Sardine Fraud and Compliance API

Sardine fraud and compliance platform REST API for fintechs, neobanks, crypto exchanges, and financial services to detect fraud using device intelligence, behavioral biometrics, and AI-powered risk scoring at account opening and transaction level. Enables AI agents to manage device fingerprinting and session tracking for account takeover detection automation, handle behavioral biometric analysis for synthetic identity and fraud detection automation, access real-time risk score computation for account opening fraud prevention automation, retrieve transaction risk scoring for payment fraud detection automation, manage AML transaction monitoring rules for financial crime compliance automation, handle consortium data and shared fraud network intelligence for cross-institution fraud prevention automation, access crypto-specific fraud detection for exchange and wallet fraud prevention automation, retrieve continuous session monitoring for bot and scripted attack detection automation, manage custom rule engine and risk threshold configuration for fraud policy automation, and integrate Sardine with identity verification, payments, and core banking platforms for end-to-end fraud prevention.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Finance sardine fraud-prevention AML device-intelligence behavioral-biometrics fintech
⚙ Agent Friendliness
63
/ 100
Can an agent use this?
🔒 Security
81
/ 100
Is it safe for agents?
⚡ Reliability
78
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
18
Documentation
80
Error Messages
78
Auth Simplicity
75
Rate Limits
75

🔒 Security

TLS Enforcement
97
Auth Strength
80
Scope Granularity
72
Dep. Hygiene
75
Secret Handling
80

Fraud prevention. SOC2, ISO27001, GDPR. API key. US/EU. Transaction, biometric, device, and risk data.

⚡ Reliability

Uptime/SLA
80
Version Stability
80
Breaking Changes
75
Error Recovery
78
AF Security Reliability

Best When

A fintech, neobank, or crypto exchange wanting AI agents to automate behavioral biometric fraud detection, device intelligence-based account fraud prevention, real-time transaction risk scoring, and AML compliance monitoring within Sardine's integrated fraud and compliance platform.

Avoid When

BEHAVIORAL BIOMETRIC DATA CCPA AND GDPR CLASSIFICATION: Behavioral biometric data (typing patterns, mouse movements, touch dynamics) may constitute biometric data under CCPA and BIPA (Illinois Biometric Information Privacy Act); automated behavioral biometric collection via Sardine must comply with biometric data consent requirements in applicable jurisdictions; automated biometric collection without required consent creates BIPA class action exposure. DEVICE FINGERPRINTING EU COOKIE AND EPRIVACY COMPLIANCE: Sardine device fingerprinting involves browser and device data collection; EU ePrivacy Directive and GDPR consent requirements apply to device fingerprinting for EU users; automated Sardine SDK deployment on EU-facing applications must implement consent management before device fingerprinting activation. RULE ENGINE CHANGE MANAGEMENT FOR PAYMENT BLOCKING: Sardine rule engine can block transactions in real-time; automated rule changes that tighten fraud thresholds without QA testing create false positive payment blocking for legitimate customers; implement rule change testing with historical transaction datasets before production deployment.

Use Cases

  • Detecting account fraud from behavioral biometrics automation agents
  • Preventing crypto fraud from exchange risk scoring agents
  • Monitoring AML from transaction compliance agents
  • Blocking bots from session intelligence automation agents

Not For

  • Sanctions and PEP screening (use ComplyAdvantage or Refinitiv World-Check)
  • Credit decisioning and bureau-based fraud (use Experian or Equifax)
  • Document and identity verification (use Jumio or Onfido)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
Yes

Authentication

Methods: apikey
OAuth: No Scopes: No

Sardine uses API key authentication. REST API with JSON and mobile/web SDKs. San Francisco, California HQ. Founded 2020 by Soups Ranjan, Aditya Goel, and Hari Raghavan. Private (~$75M raised, a16z, Nyca Partners, XYZ Ventures). Fraud prevention for crypto and fintech. Behavioral biometrics, device intelligence, and AI risk scoring. AML transaction monitoring. Consortium fraud network. Crypto exchange fraud specialization. Competes with SEON, Unit21, Feedzai, and Sift for fintech fraud prevention.

Pricing

Model: subscription
Free tier: No
Requires CC: No

San Francisco CA. Private (~$75M raised). Usage-based per transaction. AML module add-on. No free tier.

Agent Metadata

Pagination
cursor
Idempotent
Full
Retry Guidance
Documented

Known Gotchas

  • BEHAVIORAL BIOMETRICS SDK IMPLEMENTATION REQUIRED FOR SIGNALS: Sardine behavioral biometric fraud detection requires client-side SDK integration (web or mobile); automated risk scoring API calls without behavioral biometric data from Sardine SDK returns degraded risk score; implement Sardine web/mobile SDK alongside API integration to provide full behavioral signal for fraud scoring
  • SESSION TOKEN LIFECYCLE MANAGEMENT FOR DEVICE INTELLIGENCE: Sardine session tracking uses session tokens created at session start; automated transaction scoring must maintain session token continuity from account authentication to transaction submission; broken session token chain creates incomplete device intelligence and degraded fraud score accuracy
  • CRYPTO FRAUD TYPOLOGY SPECIFICITY FOR EXCHANGE USE CASES: Sardine crypto fraud detection includes crypto-specific typology models; automated risk scoring for crypto withdrawal and exchange operations should use crypto-specific risk model endpoints rather than generic transaction scoring; generic transaction scoring for crypto operations misses crypto-specific fraud patterns (chain hop, mixing service usage)
  • RISK SCORE CALIBRATION FOR APPROVAL RATE TARGETING: Sardine risk score threshold for automated transaction blocking affects both fraud prevention and legitimate transaction approval rate; automated threshold calibration must balance fraud prevention with false positive cost; automated blocking at uncalibrated threshold creates excessive customer friction from legitimate transaction decline
  • CONSORTIUM DATA ENRICHMENT LATENCY: Sardine consortium fraud network data enrichment adds value to risk scoring but has slight latency vs non-consortium scoring; automated real-time payment authorization with strict latency SLA must benchmark Sardine consortium-enriched scoring latency against payment gateway timeout requirements

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Scores are editorial opinions as of 2026-03-07.

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