Langfuse vs Exa
Open-source LLM engineering platform — observability, prompts, evals
vs. AI search API for developers — neural + keyword hybrid for agents
Pricing tiers
Langfuse
Hobby (Cloud Free)
Free. 50k units/month included. 30 days data access. 2 users. Community support.
Free
Self-Hosted (OSS)
MIT-licensed. Docker Compose or Kubernetes deployment. Unlimited.
$0 base (usage-based)
Core
$29/month. 100k units included ($8 per 100k overage). 90 days retention. Unlimited users. In-app support.
$29/mo
Pro
$199/month. 100k units included + same overage. 3 YEARS retention. Unlimited annotation queues. High rate limits.
$199/mo
Teams Add-on
+$300/month. Adds Enterprise SSO + fine-grained RBAC + dedicated Slack support to Pro.
$300/mo
Enterprise
$2,499/month. Everything + custom rate limits, uptime SLA, dedicated support engineer. Yearly options.
$2499/mo
Exa
Free Tier
1,000 requests/month at no cost. Access to all core products.
Free
Pay-as-you-go
Usage-based per endpoint. No monthly minimum.
$0 base (usage-based)
Startup + Education Grants
$1,000 in free credits for qualifying projects.
$0 base (usage-based)
Enterprise
Custom. High-volume, custom datasets, rate limits, SLA, dedicated support.
Custom
Free-tier quotas head-to-head
Comparing hobby on Langfuse vs free on Exa.
| Metric | Langfuse | Exa |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Langfuse · 16 features
- Annotation Queues — Human reviewers rate traces. Unlimited on Pro+.
- Dashboards — Aggregate metrics, cost, quality across projects.
- Datasets — Curate test sets from production traces. Run experiments.
- EU Cloud Region — GDPR-compliant hosting in EU.
- Evaluations — LLM-as-judge, manual scores, custom model-graded evaluators.
- LLM Cost Tracking — Automatic cost calculation per provider/model.
- OpenTelemetry Native — OTel SDK → Langfuse endpoint works out of box.
- Playground — Test prompts + models + variables live.
- Prompt Management — Version, tag, label prompts. Reference from code by label.
- Public API — Full REST API for ingest, query, prompt management.
- Python @observe decorator — One-line decorator to trace any function.
- Self-Hosting — Docker Compose + k8s Helm chart.
- Sessions — Group related traces (conversations, agent runs).
- Tracing — Capture every LLM call, tool call, nested span with inputs/outputs/cost.
- Users Tracking — Segment traces by user ID, track per-user cost.
- Webhooks — Subscribe to trace completion events.
Exa · 13 features
- Answer API — Query → direct answer with citations.
- Category Filter — Filter to news, research papers, company, github, tweet, pdf, financial report, …
- Contents API — Retrieve cleaned full-text + summaries from URLs.
- Custom Datasets (Ent) — Enterprise: private indexing of your own corpus.
- Deep Reasoning Search — Adds LLM reasoning on top of Deep Search.
- Deep Search — Multi-hop iterative search for complex queries.
- Find Similar — Given a URL, find semantically similar pages.
- Highlights — Extract most-relevant passages per result.
- Livecrawl — Fetch pages on-demand (bypass cache) for freshness-critical queries.
- MCP Server — Official Exa MCP for Claude Code / Cursor / Agents.
- Monitors — Scheduled recurring search → alerts on new results.
- Search API — Neural + keyword web search for agents. Returns ranked URLs.
- Summaries — LLM-generated page summaries.
Developer interfaces
| Kind | Langfuse | Exa |
|---|---|---|
| SDK | langfuse-js, langfuse-python | exa-js, exa-py |
| REST | Langfuse REST API | Exa REST API |
| MCP | Langfuse MCP Server | Exa MCP Server |
| OTHER | Langfuse Dashboard, OpenTelemetry endpoint | Exa Dashboard |
Staxly is an independent catalog of developer platforms. Outbound links to Langfuse and Exa are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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