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Google Cloud Agent Evaluation vs LangWatch

Google Cloud Agent Evaluation

docs.cloud.google.com

LangWatch

langwatch.ai

Side by side

FigureGoogle Cloud Agent EvaluationLangWatch
Price fromFree€29/mo
Free planYesYes
Free trialYesYes
Open source—Yes
WebYesYes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published13
Spec score · AI Agent Evaluation Tools7.9 (#15)9.0 (#5)
ComplianceGoogle Cloud states that its services undergo independent verification of security, privacy, and compliance controls and achieve certifications against global standards.LangWatch states ISO 27001 certification, GDPR compliance, EU data residency and SOC 2 coverage through AWS.
HeadquartersMountain View, California, United StatesAmsterdam
IntegrationsGoogle provides evaluation notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub.Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM.
SupportGoogle Cloud Basic Support includes documentation, community forums, billing assistance, and Active Assist; customers can upgrade for tailored technical support.Developer users receive GitHub and Discord community support, while Growth includes private Slack or Teams support.

Plans

Google Cloud Agent Evaluation

  • Pay-as-you-go usageFree

Google Cloud Agent Evaluation pricing →

LangWatch

  • DeveloperFree
  • Growth€29 a month
  • EnterprisePriced on request

LangWatch pricing →

In their own words

Google Cloud Agent Evaluation

Google Cloud Agent Evaluation helps measure and improve agent performance, safety, and quality. Its workflow runs from defining evaluation cases through inference, behavior-trace capture, metric calculation, result analysis, and optimization. It can generate varied, multi-turn test scenarios from agent instructions and tool definitions, and intercept tool calls to supply custom behavior, mocked data, or simulated errors such as HTTP 503 responses and latency spikes. Prebuilt or custom raters score traces with reference-based Exact Match or reference-free Helpfulness metrics. Teams can also evaluate production-traffic traces or external logs without a managed test environment. Prompt optimization identifies failure points and proposes focused system-instruction changes. The service supports tool-call checks, safety evaluations, regression runs, trace ingestion, and custom models. Access is through API or web, with notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub. Pricing is usage-based: $0.00003 per 1k input characters and $0.00009 per 1k output characters for computation-based metrics; model-based metrics also incur underlying autorater model costs. New Google Cloud customers get $300 in trial credits.

Visit docs.cloud.google.com

LangWatch

LangWatch is an AI agent engineering platform for teams preparing agents for production. Simulations cover multi-turn conversations, tool use, recovery, and business outcomes before launch. Evaluations can run on datasets, production traffic, or in CI/CD workflows that gate merges. Traces show agent steps alongside cost, tokens, duration, errors, evaluations, and annotations. Integrations include Python and TypeScript SDKs, OpenTelemetry, REST ingestion, model providers, and frameworks such as LangGraph, LangChain, CrewAI, and DSPy. Voice-agent testing supports OpenAI Realtime, Gemini, ElevenLabs, Google Live API, Pipecat, WebSocket bots, and Twilio. Deployment options are managed cloud, self-hosted, and hybrid; self-hosting uses Docker Compose and the customer’s ClickHouse. LangWatch is open source under Apache 2.0. The Developer plan costs nothing and includes 50k events per month, 14-day data access, and two users. Growth costs €29 a month per core seat and includes 200k events. The trust center lists encryption, access controls, privacy features, and enterprise DPAs.

Visit langwatch.ai