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. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Confident AI has a free tier alongside 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.
On the Agentic Index agent infrastructure ranking, Confident AI and Langfuse both clear the bar: each documents all five production contract capabilities in full. 34 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Confident AI and Langfuse are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
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
- Org wide tracing across every team matters more than test suite evaluation
- Tracing, prompt management, and evals in one self hostable platform is the goal
- You want the ecosystem default with the deepest integration catalog
| At a glance | Confident AI | Langfuse |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | From $200/mo · free plan + open source | Free Hobby (50K units/mo) · Core $29/mo · open source self host |
| Free / trial | DeepEval free and open source; Free plan (2 seats, 1 project, 5 test runs a week, 1 GB-month of trace spans) | Free Hobby plan, no card (50K units/mo, 2 users) |
| Pricing confidence | public exact | public exact |
| Feature | C Confident AI |
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 | Partial |
|
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. |
Full / Explicit | Full / Explicit |
| 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 | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
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 | Partial |
| 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. |
Full / Explicit | 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 | C Confident AI |
L Langfuse |
|---|---|---|
|
Entry price Lowest public entry point |
From $200/mo · free plan + 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 |
Monthly plan fee with unlimited seats on paid plans, plus $1 per GB-month of trace data ingested or retained beyond the included amount and per-token charges that vary by model | 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 |
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.
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