may not allow full evaluation
- Credit system complexity could be confusing for new users
- Not designed for technical teams as primary tool
Pricing, plan by plan
Langwatch
Free- DeveloperFree
- 50k events per month
- 14-day data access
- 2 users
- Growth$29/month
- 200k events per month included
- 5 EUR per 100k additional events
- 30-day data retention
- Enterprise$undefined/custom
- Custom event limits
- Hybrid, self-hosted or on-premises deployment
- Custom SSO and RBAC
Lindy
Free- Free TrialFree
- 7-day free trial for new team members joining via Slack
- Plus$29.99/month
- 3,000 credits per month
- Slack integration
- Email automation
- Pro$99.99/month
- 15,000 credits per month
- All Plus features
- Advanced automation
- Max$199.99/month
- 35,000 credits per month
- All Pro features
- Priority support
Which should you pick?
Choose Langwatch if
- You need agent simulation testing.
- You want to start without paying.
- You work on Web, Docker, Kubernetes.
- You also want llm evaluation.
Choose Lindy if
- You need slack integration.
- You want to start without paying.
- You work on Web, Slack, Email, Mobile.
- You also want email automation.
Questions people ask
- Is Langwatch or Lindy better?
- Neither clearly leads. Langwatch starts at Free and Lindy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Langwatch or Lindy?
- Langwatch starts at Free and Lindy at Free.
- Does Langwatch or Lindy run on more platforms?
- Langwatch runs on Web, Docker, Kubernetes. Lindy runs on Web, Slack, Email, Mobile.
- Can I use Langwatch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Langwatch best used for?
- Langwatch is most often used for continuous testing of ai agents before production deployment, automated test creation from product requirements, llm response quality evaluation and scoring, production agent monitoring and cost tracking. Of those, continuous testing of ai agents before production deployment and automated test creation from product requirements are not what Lindy is typically brought in for.
- What can Langwatch do that Lindy cannot?
- Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer. Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines.
Answered from the vendors’ own pages
Langwatch: Is there a permanent free tier?
Yes, Langwatch's Developer plan is free forever with 50k events per month, 14-day data access, 2 users, and no credit card required. It is specifically designed for individual developers prototyping AI applications.
SourceLindy: How does Lindy maintain data privacy and security?
Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.
SourceLangwatch: What is Langy and how does it save time?
Langy is an AI-powered tool that automates test creation. It converts product requirements into test scenarios, runs simulations, scores results, and generates pull requests with fixes in a median of 14 minutes.
SourceLindy: Can we start with a free trial?
New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.
SourceLangwatch: What frameworks does Langwatch support?
Langwatch works with LangGraph, LangChain, CrewAI, OpenAI Agents, AWS Bedrock, Azure OpenAI, Vertex AI, and other major LLM frameworks and platforms.
SourceLindy: How many applications can Lindy integrate with?
Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.
SourceRelated pages
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- Lindy vs Azure Machine Learning
- Lindy vs DataRobot
- Lindy vs MLflow
- Lindy vs Snowflake
- Lindy vs TensorFlow
- Lindy vs Comet ML
- Lindy vs Jupyter
- Lindy vs LangChain
- Lindy vs Pinecone
- Lindy vs Python
- Lindy vs PyTorch
- Lindy vs scikit-learn
- Lindy vs Apache Spark MLlib
- Lindy vs Weaviate
- Lindy vs Weights & Biases
- Lindy vs Alteryx
- Lindy vs Pika
- Lindy vs Anthropic API
- Lindy vs D-ID
- Lindy vs Fathom
- Lindy vs Together AI
- Lindy vs Stable Diffusion
- Lindy vs Arize AI
- Lindy vs ChatGPT
- Lindy vs Perplexity
- Lindy vs AutoGen
- Lindy vs Black Forest Labs
- Lindy vs Cartesia
- Lindy vs Deepgram
- Lindy vs Galileo
- Lindy vs Helicone
- Lindy vs Ideogram
- Lindy vs Jasper
- Lindy vs LangGraph
