Laminar
Laminar is an open-source, OpenTelemetry-native observability and debugging platform built for AI agents and LLM applications. It traces every LLM call, tool call, and sub-agent a run produces, renders each trace as a readable transcript rather than a raw span tree, and turns that data into answers: a record-and-replay Debugger that serves everything before your change from cache so each iteration takes seconds, and Signals that let you describe outcomes and failures in plain language and extract structured events across all traces for clustering and alerting. The platform adds evaluations, datasets and labeling queues, a playground, full-text search, custom dashboards, and read-only ClickHouse SQL over trace data from the UI, the lmnr-cli, or a hosted MCP server. Laminar ships TypeScript and Python SDKs with auto-instrumentation for the Vercel AI SDK, Claude Agent SDK, OpenAI Agents SDK, LangChain/LangGraph, Pydantic AI, Browser Use, Playwright and more, and can run as managed Laminar Cloud or fully self-hosted via Docker Compose or Kubernetes/Helm.
Laminar publishes 3 APIs on the APIs.io network. Tagged areas include Observability, LLM, AI Agents, Tracing, and OpenTelemetry.
Laminar’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 22 more developer resources.
Kin Score
APIs 3
Individual APIs this provider publishes, each with its own machine-readable definition.
Laminar SQL Query API
Run SELECT-only ClickHouse SQL over a project's observability data via POST /v1/sql/query. Authenticates with a project API key as a bearer token, accepts a query plus typed {na...
Laminar OpenTelemetry Trace Ingest API
The standard OpenTelemetry trace ingest endpoint at /v1/traces. Laminar accepts OTLP over gRPC, HTTP+protobuf, and (since May 2026) HTTP+JSON, so any OpenTelemetry-capable runti...
Laminar Evaluations API
The lower-level LaminarClient.evals surface for wiring evaluations into an existing pipeline: create an evaluation, pre-register each datapoint so a row is visible in the UI bef...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
laminar-mcp.yml
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Laminar Plans
PLANSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type