AI Dispatch
vendor · observability

Langfuse vs NOFireAI

49 fields both were evaluated on, 29 of them different — including where one discloses something the other does not. Every value links to the document it came from. 20 further fields are disclosed by neither and are listed at the end rather than tabled.

Assurance

FieldLangfuseNOFireAI
Liability cap·
Terms of Service cap total aggregate liability at $100.00
IN NO EVENT WILL THE TOTAL LIABILITY OF THE NOFIRE AI PARTIES TO YOU FOR ALL DAMAGES, LOSSES, AND CAUSES OF ACTION (WHETHER IN CONTRACT OR TORT, INCLUDING, BUT NOT LIMITED TO, NEGLIGENCE OR OTHERWISE) ARISING FROM OR RELATED TO THE TERMS, THE CONTENT, AND/OR YOUR USE OF THE SITE, EXCEED, IN THE AGGREGATE, $100.00.
nofire.ai · checked Aug 29, 2026
Audit trail·
Hierarchical traces capture every LLM call, tool invocation, and retrieval step.
langfuse.com · checked Aug 11, 2026
Policy verdicts on agent actions are signed into the customer's existing audit tools
the verdict is signed into the tools you already audit
nofire.ai · checked Sep 16, 2026
Tamper-evident log·
Audit logs are immutable and tamper-evident, streamed to the customer's SIEM as signed receipts
Immutable, tamper-evident logs of every action. Streamed to your SIEM as signed receipts.
nofire.ai · checked Aug 29, 2026
Explainability·
Root-cause findings link every claim to its supporting evidence
with every claim linked to its evidence
nofire.ai · checked Sep 16, 2026
Runtime governance·
Every unattended agent action is checked against policy before it runs, at runtime
Every agent action is checked against policy before it runs, and the verdict is signed into the tools you already audit.
nofire.ai · checked Sep 16, 2026
Permission scopes·
Data is scoped per-project with project-scoped API keys, and requests are authorized via role-based access control before queries run.
All product data is scoped to a project. Every record is associated with a projectId , API keys are project-scoped, and authenticated requests are authorized through RBAC before queries are made
langfuse.com · checked Sep 2, 2026
Agent-generated code runs in an isolation boundary under a grant that is scoped, time-limited and bound to its task
under a grant that is scoped, time-limited and bound to its task
nofire.ai · checked Sep 16, 2026
Compliance certifications·
SOC 2 Type II, ISO 27001, EU & US data regions, a HIPAA-ready region, GDPR; government hardening described as coming soon
SOC 2 Type II & ISO 27001 EU & US Data Regions HIPAA-ready region Hardening for Gov (soon) GDPR
langfuse.com · checked Sep 12, 2026
Regulatory alignment·
Langfuse states it is GDPR compliant with data retention, masking and deletion capabilities
Langfuse is GDPR compliant, and offers data retention, data masking and data deletion capabilities to manage the processing of personal data
langfuse.com · checked Aug 26, 2026
Dispute process·
Disputes are settled by binding commercial arbitration in Wilmington, Delaware under JAMS rules; class actions waived
Any dispute arising from or relating to the subject matter of these Terms shall be finally settled in Wilmington, Delaware, in English, in accordance with the Streamlined Arbitration Rules and Procedures of Judicial Arbitration and Mediation Services, Inc.
nofire.ai · checked Aug 29, 2026
SLA terms·
States 99.9% uptime
99.9% uptime
langfuse.com · checked Aug 11, 2026
Evaluation coverage·
89% root-cause accuracy on a public, rerunnable benchmark
89% root-cause accuracy · A public benchmark you can rerun
nofire.ai · checked Sep 16, 2026
Self-reported performance·
Vendor claims Langfuse v4 delivers up to 165x faster performance (self-reported).
Langfuse v4 is here: real-time, up to 165× faster
langfuse.com · checked Aug 10, 2026
89% root-cause accuracy on a public, rerunnable benchmark
89% root-cause accuracy · A public benchmark you can rerun
nofire.ai · checked Sep 16, 2026
Service type·
Open Source Agent Evals & Observability
langfuse.com · checked Jul 31, 2026
NOFire maps every production change and identifies the one that caused an incident, with supporting evidence
NOFire maps every change in your production, by human or agent, and hands you the one that broke it, with the proof.
nofire.ai · checked Sep 16, 2026
Client types·
100,000+ engineers building on Langfuse
langfuse.com · checked Jul 31, 2026

Safety

FieldLangfuseNOFireAI
Incident reporting·
Vulnerability disclosure runs through Bugcrowd, plus a whistleblowing channel.
Reporting: Clear channels for responsible disclosure through Bugcrowd and Whistleblowing
langfuse.com · checked Sep 2, 2026
Third-party evaluations·
Undergoes annual third-party penetration testing in addition to its SOC 2 Type II and ISO 27001 audits.
is covered by SOC 2 Type II and ISO 27001 audits, and undergoes annual third-party penetration tests
langfuse.com · checked Sep 2, 2026
Data handling·
Langfuse states it is GDPR compliant with data retention, masking and deletion capabilities
Langfuse is GDPR compliant, and offers data retention, data masking and data deletion capabilities to manage the processing of personal data
langfuse.com · checked Aug 26, 2026
Read-only telemetry access; data stays in the customer's own tools; EU data residency available
Read-only access. Your telemetry stays where it lives. EU data residency available.
nofire.ai · checked Sep 16, 2026

Practicality

FieldLangfuseNOFireAI
Pricing model·
Usage-based free tier (50k observations/month) with no credit card required; paid tiers not detailed on this page
Free tier: 50k observations/month . No credit card required.
langfuse.com · checked Aug 11, 2026
Price point·
Free tier: 50k observations/month, no credit card required
Free tier: 50k observations/month . No credit card required.
langfuse.com · checked Aug 11, 2026
Availability·
Generally available: a fully managed multi-tenant cloud service, actively used at scale.
Langfuse Cloud is a fully managed, multi-tenant SaaS deployment
langfuse.com · checked Sep 2, 2026
Deployment options·
Self-hosts at scale via Docker Compose, Kubernetes (Helm), or Terraform on AWS/GCP/Azure
Self-host at scale Docker Compose Kubernetes (Helm) AWS (Terraform) GCP (Terraform) Azure (Terraform)
langfuse.com · checked Aug 11, 2026
Integrations·
100+ integrations across languages, agent frameworks, and model providers
Additionally, 100+ integrations make getting started even easier.
langfuse.com · checked Aug 11, 2026
Ingests metrics, logs and traces from observability tools including Grafana, Prometheus, Datadog, Dynatrace, New Relic and Splunk
Metrics, logs, and traces as evidence in your own tools, from Grafana and Prometheus to Datadog, Dynatrace, New Relic and Splunk.
nofire.ai · checked Sep 16, 2026
Supported regions·
EU and US data regions, with a HIPAA-ready region
EU & US Data Regions HIPAA-ready region
langfuse.com · checked Aug 11, 2026

Ecosystem

FieldLangfuseNOFireAI
Protocols supported·
Ships a Platform MCP Server for IDE agents and is OpenTelemetry-native
Platform MCP Server Structured access for IDE agents to manage prompts, query traces, and use Langfuse data.
langfuse.com · checked Aug 11, 2026
API access·
Open source·
Open Source Agent Evals & Observability
langfuse.com · checked Jul 31, 2026

Impact

FieldLangfuseNOFireAI
User base·
Used by 21 of Fortune 50; 90B+ observations/month; 100,000+ engineers building on Langfuse
Used by 21 of Fortune 50 90B+ observations/month 100,000+ engineers building on Langfuse
langfuse.com · checked Sep 3, 2026
Deployment scale·
Processes over 90 billion observations per month, up from a previously reported 10+ billion.
90B+ observations/month
langfuse.com · checked Sep 3, 2026
Market recognition·
Vendor states its platform is used by 21 of the Fortune 50 companies.
Used by 21 of Fortune 50
langfuse.com · checked Aug 10, 2026

Disclosed by neither

Both Langfuse and NOFireAI publish nothing on these 20 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 20 identical table rows. Each is shown with its source check on the individual profiles.

  • Target sectors
  • High-risk domains
  • Documented incidents
  • Support model
  • Marketplace presence
  • Safety evaluations
  • Red teaming
  • Safety policy
  • Usage restrictions
  • Model or system card
  • Insurance available
  • Own liability cover
  • Insurance carriers
  • Coverage limits
  • Indemnification
  • Outcome-based pricing
  • Settlement mechanism
  • Asset custody
  • Regulatory status
  • Underwriting backing

Questions

How do Langfuse and NOFireAI compare on user base?
Langfuse: Used by 21 of Fortune 50; 90B+ observations/month; 100,000+ engineers building on Langfuse. NOFireAI: no public information disclosed.
How do Langfuse and NOFireAI compare on deployment scale?
Langfuse: Processes over 90 billion observations per month, up from a previously reported 10+ billion.. NOFireAI: no public information disclosed.
How do Langfuse and NOFireAI compare on market recognition?
Langfuse: Vendor states its platform is used by 21 of the Fortune 50 companies.. NOFireAI: no public information disclosed.
How do Langfuse and NOFireAI compare on pricing model?
Langfuse: Usage-based free tier (50k observations/month) with no credit card required; paid tiers not detailed on this page. NOFireAI: no public information disclosed.
How do Langfuse and NOFireAI compare on price point?
Langfuse: Free tier: 50k observations/month, no credit card required. NOFireAI: no public information disclosed.
How do Langfuse and NOFireAI compare on availability?
Langfuse: Generally available: a fully managed multi-tenant cloud service, actively used at scale.. NOFireAI: no public information disclosed.