Who is Traceloop best for?

Traceloop is built for AI/ML engineers building and operating LLM-powered applications, Platform and DevOps engineers overseeing LLM infrastructure in production, Enterprise GenAI product teams requiring compliance and governance, Data scientists and prompt engineers iterating on model and prompt quality. Common use cases include Production monitoring of LLM outputs for quality regressions and drift; RAG pipeline tracing and debugging; AI agent observability across complex multi-step workflows.

How is Traceloop priced?

Free tier available at $0/month supporting up to 50,000 spans/month, up to 5 seats, 24-hour data retention, and access to all core features including monitoring, evaluation, CI/CD integration, and prompt management. Enterprise tier is custom-priced (contact sales) and includes more than 50,000 spans/month, unlimited seats, custom data retention, SOC 2 compliance, on-premises deployment, and dedicated Slack support. OpenLLMetry open-source SDK is free under Apache-2.0 license and can connect to 25+ third-party observability platforms at no cost. Traceloop is available for purchase on AWS, GCP, and Azure Marketplaces.

What are the alternatives to Traceloop?

Common LLM Observability Evals & Gateways alternatives to Traceloop include Arize AI, Langfuse, Braintrust, LangChain, Confident AI. See the full comparison hub at /verticals/llm-observability-evals-gateways/compare.

What do users praise about Traceloop?

Users frequently praise: One-line-of-code setup and fast time-to-value; OpenTelemetry open standards with no vendor lock-in; Wide LLM provider and framework coverage; Built-in evaluators requiring zero test configuration; CI/CD integration for automated quality gates; On-prem and air-gapped deployment flexibility; Active open-source community and contributor base; SOC 2 and HIPAA compliance for enterprise use.

What are common complaints about Traceloop?

Frequently cited limitations: Narrow scope limited to LLM observability, not full ML lifecycle; Free tier span and seat limits may be insufficient for production scale; May overlap with existing APM and logging infrastructure; Enterprise pricing is opaque and requires sales contact; Future product roadmap uncertain following ServiceNow acquisition.

When was Traceloop founded and where?

Traceloop was founded in 2022, headquartered in Tel Aviv, Israel by Nir Gazit, Gal Kleinman.

How big is Traceloop?

Traceloop reports 11-50 employees.

AI visibility report

Traceloop ranks #10 in LLM Observability Evals & Gateways AI search.

Outside the top three on 24 of the 25 prompts buyers actually ask.

Braintrust is cited on 16 of those losses.

25 prompts

5 platforms

Updated Sep 17, 2026 - refreshed weekly

Track Traceloop daily

14-day free trial. No card required. Setup comes pre-filled for Traceloop.

Track Traceloop across these prompts daily.

Start your 14-day trial

2percent

Presence Rate

Low presence

#10 among 11 vendors · still absent from 98.4% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

+0.10

Sentiment

-1.00.0+1.0

Neutral

#10of 11

Peer Ranking

#1#11

Below averagein LLM Observability Evals & Gateways

Key Metrics

Presence Rate

1.6%

Share of Voice

2.6%

Avg Position

#5.5

Docs Presence

0.0%

Blog Presence

0.8%

Brand Mentions

4.0%

Platform Breakdown

ChatGPT

4%1/25 prompts

Gemini Search

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Traceloop is an LLM observability and evaluation platform founded in 2022 and headquartered in Tel Aviv, Israel. Built by ML engineers from Google and Fiverr, it helps development teams monitor, debug, and continuously improve LLM-powered applications in production. Its open-source SDK, OpenLLMetry—built on OpenTelemetry—provides one-line-of-code instrumentation and became a widely adopted standard with over 6.8k GitHub stars and 500K monthly installs. The commercial platform adds built-in and custom evaluators, drift detection, CI/CD-integrated quality gates, prompt management, and an experiment framework. Traceloop supports 20+ LLM providers, major vector databases, and AI frameworks. It is SOC 2 and HIPAA compliant with cloud, on-prem, and air-gapped deployment options. In March 2026, Traceloop was acquired by ServiceNow to power its AI Control Tower governance platform.

AI visibility report

Traceloop ranks #10 in LLM Observability Evals & Gateways AI search.

Outside the top three on 24 of the 25 prompts buyers actually ask.

Braintrust is cited on 16 of those losses.

25 prompts

5 platforms

Updated Sep 17, 2026 - refreshed weekly

Track Traceloop daily

14-day free trial. No card required. Setup comes pre-filled for Traceloop.

Track Traceloop across these prompts daily.

Start your 14-day trial

2percent

Presence Rate

Low presence

#10 among 11 vendors · still absent from 98.4% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

+0.10

Sentiment

-1.00.0+1.0

Neutral

#10of 11

Peer Ranking

#1#11

Below averagein LLM Observability Evals & Gateways

Key Metrics

Presence Rate

1.6%

Share of Voice

2.6%

Avg Position

#5.5

Docs Presence

0.0%

Blog Presence

0.8%

Brand Mentions

4.0%

Platform Breakdown

ChatGPT

4%1/25 prompts

Gemini Search

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

Praised

One-line-of-code setup and fast time-to-value
OpenTelemetry open standards with no vendor lock-in
Wide LLM provider and framework coverage
Built-in evaluators requiring zero test configuration
CI/CD integration for automated quality gates
On-prem and air-gapped deployment flexibility
Active open-source community and contributor base
SOC 2 and HIPAA compliance for enterprise use

Criticized

Narrow scope limited to LLM observability, not full ML lifecycle
Free tier span and seat limits may be insufficient for production scale
May overlap with existing APM and logging infrastructure
Enterprise pricing is opaque and requires sales contact
Future product roadmap uncertain following ServiceNow acquisition

No verified aggregate numerical review scores for Traceloop were found on G2, Gartner Peer Insights, or comparable platforms at the time of research. Community sentiment inferred from press coverage, investor quotes, and customer testimonials is positive, highlighting ease of integration, open-standards approach, and enterprise reliability. Analyst recognition includes a Gartner Cool Vendor designation. Third-party review aggregators list the product but do not yet surface verified scored reviews.

Prompt	ChatGPT	Gemini Search	Perplexity	Google AI Mode	Bing Copilot
Capability0/5 cited (0%)
Looking for an eval platform that supports automated safety and toxicity scoring on LLM outputs at scale — what are my options?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited
What platforms support end-to-end tracing of multi-agent pipelines including tool calls, retrieval steps, and sub-agent spawning?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	Arize AI	26.4%	17.5%	0.8%	4.0%	16.0%	#3.5	+0.55
2	Langfuse	24.8%	18.4%	7.2%	4.0%	62.4%	#2.7	+0.54
3	Braintrust	23.2%	16.2%	4.0%	0.0%	48.0%	#3.4	+0.60
4	LangChain	20.8%	16.2%	8.0%	0.0%	51.2%	#3.1	+0.51
5	LiteLLM	10.4%	10.1%	7.2%	1.6%	0.0%	#3.1	+0.62
6	Confident AI	10.4%	8.8%	2.4%	0.0%	15.2%	#4.0	+0.55
7	Galileo	6.4%	4.4%	0.8%	5.6%	7.2%	#3.0	+0.65
8	Portkey	5.6%	3.5%	2.4%	0.0%	19.2%	#2.9	+0.51
9	Helicone	3.2%	1.8%	2.4%	0.8%	22.4%	#3.3	+0.39
10	Traceloop	1.6%	2.6%	0.0%	0.8%	4.0%	#5.5	+0.10
11	Patronus AI	0.8%	0.4%	0.8%	0.0%	0.8%	#1.0	+0.50

Developer Experience0/5 cited (0%)
Which LLM tracing platforms make it easiest to replay a failed multi-step agent run and pinpoint exactly where reasoning went wrong?	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem1/5 cited (20%)
Which LLM observability platforms integrate natively with the most popular agent frameworks so traces appear automatically with no manual instrumentation?	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability0/5 cited (0%)
Which LLM observability platforms stay reliable under traffic spikes from batch eval jobs running thousands of LLM calls simultaneously?	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited

Traceloop ranks #10 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Traceloop ranks #10 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Traceloop is not.

Where Traceloop is winning

Where Traceloop is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Traceloop customer outcomes

Recent Trend

How AI describes Traceloop3

Most cited sources4

Alternatives in LLM Observability Evals & Gateways6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run0/5 cited (0%)
What's the fastest LLM tracing platform for instrumenting a Python-based agent framework without rewriting existing code?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited

Traceloop ranks #10 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Traceloop ranks #10 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Traceloop is not.

Where Traceloop is winning

Where Traceloop is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Traceloop customer outcomes

Recent Trend

How AI describes Traceloop3

Most cited sources4

Alternatives in LLM Observability Evals & Gateways6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does Traceloop do?

Who is Traceloop best for?

How is Traceloop priced?

What are the alternatives to Traceloop?

What do users praise about Traceloop?

What are common complaints about Traceloop?

When was Traceloop founded and where?

How big is Traceloop?