D-AgentProving · Autonomous Agent Assurance

Test your agent today. Make sure it is ready for production tomorrow.

Put complete agent workflows through enterprise digital-twin simulations, adversarial stress tests, and behavioural verification before production depends on them.

Expose weak decisions · Compare configurations · Preserve decision evidence

How D-AgentProving works

Find what could break before production does.

Move beyond prompt-only evaluation by testing actions, state changes, failure recovery, and cost across the complete agent loop.

Enterprise twins

Replicate working context

Connect agents to persistent synthetic services representing payments, tickets, code, collaboration, databases, cloud storage, and incident response.

Adversarial simulation

Apply pressure safely

Inject timeouts, rate limits, corrupted payloads, schema drift, cascading failures, race conditions, and multi-turn manipulation.

Universal adapter

Prove any agent

Connect framework-based or custom agents through an endpoint or adapter, then stream actions and outcomes into the proving run.

Readiness evidence

Compare and verify

Review scorecards for tool accuracy, safety, recovery, reasoning drift, latency, and cost, backed by a tamper-evident run receipt.

One proving workflow

From connected agent to reviewable evidence.

Connect agent
Endpoint or adapter
→
Choose scenarios
Twin and stress suite
→
Run and observe
Actions and state
→
Review evidence
Scorecard and receipt
D-AgentProving Certificate of Assurance

Turn every proving run into verifiable evidence.

Successful evaluation produces a signed Certificate of Assurance tied to the tested agent version, scenario results, scorecard, and Merkle evidence root.

CERTIFICATE OF ASSURANCE

D-AgentProving evaluation receipt

VERIFIED RUN
IdentityAgent version and configuration digest
EvaluationScenario, safety, recovery, and cost results
EvidenceSigned Merkle root for run verification
Focused assurance capabilities

Find failures before customers do.

Chaos injector

Exercise retry logic and recovery against service errors, malformed responses, latency, and changing tool contracts.

Tournament arena

Compare agent prompts, models, tools, and policies on the same scenario set to identify the strongest configuration.

Cost and loop controls

Track token use, run cost, tool volume, and repeated actions to expose expensive or runaway behaviour.

Common questions

Bring an agent. Leave with evidence.

How is this different from a prompt benchmark?

D-AgentProving evaluates multi-step decisions, tool calls, state mutations, failures, recovery, and cost across a complete run.

Does the demo require production credentials?

The proving workflow uses controlled digital-twin services, allowing the agent to act without touching live customer systems or production data.

What should we bring to a demo?

Bring one agent, its intended tools, and the workflow or failure mode you need to prove. We will map it to a focused simulation and review the resulting evidence.

Test today. Trust the evidence tomorrow.

See D-AgentProving challenge an agent workflow that matters to your business.

Your workflow. Your first autonomous outcome.

See autonomy in action.
Start with a free pilot.

Curious how autonomous behaviour could work for your business? Bring a real challenge. We’ll help you define a focused pilot, explore the right product, and agree what success looks like in your environment.

Request your free pilot →

No guesswork. Start with a conversation.