Langfuse vs Slaunt
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Langfuse compared with Slaunt
| Detail | L
Langfuse | 
Slaunt |
|---|
| What it does | Open Source Agent Evals & Observability
| The all-in-one agentic AI solution for your organization
|
|---|
| Stage | Established
| Startup
|
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| Founded | Not given
| 2024
|
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| Based in | DE
| Not given
|
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| Pricing model | Freemium
| Freemium
|
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| Pricing | Not given
| Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
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| Key features | - Hierarchical traces capture every LLM call, tool invocation, and retrieval step
- LLM-as-a-judge, heuristic functions, or human review evaluations
- Prompt management with one-click deployments and rollbacks
- Playground to test prompts on real production inputs and compare models
- Experiments with test cases and side-by-side comparison
- Human annotation and collaborative human-in-the-loop workflows
- Cost and latency monitoring with dashboards and alerts
- REST APIs and Query SDK for data access
- Langfuse Assistant to automate the AI engineering loop
| - Centralized context repository for unifying work signals across tools
- MCP protocol integration with AI assistants and tools
- First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
- Per-agent scoped access with full audit trail
- Custom vector embeddings for agent memory
- Instant agent shutdown from anywhere globally
- QUAERO enterprise AI agent governance system
- Two-way sync with tools for agent actions and work flows
- Support for custom MCP servers and internal tools
- Real-time organizational context for agent reasoning
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| What makes it different | - MIT licensed open source platform with no data lock-in
- Enterprise scale architecture handling billions of monthly events
- Works with any language and framework with no framework lock-in
- Async by default so tracing never blocks your application
| - AI-first design with structured, queryable context rather than static documentation
- Consistent policy and audit rules across all integrations
- MCP-native integrations with no bespoke connectors to maintain
- Instant global agent shutdown capability
- Guardrails on every agent run by default
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 80 ▲ +1 (up) since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 35 | 0 |
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| Citation Flow (Majestic) | 54 | 28 |
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| Referring domains (Majestic) | 6114 | 40 |
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5 details filled in for both companies.
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