Now accepting design partners

Your agent will fail.
Find out how.

Find the fault. Fix the flow.

Faultr stress-tests agentic transactions before they go live — so your AI doesn't buy the wrong thing, overspend, or violate its mandate.

Request Early Access See how it works

faultr — stress test session

$ faultr run --agent shopping-agent --scenarios 100

⠿ Running 100 synthetic transactions against mandate...

✓ 72 transactions within mandate bounds

⚠ 19 transactions exceeded budget threshold by 12-40%

✗ 6 transactions purchased unauthorized product categories

✗ 3 transactions failed intent verification — agent hallucinated preferences

→ 28 faults detected. Report: faultr.ai/run/a3f9c2

# Found before your users did.

// the problem is already here

Find the cracks before they cost you.

4,700%

surge in AI-driven traffic to U.S. retail sites

— Visa, 2025

69%

of merchants have experienced AI-enabled fraud, yet only 3% feel prepared

— Deloitte, 2025

18,510%

day-over-day increase in agentic traffic after ChatGPT Agent launched

— Forter, 2025

87%

of CTOs say trust is the biggest barrier to agentic payments adoption

— Accenture, 2025

// how it works

Test. Trace. Trust.

Three steps from untested agent to production-ready.

01 — Test

Stress-test

Run hundreds of synthetic transactions against your agent's mandate. Simulate budget overruns, category violations, hallucinated preferences, and edge cases your QA can't imagine.

02 — Trace

Trace faults

Every fault gets a full trace — what the agent was told, what it decided, and where it deviated. Pinpoint exactly which step in the chain broke and why.

03 — Trust

Ship with confidence

Fix the faults, re-run, and deploy knowing your agent has been battle-tested. Coming in v2: continuous monitoring and dispute evidence logging in production.

// why faultr exists

Agents erase every signal you relied on.

No mouse movements, no device fingerprint, no session behavior. Traditional fraud tools were built to watch humans. Agents don't have fingers.

Mandates are semantic, not binary. "Buy me something nice for under $200" is a mandate. How do you test whether your agent interprets that correctly across 500 product categories?

Agents hallucinate preferences. Your shopping agent might "remember" a preference that was never stated, or infer a brand preference from a passing comment. This creates disputes no one can adjudicate.

Current chargeback rules don't fit. When an AI agent buys the wrong thing, who's at fault? The user, the developer, the merchant, or the model provider? There's no playbook.

You can't QA what you can't predict. Manual test cases cover 20% of real-world agent behavior. Faultr generates the other 80%.

// who it's for

Built for teams shipping agents.

Agent developers

You built the agent. Now prove it works.

Stress-test your agent's transaction logic against real-world scenarios before you hand it a credit card. Know exactly where it breaks — and fix it before launch.

Platform teams

Your users' agents run on your infra.

When a third-party agent misbehaves on your platform, you carry the liability. Faultr gives you the evidence layer to understand what went wrong and why.

Commerce teams

AI traffic is coming. Are you ready?

Visa saw a 4,700% surge in agent-driven traffic. If your checkout isn't tested for agentic edge cases, you're flying blind into the biggest shift since mobile.

// pricing

Start free. Scale when you're ready.

One API endpoint. Three tiers. No sales call required for Free or Pro.

Free

50 evaluations / month

✓ 3 core scenarios (S01, S02, S09)
✓ Single agent config
✓ JSON response only
✓ Community support (GitHub)
✓ 10 req/min rate limit

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Don't ship blind.

Because agents don't get second chances.

Request Early Access

We're onboarding design partners now. Limited spots.

Your agent will fail.Find out how.