BenchRank
#25 in AI Development PlatformsUpdated 2026-08

Laminar

by Laminar · Open-source tracing, evals and debugging for AI agents

57.8 — BenchRank score out of 100

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Overview

Laminar traces, evaluates and debugs AI agents. It ingests traces over OTLP from SDKs including the Claude Agent SDK, LangChain and Playwright, and Signals — error descriptions written in plain English — read each run, group matching events into named clusters and alert via Slack or email. Clusters can be turned into eval datasets, and a CLI and MCP server let a coding agent rerun and fix traces.

Best for
Teams building LLM agents who need tracing, failure alerts and evals in one place.
Pricing
Free tier, then $30/month (Starter) or $150/month (Pro) with data and Signals overage charges; Enterprise is custom.
Runs on
WebSelf-hostedCLI

Strengths and trade-offs

Strengths

  • Open source under Apache 2.0, self-hostable via Docker or Helm
  • Plain-English Signals alert to Slack when a run breaks
  • Raw SQL access to platform data plus custom dashboards
  • Integrations for Claude Agent SDK, LangChain, Playwright

Trade-offs

  • Free tier is 1 seat, 1 project and 7 days of retention
  • Data and Signals overages make the monthly bill variable
  • Retention caps at 6 months below Enterprise
  • Pricing page lists on-premise only under Enterprise

Pricing

Published plans from Laminar’s own pricing page, in USD. Usage charges and add-ons may apply on top.

Laminar pricing tiers, monthly rates in USD
PlanMonthlyIncludes
FreeFreeflat rate
  • 1 GB data, no overage
  • $5 in Signals, no overage
  • 7 day retention
  • 1 project, 1 seat, community support
Starter$30flat rate plus usage
  • 3 GB data included, then $2/GB
  • $15 in Signals, then $0.5/$3 per 1M input/output tokens
  • 30 day retention
  • Unlimited projects and seats, email support
Pro$150flat rate plus usage
  • 10 GB data included, then $1.50/GB
  • $50 in Signals, then $0.4/$2.5 per 1M input/output tokens
  • 6 month retention
  • Unlimited projects and seats, Slack support
EnterpriseContact sales
  • Custom limits
  • On-premise deployment
  • Unlimited projects and seats
  • Dedicated support

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support
60 out of 100
API quality
10 out of 100
Documentation
70 out of 100
Agent friendliness
43 out of 100
Pricing transparency
100 out of 100
Changelog
100 out of 100
Marketing site structure
75 out of 100
Operational trust
20 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness
85 out of 100
Maintenance
100 out of 100

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