DataVisor

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