The Platform
Every signal your fraud stack has been missing
Karma3 processes behavioral events in real time, extracts dozens of signals from each session, and returns a 0-100 trust score in under 100 milliseconds. No rules to tune. No threshold to manage.
What We Score
Behavioral signals across four dimensions
Each trust score draws from signals that a rule engine cannot observe: how a user moves, what devices they use, how their account history compares to normal patterns, and whether their network connections flag risk.
Session Behavior
Click cadence, scroll depth, navigation path, form fill timing, and cursor movement anomalies.
Device Reputation
Cross-platform device fingerprint history: disputes, chargebacks, and policy violations linked to the device.
Account History
Velocity patterns, login anomalies, and behavioral drift from the account's own established baseline.
Network Graph
Shared devices, IP clustering, coordinated timing, and reused contact fields that indicate organized fraud rings.
Under the Hood
From raw event to score in sub-100ms
The Karma3 scoring pipeline processes each event through a four-stage inference chain. The result arrives before your platform makes a decision that matters.
API Response Format
A score you can act on immediately
The Karma3 API returns a structured JSON response with the overall trust score, a verdict recommendation, individual signal weights, and latency metadata. Your team can build decision logic against any field.
- trust_score: 0-100 integer
- verdict: allow / review / deny
- Per-signal breakdown with weights
- Confidence level and latency_ms
Measured Accuracy
Performance numbers from early-access deployments
All metrics based on internal beta data across early-access marketplace partners.
Ready to Integrate
See the Karma3 platform in your stack
Request a live demo and we will walk through how the trust score API fits your specific fraud surface.