Use case

API-driven evidence collection

Submit simple target intent, poll bounded jobs and consume canonical objects through workspace-scoped keys.

Starting targetOne supported public target per API request
Useful depthsQuick, Balanced, Deep Research, Advanced Investigation
Recommended planChoose by credits, concurrency, retention and required scan depth.

Likely evidence

  • Canonical result objects
  • Evidence-backed findings
  • Job progress and component state

Graph relationships

  • Results retain canonical identities
  • Findings reference affected objects
  • Job owns one immutable plan

Expected outputs

  • Cursor-paginated API records
  • Stable request and job references
  • Automated evidence handoff

Safety boundary

Evidence still needs judgment.

Keep keys server-side, use least scopes and preserve the same Idempotency-Key on uncertain retries.

This workflow is explanatory, not a scan profile or guarantee of discovery. Target compatibility, registry readiness, configuration, scope and budget determine the exact plan.

Start with a target

Turn this workflow into an explainable investigation.

Create an account to plan your first evidence-backed investigation, or talk to us about team and workflow requirements.