AI Trust Scoring

Behavioral trust scores that stop fraud before it costs you

Karma3 Labs scores every user action on your marketplace using behavioral signals, not rules. Catch fraud at submission time, not after the chargeback.

3.5%
of gross marketplace volume lost to fraud annually
industry median, 2024 Payments Study
48%
of fraud prevention blocks hit legitimate orders
false positive rate, rule-based systems
67ms
median API response time for a full behavioral score
p50 across early-access scoring events

What We Measure

Behavioral signals that rule engines cannot see

Session patterns, device fingerprints, and interaction timing compose a trust score specific to each user and each event on your platform.

Session Behavior

Click cadence, scroll depth, navigation path, and timing anomalies reveal automated behavior that credential checks miss.

Device Reputation

Cross-marketplace device history tracks whether a device has been associated with disputes, chargebacks, or policy violations elsewhere.

Network Graph Signals

Shared devices, coordinated session timing, and reused contact information surface fraud rings operating across multiple accounts.

Measured Impact

Measured from the early-access cohort

~34%
reduction in chargeback rate
median across early-access marketplace partners, first 90 days
~61%
false positive rate reduction vs. prior rule engine
median across same partner cohort
99.4%
API uptime target
measured across HTTPS REST + event stream endpoints
Fraud rate trend after Karma3 deployment 1% 2% 3% Deployment Before After Karma3 -34%

Platform Fit

Built for the fraud problems marketplaces actually face

Account Takeover

Catch credential stuffing before checkout

Attackers use valid credentials from breaches. Standard auth passes them through.

Behavioral anomalies during login and early session flag ATO attempts in real time, before an order is placed.

Synthetic Identity

Identify fabricated accounts at onboarding

Synthetic identities pass KYC but exhibit distinct behavioral patterns during account creation.

Onboarding-phase signals identify synthetic identity clusters before they reach your transaction layer.

Friendly Fraud

Score dispute risk before fulfillment

Customers who intend to dispute or return after receipt show behavioral signals during browsing and checkout.

Pre-fulfillment trust scores let you apply additional verification selectively without slowing good customers.

What Customers Say

Heard from the teams who deployed it

"We cut our manual review queue by more than half in the first month. The behavioral signals catch things our rule engine simply cannot see."

David K.
Head of Trust, mid-size e-commerce marketplace, early-access program

"Integration took our backend team two days. The API is straightforward and the scoring latency does not affect our checkout conversion at all."

Sabrina R.
VP Engineering, B2C rental platform, early-access program

"The false positive reduction was the headline, but what surprised us was catching fraud rings we had no idea were operating across our user base."

Marcus N.
Director of Risk, peer-to-peer marketplace, early-access program

Developer-First API

One endpoint. A trust score in under 100ms.

Post a behavioral event payload and receive a trust score with contributing signal weights. Integrate in hours, not weeks. SDKs for Node.js, Python, Go, and Ruby.

Get Started

Start scoring behavioral trust on your platform

Connect with our team to see how Karma3 fits your fraud prevention stack. Most integrations are live within two weeks.