API-first
Connect custom AI applications and evaluation workflows through APIs and SDKs.
Connect your application, define measurable behavior, run repeatable evaluations, and move quality signals into the release workflow.
API first · model agnostic · custom criteria
Keep the models, frameworks, and application architecture you already use while adding a dedicated evaluation layer.
Connect custom AI applications and evaluation workflows through APIs and SDKs.
Run established evaluation suites as part of the engineering release process.
Define business-specific quality criteria alongside deterministic and model-based checks.
Bring real-world agent traces back into analysis and future regression tests.
A test can capture the input, expected workflow, required tool, prohibited claims, quality threshold, and operational limits that matter for one business scenario.
name: customer_refund_request
input:
message: "I was charged twice."
expected_behavior:
- identify the billing issue
- use the approved workflow
- explain the next step clearly
evaluations:
task_completion:
minimum_score: 0.90
policy_compliance:
required: true
tool_selection:
expected: billing_lookupIllustrative syntax only. It does not represent a guaranteed final API format.
Book a technical conversation about your stack, test scenarios, evaluators, and release process.