Google Cloud Agent Evaluation

Google Cloud Agent Evaluation is ranked #4 of 29 in AI agent evaluation tools on The Geeks Club. It runs on API, Web. There is no free plan. A free trial is offered.

Google Cloud Agent Evaluation plans and pricing

All plans

Pay-as-you-go usage Free $0.00003 per 1k input characters and $0.00009 per 1k output characters for computation-based metrics; model-based metrics are charged for underlying autorater model prediction costs. Pricing is usage-based; model-based metric charges depend on dataset input tokens and autorater output · Third-party model evaluation also incurs model inference charges cloud.google.com · 2 Oct 2026

Compared on AI agent evaluation tools

Evaluation methods: hybrid
Tool-call checks: Yes
Trace ingestion: Yes
Safety evaluations: Yes
Regression runs: Yes
SDK language support: both

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Google Cloud Agent Evaluation

Purpose: Agent evaluation measures and helps improve agents' performance, safety, and quality.
Evaluation workflow: The workflow defines evaluation cases, runs inferences, captures behavior traces, computes metrics, analyzes results, and optimizes the agent.
Synthetic scenarios: It can automatically generate diverse, multi-turn synthetic test scenarios from agent instructions and tool definitions.
Environment simulation: It can intercept tool calls to inject custom behavior, mocked data, or simulated errors such as HTTP 503 errors and latency spikes.
Metrics: Prebuilt or custom raters score traces, including reference-based Exact Match and reference-free Helpfulness metrics.
Production traces: Evaluation can score traces captured from production traffic or external logs without a managed test environment.
Prompt optimization: Prompt optimization identifies failure points and iteratively proposes targeted updates to system instructions.
Integrations: Google provides evaluation notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub.
Coding assistant support: Evaluation skills for Gemini CLI or other AI coding assistants provide workflows, dataset schemas, metric guidance, and failure analysis steps.
Third-party models: The console tutorial says the Gen AI evaluation service can evaluate Anthropic and Llama partner models through Agent Platform Model Garden.
Quota limit: The documented default quotas include 1,000 evaluation service requests per project per region per minute and 20 concurrent evaluation runs per project per region.
Trial credits: New Google Cloud customers get $300 in free credits to run, test, and deploy workloads.
Support: Google Cloud Basic Support includes documentation, community forums, billing assistance, and Active Assist; customers can upgrade for tailored technical support.
Compliance: Google Cloud states that its services undergo independent verification of security, privacy, and compliance controls and achieve certifications against global standards.

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Where it ranks on The Geeks Club

Best AI Agent Evaluation Tools in 2026#4 of 29
Best AI Prompt Generators in 2026#2 of 29
Best Retrieval-Augmented Generation Tools in 2026#4 of 26

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Sources

docs.cloud.google.com/gemini-enterprise-agent-platform/optimi· checked 2 Oct 2026
docs.cloud.google.com/gemini-enterprise-agent-platform/models· checked 2 Oct 2026
docs.cloud.google.com/gemini-enterprise-agent-platform/models· checked 2 Oct 2026
cloud.google.com/support· checked 2 Oct 2026
cloud.google.com/security/compliance/offerings/· checked 2 Oct 2026
cloud.google.com/products/gemini-enterprise-agent-platfo· checked 2 Oct 2026