Tool-using agents
Claude calling your functions and APIs to look up information and take actions, with tool definitions and system prompts shaping its behavior.
SERVICES / MODEL PROVIDERS
Evaluate agents built with Claude.
Independent, application-specific evaluation for agents using Anthropic's Claude models, including tool use, long-context work and fair comparisons when you change model versions.
How teams build with Claude
Long-document and analysis work
Agents that read contracts, reports, codebases or case files and produce summaries, decisions or drafts from them.
Agent frameworks
Agents built with the Claude Agent SDK or other orchestration frameworks, running multi-step tasks with planning and tools.
What we assess
Task outcome and tool use
Whether Claude completes the workflow with correct tool selection and arguments, and whether the resulting state is right.
Faithfulness to sources
Whether answers from long documents are accurate and complete, with no unsupported claims or missed critical details.
Instruction and policy adherence
Whether system-prompt rules, formats and business policies hold across varied inputs and long conversations.
Model migrations without guesswork
Moving to a newer Claude model, or a different size for cost or speed, should be a measured decision.
Same reviewed tasks
Both versions run the identical, reviewed dataset, so differences reflect the model rather than the test.
Prompts may need tuning
A prompt tuned for one model can underperform on another. We separate "model is worse" from "prompt needs adjusting" before you decide.
Quality, latency and cost together
Results show quality gains or regressions next to latency and cost per successful task, so trade-offs are explicit.
Comparison controls
Recorded configuration
Model version, system prompt, tool definitions and settings are captured for every run.
Repeated runs
Selected cases run multiple times per version to separate real differences from run-to-run variation.
Known limits stated
Rubric disagreements, coverage gaps and sample sizes are reported with the conclusion.
Plan the engagement
Your inputs
API or test environment access, current prompts and tool definitions, business rules, example tasks and a domain reviewer.
Your deliverables
A benchmark, prioritized findings, a migration recommendation where relevant and reusable evaluation assets.
Support after handover
We can retest fixes, extend coverage to new Claude workflows or move to recurring Managed Evaluations as your agent changes. Platform usage and licenses stay in your account.
Make your next decision with evidence.
Start with one workflow, clear success criteria, and an evaluation plan your team can use.