Agentic Index
Confident AI vs Langfuse (2026)
Choose Confident AI if DeepEval is already your testing framework and you want its managed platform, and choose Langfuse for broader observability with the larger open source footprint. Confident AI starts around 20 dollars a seat a month with a free tier and the open source DeepEval library, while Langfuse runs free on Hobby, 29 dollars a month on Core with unlimited users, and self hosts free under MIT. Test suite driven evaluation favors Confident AI; org wide tracing favors Langfuse.
| At a glance | Confident AI | Langfuse |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | From $19.99/seat/mo · free tier + open source | Free Hobby (50K units/mo) · Core $29/mo · open source self host |
| Free / trial | DeepEval free and open source; Confident AI free tier (2 seats, 1 project, 1 GB-month) | Free Hobby plan, no card (50K units/mo, 2 users) |
| Pricing confidence | public exact | public exact |
| Feature |
L
Langfuse
|
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | No / Not documented |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | No / Not documented |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | No / Not documented |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
L
Langfuse
|
|
|---|---|---|
|
Entry price Lowest public entry point |
From $19.99/seat/mo · free tier + open source | Free Hobby (50K units/mo) · Core $29/mo · open source self host |
|
Pricing confidence How public the numbers are |
Public — exact | Public — exact |
|
Billing Primary billing axis |
Per seat per month plus $1 per GB-month of data ingested or retained | usage |
|
Variable cost Workload / overage exposure |
Low variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
Choose Confident AI if
- DeepEval already runs in your CI and you want its hosted reporting layer
- Fifty plus prebuilt metrics for RAG and agents shortcut your eval buildout
- Unit test style LLM evaluation matches how your engineers think
Choose Langfuse if
- Per seat pricing penalizes your team size and unlimited users at 29 dollars a month does not
- Tracing, prompt management, and evals in one self hostable platform is the goal
- You want the ecosystem default with the deepest integration catalog
Langfuse was acquired by ClickHouse in January 2026 and continues as an open source, self hostable platform under the MIT license. Buyers outside the ClickHouse ecosystem should weigh roadmap priorities accordingly.