Opik
Opik is an open-source LLM evaluation, testing, and tracing platform developed by Comet ML that enables developers to debug, evaluate, and monitor LLM applications, RAG systems, and agentic workflows. The platform provides a REST API for logging traces and spans, running automated evaluations with LLM-as-a-judge metrics, managing datasets and experiments, and tracking production performance. Opik supports over 40 framework integrations including LangChain, LlamaIndex, and OpenAI, and is available as a self-hosted open-source deployment or as a managed cloud service on Comet's platform.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Opik the way a machine reads it — 52 machine-readable artifacts across 39 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Opik scores 57.3/100 (developing), with a separate agent-readiness read of 24/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Opik
Each block below is one kind of artifact we hold for Opik. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 39
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Opik Agent Configs API
Agent configuration management
Opik AI Spend API
Coding-agent spend analytics
Opik Alerts API
Alert resources
Opik Annotation Queues API
Private annotation queue operations
Opik Assertion Results API
Assertion result related resources
Opik Attachments API
Attachments related resources
Opik Automation rule evaluators API
Automation rule evaluators resource
Opik Chat Completions API
Chat Completions related resources
Opik Check API
Access check resources
Opik Dashboards API
Workspace Dashboard resources
Opik Datasets API
Dataset resources
Opik Environments API
Environment related resources
Opik Experiments API
Experiment resources
Opik Feedback-definitions API
Feedback definitions related resources
Opik Guardrails API
Guardrails related resources
Opik Insights Views API
Insights View resources
Opik Is Alive API
The Is Alive API from Opik — 2 operation(s) for is alive.
Opik LLM Models API
LLM model registry resources
Opik LlmProviderKey API
LLM Provider Key
Opik Manual Evaluation API
Manual evaluation resources for traces, threads, and spans
Opik MCP OAuth API
MCP OAuth 2.1 Authorization Server resources
Opik Ollama API
Ollama provider configuration endpoints with OpenAI-compatible API support.
Opik Ollie State API
Ollie pod state persistence
Opik OpenTelemetry Ingestion API
Resource to ingest Traces and Spans via OpenTelemetry
Opik Optimizations API
Optimization resources
Opik Pairing API
Pairing sessions for the `opik connect` and `opik endpoint` CLI commands
Opik Projects API
Project related resources
Opik Prompts API
Prompt resources
Opik Redirect API
Redirects for SDK generated links
Opik Reports API
Ollie daily report management
Opik Retention Rules API
Data retention rule management
Opik Runners API
Local runner management endpoints
Opik Service Toggles API
Service Toggles resources
Opik Spans API
Span related resources
Opik System usage API
System usage related resource
Opik Traces API
Trace related resources
Opik Welcome Wizard API
Welcome wizard tracking resources
Opik Workspace permissions API
Workspace permissions related resources
Opik Workspaces API
Workspace related resources
Scroll within the panel for all 39 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Opik Plans Pricing
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Opik Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Opik Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Opik Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Opik API Rules
SPECTRALJSON Schema 3
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Examples 3
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Opik — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 5
Reference material describing how the API behaves
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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