aid: datavisor
name: DataVisor
description: 'DataVisor is a Mountain View, California fraud and risk platform company
  founded in 2013 that applies unsupervised machine learning, rules, device intelligence
  and link analysis to detect fraud and financial crime in real time for banks, credit
  unions, fintechs, digital payments, life insurance and digital enterprises. The
  platform covers ACH and wire fraud, account onboarding, application fraud, account
  takeover, card fraud, check fraud, FinCrime/AML and promotion abuse, and is delivered
  as an API-integrated detection engine: customers stream events to a DataVisor integration
  endpoint over real-time synchronous HTTPS REST (TLS 1.2) or batch/cloud-bucket pipes,
  and consume detection results, scores and reason codes back through APIs or bucket
  push. Named product modules include the Fraud and Risk Platform, the dEdge device
  intelligence SDK and WebAPI, dOps fraud and risk operations, dVecto managed ML detection,
  the UML Modeling Studio and the Vera conversational AI agent. API references and
  the integration guide are published publicly, but the API guide itself, the detailed
  endpoint documentation and the admin console are gated behind customer accounts
  and technical account managers.'
image: https://cdn.prod.website-files.com/6761698ddf0927f45e0c6407/69a89878e0d86861b9163582_DataVisor-OG.png
url: https://raw.githubusercontent.com/api-evangelist/datavisor/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-01'
modified: '2026-08-01'
tags:
- Company
- Fraud Detection
- Fraud Prevention
- Anti-Money Laundering
- Financial Crime
- Risk Management
- Machine Learning
- Artificial Intelligence
- Device Intelligence
- Banking
- Payments
- Compliance
apis:
- aid: datavisor:fraud-and-risk-platform
  name: DataVisor Fraud and Risk Platform API
  description: 'Real-time fraud and risk detection API surface. Customers stream user
    events and transactions to a DataVisor integration endpoint and receive detection
    results, risk scores and reason codes back. The default integration mechanism for
    all DataVisor APIs is real-time, synchronous, HTTPS-based RESTful calls secured
    with TLS v1.2; queue-based asynchronous real-time integration and batch/cloud-bucket
    push are available on request. Which APIs are used depends on the solution modules
    a customer subscribes to.'
  humanURL: https://www.datavisor.com/datavisor-api-guide
  x-base-url-note: 'No public production base URL is published. DataVisor deploys the
    detection system to dedicated per-customer cloud machines (AWS, GCP, Azure, AliCloud,
    on-premises or private cloud), so the integration endpoint is customer-specific
    and issued by the technical account manager. No baseURL is recorded here rather
    than inventing one.'
  tags:
  - Fraud Detection
  - Risk Management
  - Machine Learning
  properties:
  - type: Documentation
    url: https://www.datavisor.com/integrations/datavisor-integration-guide-for-comprehensive-fraud-solution
  - type: APIReference
    url: https://www.datavisor.com/datavisor-api-guide
- aid: datavisor:dedge-device-intelligence
  name: DataVisor dEdge Device Intelligence WebAPI
  description: 'Device intelligence surface. The dEdge SDK is embedded in an iOS app,
    Android app or HTML5 web page, sends encrypted device data to the dEdge server,
    and receives a device token. That token is then used to query the dEdge server
    WebAPI for device-specific information such as device IDs, risk scores and other
    risk signals, which can also be fed automatically into DataVisor''s machine learning
    and rules engines.'
  humanURL: https://www.datavisor.com/integrations/datavisor-integration-guide-for-device-intelligence
  x-base-url-note: 'The dEdge server host is not published publicly; access is issued
    per customer with access keys and IP allowlisting. No baseURL is recorded rather
    than inventing one.'
  tags:
  - Device Intelligence
  - Fraud Detection
  properties:
  - type: Documentation
    url: https://www.datavisor.com/integrations/datavisor-integration-guide-for-device-intelligence
  - type: Product
    url: https://www.datavisor.com/products/datavisor-device-intelligence
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.datavisor.com/
- type: Documentation
  url: https://www.datavisor.com/integrations/datavisor-integration-guide-for-comprehensive-fraud-solution
- type: APIReference
  url: https://www.datavisor.com/datavisor-api-guide
- type: Support
  url: https://datavisor.zendesk.com/hc/en-us
- type: Blog
  url: https://www.datavisor.com/blog
- type: About
  url: https://www.datavisor.com/about
- type: Careers
  url: https://apply.workable.com/datavisor-jobs/
- type: LinkedIn
  url: https://www.linkedin.com/company/datavisor/
- type: Partners
  url: https://www.datavisor.com/partners
- type: Marketplace
  url: https://azuremarketplace.microsoft.com/en/marketplace/apps/datavisor.datavisor_dcube
- type: TermsOfService
  url: https://www.datavisor.com/terms-of-service
- type: PrivacyPolicy
  url: https://www.datavisor.com/privacy-policy
- type: Compliance
  url: conformance/datavisor-conformance.yml
- type: Authentication
  url: authentication/datavisor-authentication.yml
- type: Conventions
  url: conventions/datavisor-conventions.yml
- type: Conformance
  url: conformance/datavisor-conformance.yml
- type: DomainSecurity
  url: security/datavisor-domain-security.yml
- type: LLMsTxt
  url: llms/datavisor-llms.txt
x-enrichment:
  date: '2026-08-01'
  status: enriched
  artifacts_added: 7
  pass: local-v1