⚡Stack Radar

AI Observability · Reviewed 19 Oct 2026

Opik

Open-source LLM observability and evaluation platform by Comet.

from $19 · free tier · comet.com ↗

Paid against free › AI Observability › Opik

SEO analysis

Collected Oct 19, 2026

comet.com: an estimated 268,227 total monthly visits and about 18,947 monthly organic visits across 1,865 ranking keywords. Scout crawled 15 pages and measured a technical health score of 96/100.

268.2KEstimated total trafficModeled monthly visits1.9KRanking keywordsPublic search sample96/100Technical health15 pages checked5.1KReferring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

Opik is an open-source platform for understanding, measuring, and improving LLM applications, including agents and RAG systems S1. It is used by AI engineers and data science teams to trace, evaluate, and optimize LLM behavior, addressing the problem of opaque and unreliable AI outputs S1 S7. Its practical value lies in providing comprehensive tracing, automated evaluations, and production dashboards, enabling teams to debug and improve their applications systematically S10.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Opik, an open-source LLM observability and optimization platform by Comet S1.
  • Core purpose: Helps understand what an LLM application is doing, measure its performance, and systematically improve it S1.
  • Intended users: AI engineers and data science teams building and monitoring LLM applications S7.
  • Product scope: A platform with tracing, evaluation, and prompt management, available as cloud, open-source, and enterprise S1.
  • Positioning: Integrated with the Comet MLOps platform, offering a complete AI engineering feature set S1 S18.
  • Claimed distinction: Proven performance at scale, supporting many of the world's largest organizations S1.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
AI engineersDebug and evaluate LLM applications, RAG systems, and agentic workflows with tracing and automated evaluations S10.
Data science teamsTrack, compare, and optimize models across the ML lifecycle, from experiments to production monitoring S7.
Production teamsMonitor application quality in production with online evaluation rules and dashboards S1.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
TracingRecords every LLM call, tool invocation, and agent step for full visibility S1.
EvaluationScores applications on hallucination, context recall, relevance, and more using automated LLM-as-a-judge and heuristic metrics S1.
Prompt optimizationAutomatically generates and tests better prompts using six optimization algorithms S1.
Production monitoringSets up online evaluation rules and monitors feedback scores, latency, cost, and error rates from a project dashboard S1.
Test suitesBuilds test suites from traces to verify fixes and prevent regressions S1.
AI assistant integrationConnects coding assistants like AI modelCode, Cursor, and VS Code Copilot to read traces and run experiments S1.
Self-hostingDeploys on own infrastructure with Docker locally or Kubernetes at scale S1.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
Python SDKSDKMost feature-complete SDK supporting all Opik features S18.
TypeScript SDKSDKSupports OpenAI Responses API token mapping and OQL string escapes S10.
OpenTelemetryIntegrationIngests traces from OpenTelemetry Python and Ruby SDKs S18.
OllamaIntegrationNative integration for the Ollama Python SDK, logging chat calls with token usage S10.
MCP serverAI interfaceConnects coding assistants like AI modelCode, Cursor, and VS Code Copilot to Opik workspace S1.
REST APIAPIDirect API access for other languages, with rate limits S18.
WebhooksWebhookValidates destination URLs before connecting S10.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Open Source$0, self-hosted S1Unlimited S1You host S1
Free Cloud$0, monthly S125k spans per month S160-day retention S1
Pro Cloud$19 per month S1100k spans per month S160-day retention S1
EnterpriseContact sales S1Custom S1Custom S1

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
linkedin.com226.5comet application, comet ml
perplexity.ai112comet application
github.com112comet ml
play.google.com113comet application
applywithcomet.com114comet application
pypi.org114comet ml
apps.apple.com115comet application
en.wikipedia.org116comet application
epa.gov117comet application

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

PlatformStatusDiscovered source
Capterradiscovered_not_scrapedhttps://www.capterra.com/p/250644/Comet/#Capterra___3557854
G2discovered_not_scrapedhttps://www.g2.com/products/comet-ml/reviews
14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 0.3%
MonthSource
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresNew! Track & optimize Claude Code spend across your engineering team. Learn More→https://www.comet.com/site/
featuresAn End-to-End AI Evaluation Platformhttps://www.comet.com/site/
featuresComet’s end-to-end model evaluation platform for developers focuses on shipping AI features, including open-source LLM observability, application testing and optimization, and coding agent cost tracking.https://www.comet.com/site/
featuresWith your application’s LLM calls and responses logged, you can bring in expert reviewers for annotation, score using built-in eval metrics, and even automate prompt engineering for complex multi-step agents.https://www.comet.com/site/
featuresTrusted by the most innovative AI teamshttps://www.comet.com/site/
featuresAdd just a few lines of code to your project and automatically start tracking LLM app and agent activity with Opik, or code, hyperparameters, model predictions, and more with Comet’s MLOps platform.https://www.comet.com/site/
featuresNew! Track & optimize Claude Code spend across your engineering team. Learn More→https://www.comet.com/site/products/opik/
featuresOpik’s powerful open-source version, generous free tier, robust enterprise platform, and complete set of tools for agent tracing, debugging, LLM-as-a-judge evaluation, prompt management, and production monitoring make it one of the best AI observability platforms available in 2026 for individual developers and large organizations alike. Compare Opik to alternatives like LangSmith, Langfuse, Arize, Braintrust, Galileo, and more.https://www.comet.com/site/products/opik/
featuresNew! Track & optimize Claude Code spend across your engineering team. Learn More→https://www.comet.com/site/products/opik/features/ai-spend-tracker/
featuresTrusted by the most innovative AI teamshttps://www.comet.com/site/products/opik/features/ai-spend-tracker/
featuresNew! Track & optimize Claude Code spend across your engineering team. Learn More→https://www.comet.com/site/products/opik/features/automatic-prompt-optimization/
featuresTrusted by the most innovative AI teamshttps://www.comet.com/site/products/opik/features/automatic-prompt-optimization/
featuresAutomated prompt engineering gives your complex agentic systems the most predictable LLM performance across multiple models, with efficient iteration built into your LLM eval lifecycle.https://www.comet.com/site/products/opik/features/automatic-prompt-optimization/
featuresExpands GEPA’s built-in baseline evaluation with the full suite of Opik LLM evaluation metrics for more precise optimizationhttps://www.comet.com/site/products/opik/features/automatic-prompt-optimization/
featuresAn AI Platform Built for Enterprise, Driven by Communityhttps://www.comet.com/site/products/opik/features/automatic-prompt-optimization/
featuresENGINEERING MANAGER AT FOR GOOD AI,https://www.comet.com/site/products/opik/features/automatic-prompt-optimization/
featuresNew! Track & optimize Claude Code spend across your engineering team. Learn More→https://www.comet.com/site/
featuresTry Opik Freehttps://www.comet.com/site/
featuresTraces give you total LLM observability to visualize and understand what’s happening across complex GenAI systems, from context retrieval and tool selection to user feedback scores and more. Tracing is easy to instrument with 60+ integrations — pick yours or simply give your coding agent access to all this info via our MCP server.https://www.comet.com/site/
featuresTry Opik freehttps://www.comet.com/site/

These are first-party product claims, not independent measurements of AI-search visibility.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where linkedin.com appears.2 first-page appearances across comet application, comet ml

Website intelligence — Collected evidence

Website evidence gaps

  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
RFP.wikiComet · Strengths, Gaps & Best Fit (2026)Grounded web search/ Source/Feature / Score & Rating / Details & Insights / / --- / --- / --- / / G2 / 4.3 / 12 reviews / / / 4.3 / 12 reviews / / Software Advice / 4.3 / 12 reviews / / Gartner Peer Insights / 4.7 / 3 reviews / / RFP.wiki Score / 3.7 / Review Sites Score Average: 4.4 Features Scores Average: 4.1 /
ToolradarComet ML Reviews, Pricing & Alternatives (2026) / ToolradarGrounded web search## Ratings Across the Web 4.3(26 reviews) Comet ML holds an aggregate rating of 4.3 out of 5 from 26 reviews across G2, last checked September 17, 2026. G2 26 reviews 4.3/5 Ratings aggregated from independent review platforms. Learn more
AI Industry ReviewsComet Review · AI Industry ReviewsGrounded web search“Comet made it easy to compare hyperparameters across dozens of runs without losing the artifact trail. The free tier was enough to prove the workflow before we paid.” ML engineer · PeerSpot-style Comet review summary ·
AWS MarketplaceAWS Marketplace: Comet for SageMaker Partner AI AppsGrounded web search## Customer reviews Info 4.3 10 ratings 5 star 4 star 3 star 2 star 1 star 50% 50% 5 AWS reviews / 5 external reviews External reviews are from PeerSpot . ... comparing model iterations Reviewed on Aug 18, 2026 Review from a verified AWS
checkthat.aiCometGrounded web searchComet maintains a 4.3/5 rating on Capterra based on user reviews. The company maintains ... on major enterprise review platforms like G2 and TrustRadius, with limited publicly available feedback from verified users across standard software review
slateindex.aiComet AI Visibility · Slate IndexGrounded web searchComet’s review footprint in the supplied documents is small, but the signals are still useful. The clearest direct feedback is positive on ease of use and integration, which suggests the product is approachable and not overly difficult to adopt. At the same time, the comparison content consistently points to the kinds of gaps that matter most in B2B buying: limited native integrations, limited customization, and some stability or performance concerns in heavier workflows. That combination makes

Customer proof

Proof typeNamed customer or sourceEvidence
Case studyKes Crandallcustomer case study — “The real selling point of Comet was how it could easily integrate with our training code, easily track everything that we needed, and have a good UI to show it when comparing experiments,” says Kes Crandall, ML Engin… (How CareRev Uses Comet MPM and Experiment Management to Accelerate Innovation - Comet)

Independent mentions

  • Customers / Comet — Comet is trusted by thousands of AI developers and teams, from academics to enterprises. Here are some of their stories. ... Pattern’s Data-Driven Approach to LLM Evaluation with Opik ... Helps Zencoder Build & Test Fully Agentic Software Pipelines -
  • Comet B2B Case Studies & Customer Successes — ### Ancestry speeds up historical document processing with Comet Ancestry Stanley Fujimoto Senior Data Scientist ... end PyTorch speech recognition development with Comet AssemblyAI Michael Nguyen Machine Learning Research

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipNot published on the collected pages.—
Contact and supportData anonymization masks sensitive values, such as email addresses, phone numbers, or your own customer IDs, when Opik shows trace data to a user. Opik stores traces exactly as they are logged. Each time trace data is resource
Legal and privacyWe use cookies to collect statistical usage information about our website and its visitors and ensure we give you the best experience on our website. Please refer to our Privacy Policy to learn more.OkPrivacy policysource
Security and complianceSOC 2, ISO 27001, ISO 9001, HIPAA, and GDPR compliancesource
Uptime and status pageNot published on the collected pages.—
Domain registered1994-11-02—
Domain expires2032-04-09—

Not found on the collected pages: company and ownership, uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Opik Documentation - Open-Source LLM Observability & Optimization / Opik DocumentationDocumentationOpik is an open-source platform that helps you understand what your LLM application is doing, measure how well it's working, and systematically make it better. (source)Not dated
Docs Home - Comet DocsDocumentationSupercharging Machine Learning (source)Not dated
Changelog / Opik DocumentationChangelogDebug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. (source)Not dated
Product FAQFAQAnswers common product, workflow, pricing, privacy, ownership, API, and team questions. (source)Not dated
Opik's MCP server / Opik DocumentationDocumentationYour coding assistant already writes the code. (source)Not dated
Ollie / Opik DocumentationDocumentationWith Ollie and opik connect, Opik becomes the place you actually fix it. Opik is no longer just a place to watch what your agent did. (source)Not dated
Upgrading to Opik 2.0 / Opik DocumentationDocumentationOpik 2.0 reorganized the product around projects. A project now maps to a single agent or app and is the home for everything related to it. (source)Not dated
Quickstart / Opik DocumentationDocumentationThis guide helps you integrate the Opik platform with your existing Agent. (source)Not dated

Not found in the collected public sources: public roadmap, status page, separate help center or knowledge base.

Technical

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Available as cloud (Opik Cloud), open-source self-hosted, and enterprise S1 S18.S1 S18
Platforms and appsWeb application; no desktop or mobile apps mentioned S1.S1
API and extensibility (API, SDK, webhooks, MCP, plugins)Provides Python and TypeScript SDKs, REST API, MCP server, and webhooks S18 S10 S1.S18 S10 S1
Data ownership and exportSupports data anonymization for production traces S40.S40
Performance and reliability claimsProven performance at scale supporting many of the world's largest organizations S1.S1
Release activityChangelog documents ongoing updates and fixes S10.S10
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered1994-11-02 — GoDaddy.com, LLC
Domain expires2032-04-09
TLS certificateAmazon, valid, expires 2027-01-25
Security headersHSTS
Headers not servedCSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headernginx
Mail handled byaspmx.l.google.com, alt2.aspmx.l.google.com
Nameserversns-48.awsdns-06.com, ns-513.awsdns-00.net

Not measurable: wayback: rate limited by archive.org, ladder stopped after 1 probe(s); rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 96/100
  • Critical issues: 0
  • Warnings: 11
  • Notices: 1

Issues

SeverityIssueValueAffected URL
warningMissing meta description—https://www.comet.com/site/products/artifacts-dataset-management/
warningMissing meta description—https://www.comet.com/site/products/model-production-monitoring/
warningTitle length should be reviewed86https://www.comet.com/docs/opik/
warningMissing meta description—https://www.comet.com/docs/v2/
warningPage should have one primary H12https://www.comet.com/docs/v2/
warningMissing canonical URL—https://www.comet.com/docs/v2/
noticeImages are missing alt text3https://www.comet.com/docs/v2/
warningPage should have one primary H10https://www.comet.com/site/pricing/
warningDuplicate title in audit sample2https://www.comet.com/site/
warningDuplicate title in audit sample2https://www.comet.com/site/
warningDuplicate meta description in audit sample2https://www.comet.com/site/
warningDuplicate meta description in audit sample2https://www.comet.com/site/

Crawled pages

StatusTitleH1sWordsResponseURL
200Comet - The AI Developer Platform11686158 mshttps://www.comet.com/site/
200#1 AI Spend Tracker for AI modelCode & Codex176679 mshttps://www.comet.com/site/products/opik/features/ai-spend-tracker/
200Comet - The AI Developer Platform11686308 mshttps://www.comet.com/site/
200Open-Source AI Observability Platform \Opik by Comet11003312 ms
200Automatic Prompt Optimization \Opik Agent Optimizer1838296 ms
200Opik User Stories \Real-World LLM Observability & Eval Tasks1445938 ms
200Compare Opik vs. Alternative AI Observability & Eval Platforms1369881 mshttps://www.comet.com/site/products/opik/compare/
200ML Experiment Tracking \Comet160585 ms
200Artifacts Dataset Management \Comet1359117 ms
200Machine Learning Model Versioning \Comet1474704 ms
200Model Production Monitoring - Comet1481123 mshttps://www.comet.com/site/products/model-production-monitoring/
200Opik Documentation - Open-Source LLM Observability & Optimization \Opik Documentation11021303 ms
200Cost Intelligence \Opik Documentation1816147 ms
200Docs Home - Comet Docs21025109 mshttps://www.comet.com/docs/v2/
200Comet \Flexible Pricing Plans, Free for Academics0344788 ms

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct52.4%
search27.7%
search organic24.6%
search paid3.0%
social9.1%
social organic8.8%
social paid0.3%
referrals6.1%
paid referrals1.2%
mail3.3%
gen ai0.3%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific limitations or competitors. Evidence gaps include lack of detailed pricing for Enterprise, no customer case studies, and no independent reviews. Open questions remain about data retention policies beyond the free tier and specific security certifications.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 14 of 15 collected pages from comet.com, including Opik documentation, changelog, FAQ, and quickstart guides. Evidence was gathered via static and browser rendering rendering; external proof search was enabled but not used for verification. Limitations include missing pricing page details and lack of third-party reviews.

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