Langfuse vs Vivgrid
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 Vivgrid
| Detail | L
Langfuse | 
Vivgrid |
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| What it does | Open Source Agent Evals & Observability
| The Managed Skills Platform for AI Agents
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| Stage | Established
| Not given
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| Founded | Not given
| Not given
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| Based in | DE
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
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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
| - Managed Skills with instant deployment to all agents
- Agent observability and debugging across all decisions
- Globally distributed inference with low latency
- Safety guardrails and agent evaluation
- Multi-agent orchestration with stateful memory
- Centralized security and access control
- Support for multiple frontier LLM models
- Real-time cost and performance insights
- Agent Insights dashboard
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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
| - Ship agent improvements in minutes instead of release cycles
- Centralized skill management without requiring redeploy
- Complete visibility into agent decisions for fast debugging
- Proven safe releases with guardrails before production
- No infrastructure expertise required to deploy agents at scale
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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 | 39 ● no change since last check |
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| Trust Flow (Majestic) | 35 | 25 |
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| Citation Flow (Majestic) | 54 | 38 |
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| Referring domains (Majestic) | 6114 | 2622 |
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5 details filled in for both companies.
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