Lunary
Monitor and optimize AI applications in production
- Also known as
- lunary
Available worldwide · Popular in: US, EU
What is Lunary?
A platform for teams to monitor LLM performance, manage prompts collaboratively, and deploy AI agents with real-time performance tracking and cost analysis. Supports logging, prompt templates, agent monitoring, and integrations with popular LLM providers.
Lunary pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
From $20/user/mo. Free tier available.
Free
FreeFor personal projects
- events
- 10k/mo
- projects
- 3
- logs_retention
- 30 days
- 10k events per month
- 3 projects
- 30 days logs retention
Team
Start scaling your project with more resources
- events
- 50k/mo
- history
- 1 year
- queries
- 1000/month
- 50k events per month
- AI Playground
- Unlimited projects
- 1 year history
- Advanced features
- Unlimited Prompts
- Full API Access
- Smart Views
- CSV & JSONL Exports
- Priority support
Custom
Contact salesCustom plans for larger teams with personalized needs
- Self-hosted deployment
- SSO / SAML
- SOC2 & ISO27001 Reports
- 99.9% SLA
- Custom Invoicing
- Audit Papertrail
- White Label
- Technical Account Manager
- Data Warehouse connectors
- Granular Access Control
- Legendary support
What Lunary does
The capabilities that matter for llm observability, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed cloud saas
- Token cost and latency waterfall charts
- ✓
- Opentelemetry openllmetry native export support
- ✓
- Prompt playground and in dashboard replay
- ✓
- Multi step agentic workflow distributed tracing
- ✓
- User feedback score API for thumbs up down tags
- ✗
- Pii redaction and prompt content masking
- ✓
- Production ab testing of system prompts
- ✓
- Automated anomaly detection for rate limits
- ✓
- Native integration with langchain and llamaindex
- ✓
- SOC2 type ii
- ✓
- Mit or apache permissive oss license
- ✗
- Pricing model
- Per user seat
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- On-premise
- Self-hosted
Integrations (31)
Independently observed- Anthropic
- Flowise
- LangChain
- OpenRouter
- IBM WatsonX
- Mistral
- Grok
- Fireworks AI
- AWS Bedrock
- Azure OpenAI
- OpenAI
- Ragas
- LiteLLM
- LlamaIndex
- Langflow
- PowerBI
- Tableau
- MySQL
- Amplitude
- Airbyte
- Segment
- Slack
- Zapier
- Redshift
- PostHog
- OpenLLMetry
- Databricks
- Snowflake
- BigQuery
- Email/SMTP
- Gemini
Lunary alternatives
Other llm observability we track, ranked by the same independent score.
- TraceloopContinuous evaluation and monitoring platform for LLM applications that catches quality issues before productionmedium · 54%
- Weights & Biases WeaveMonitor and analyze AI agents and multi-turn systems in production environmentslow · 9%
- AgentOpsPlatform for monitoring, debugging, and deploying production-ready AI agentsmedium · 55%
- Arize Phoenixlow · 18%
- OpikMonitoring and evaluation tools for AI agent applicationslow · 36%
Compare Lunary
Side by side against other llm observability, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Lunary, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 100 | 0.08 | 8.4 | ✓ |
| Security posture | 70 | 0.07 | 5.1 | ✓ |
| Capabilities | 96 | 0.05 | 4.7 | ✓ |
| Reliability | 45 | 0.07 | 3.3 | ✓ |
| Price level | 50 | 0.05 | 2.6 | ✓ |
| Integrations | 38 | 0.04 | 1.5 | ✓ |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Soc2 type ii: Yes · Pricing model: per_user_seat · Architecture model: managed_cloud_saas · Mit or apache permissive oss license: No · Production ab testing of system prompts: Yes · Token cost and latency waterfall charts: Yes | mediumsource · 2026-08-25 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 20 | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Sla pct | 99.9 | mediumsource · 2026-08-25 · 60% |