Machine Learning · head to head
Langwatch vs Openstatus

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

Openstatus
Logging
Status pages with uptime monitoring and compliance-ready incident tracking
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Langwatch free plan limited to 50k events per month, restricting larger deployments; Openstatus free tier severely limited to 1 monitor and 1 status page
- They diverge on capability: Langwatch covers Agent simulation testing, Openstatus covers Branded status pages.
Where they differ
Only the attributes on which Langwatch and Openstatus actually diverge.
| Attribute | Langwatch | Openstatus |
|---|---|---|
| Pricing model | Tiered subscription with usage-based overage charges | Unknown |
| Platforms | Web, Docker, Kubernetes | Web, API |
| Category | Machine Learning | Logging |
| Founded | Unknown | 2023 |
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 Openstatus
- Branded status pages
- Global monitoring
- Incident notifications
- Audit-ready trails
- API and CLI access
- Terraform provider
- Self-hosting
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 Openstatus
- Automated test creation from product requirementsnot Openstatus
- LLM response quality evaluation and scoringnot Openstatus
- Production agent monitoring and cost trackingnot Openstatus
- Governance and access control for AI systemsnot Openstatus
Openstatus
- Publishing incident status pages to customersnot Langwatch
- Demonstrating compliance readiness to auditorsnot Langwatch
- Alerting internal teams when services are downnot Langwatch
- Tracking uptime metrics across global regionsnot 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
Openstatus
- Free tier severely limited to 1 monitor and 1 status page
- Per-status-page pricing adds cost for multi-product organizations
- No built-in workflow orchestration or incident response automation
- Limited historical analytics beyond incident documentation
- No AI-powered incident diagnosis or root cause analysis
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
Openstatus
Free- FreeFree
- 1 monitor with 10-minute intervals
- 1 status page with 3 components
- No credit card required
- Starter$30/month
- 20 monitors with 1-minute intervals
- 1 status page with 20 components
- 3-month data retention
- Pro$100/month
- 50 monitors with 30-second intervals
- 5 status pages with 50 components each
- 12-month data retention
- Scale$500/month
- 50 monitors with 30-second intervals
- 10 status pages with 500 components each
- 24-month data retention
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 Openstatus if
- You need branded status pages.
- You want to start without paying.
- You work on Web, API.
- You also want global monitoring.
Questions people ask
- Is Langwatch or Openstatus better?
- Neither clearly leads. Langwatch starts at Free and Openstatus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Langwatch or Openstatus?
- Langwatch starts at Free and Openstatus at Free.
- Does Langwatch or Openstatus run on more platforms?
- Langwatch runs on Web, Docker, Kubernetes. Openstatus runs on Web, API.
- 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 Openstatus is typically brought in for.
- What can Langwatch do that Openstatus cannot?
- Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer. Openstatus covers Branded status pages, Global monitoring, Incident notifications, Audit-ready trails.
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.
SourceOpenstatus: Can I use OpenStatus for free?
Yes, the free tier includes 1 monitor with 10-minute check intervals and 1 status page with 3 components, no credit card required.
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.
SourceOpenstatus: What is included in annual billing for Starter plan?
Annual billing costs $300/year (vs $360/month), saving 2 months. Includes 20 monitors, 1-minute intervals, and all alert types.
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.
SourceOpenstatus: Can I add extra status pages beyond my plan limit?
Yes, additional status pages cost $20/month and are billed separately on top of your plan.
SourceRelated pages
Other head to heads
- Langwatch vs AWS SageMaker
- Langwatch vs Google Vertex AI
- Langwatch vs Azure Machine Learning
- Langwatch vs DataRobot
- Langwatch vs MLflow
- Langwatch vs Snowflake
- Langwatch vs TensorFlow
- Langwatch vs Comet ML
- Langwatch vs Jupyter
- Langwatch vs LangChain
- Langwatch vs Pinecone
- Langwatch vs Python
- Langwatch vs PyTorch
- Langwatch vs scikit-learn
- Langwatch vs Apache Spark MLlib
- Langwatch vs Weaviate
- Langwatch vs Weights & Biases
- Langwatch vs Alteryx
- Langwatch vs Elastic Stack
- Langwatch vs New Relic
- Langwatch vs Datadog Logs
- Langwatch vs Coralogix
- Langwatch vs Grafana Loki
- Langwatch vs incident.io
- Langwatch vs Cronitor
- Langwatch vs FireHydrant
- Langwatch vs Healthchecks
- Langwatch vs Rootly
- Langwatch vs Checkly
- Langwatch vs CloudWatch
- Langwatch vs Dynatrace
- Langwatch vs InfluxDB
- Langwatch vs Airbrake
- Langwatch vs AppDynamics
- Langwatch vs Axiom
- Langwatch vs Azure Monitor
- Openstatus vs AWS SageMaker
- Openstatus vs Google Vertex AI
- Openstatus vs Azure Machine Learning
- Openstatus vs DataRobot
- Openstatus vs MLflow
- Openstatus vs Snowflake
- Openstatus vs TensorFlow
- Openstatus vs Comet ML
- Openstatus vs Jupyter
- Openstatus vs LangChain
- Openstatus vs Pinecone
- Openstatus vs Python
- Openstatus vs PyTorch
- Openstatus vs scikit-learn
- Openstatus vs Apache Spark MLlib
- Openstatus vs Weaviate
- Openstatus vs Weights & Biases
- Openstatus vs Alteryx
- Openstatus vs Elastic Stack
- Openstatus vs New Relic
- Openstatus vs Datadog Logs
- Openstatus vs Coralogix
- Openstatus vs Grafana Loki
- Openstatus vs incident.io
- Openstatus vs Cronitor
- Openstatus vs FireHydrant
- Openstatus vs Healthchecks
- Openstatus vs Rootly
- Openstatus vs Checkly
- Openstatus vs CloudWatch
- Openstatus vs Dynatrace
- Openstatus vs InfluxDB
- Openstatus vs Airbrake
- Openstatus vs AppDynamics
- Openstatus vs Axiom
- Openstatus vs Azure Monitor
