CoreCompliance

Test the protocol with your own data.

The evaluation environment runs the same engine and protocol as production. It is not a demo or simulation — it executes real screening logic against reference data.

What you can try.

Batch screening accuracy

Submit a known entity list and compare resolution results against expected outcomes. Inspect which layer resolved each entity and the confidence basis.

Layer distribution analysis

Review how entities distribute across L1 (deterministic), L2 (vector), L3 (semantic), and L4 (human review). Understand cost implications per layer.

Evidence completeness

Examine the DecisionEventPackage for representative entities. Verify that lineage, rule bindings, data bindings, and configuration snapshots are present.

Integration patterns

Test API endpoints with your existing tooling. Validate request/response schemas, error handling, and webhook delivery.

Audit report format

Generate a sample audit report and review the regulatory narrative format. Confirm the evidence chain meets your reporting requirements.

Limits and safety.

The evaluation environment has defined boundaries. Evaluation access does not grant production API keys, production data, or system configuration access.

ConstraintLimit
Batch sizeUp to 1,000 entities per submission
L3 budgetCapped per evaluation tenant
Data scopeReference watchlist data (not production feeds)
RetentionEvaluation data retained for 30 days
Tenant isolationEvaluation tenants fully isolated from production

Request access.

There is no sales process required to begin evaluation. Access is granted based on use case fit.

  1. 1.Submit a request with your organization, use case, and estimated screening volume.
  2. 2.Receive evaluation access details after review.
  3. 3.Submit test data, inspect results, validate integration patterns.
  4. 4.Export evidence samples and audit reports for internal review.
  5. 5.Proceed to production onboarding or schedule a technical discussion.

Ready to evaluate.

Request evaluation access. We'll follow up after reviewing your use case.