DataVisor

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.

DataVisor is listed with 2 APIs on the APIs.io network. Tagged areas include Company, Fraud Prevention, AML, Financial Crime, and Risk Management.

DataVisor’s developer surface includes pricing, documentation, API reference, support, engineering blog, authentication, and 19 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

24.7/100 emerging ▬ flat Agent 3/100 human only Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessEnterprise

2 APIs

Company Fraud Prevention AML Financial Crime Risk Management Machine Learning Artificial Intelligence Device Intelligence Banking Payments Compliance

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 24.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.1 / 17

Access Clarity 8.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 5.5 / 9

Regulatory Posture 2.7 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Banking & Open Finance regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →
Developer Ergonomics scores 35.7 — up to +12.9 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/datavisor/apis.yml: open an issue on github.com/api-evangelist/datavisor to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

DataVisor Fraud and Risk Platform API

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 ...

DataVisor dEdge Device Intelligence WebAPI

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...

DataVisor API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

DataVisor Plans Pricing

0 plans

PLANS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

DataVisor

12 quoted statements, read from DataVisor's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

DataVisor

11 quoted statements, read from DataVisor's own page on 2026-11-09.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

DataVisor

5 quoted statements, read from DataVisor's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

DataVisor

1 quoted statement, read from DataVisor's own page on 2026-11-09.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

DataVisor

1 quoted statement, read from DataVisor's own page on 2026-11-09.

LICENSE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

DataVisor Authentication

apiKey · 2 schemes

SECURITY

DataVisor Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

AIPreferences

AIPreferences

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Conformance

Conformance

Access & Security 3

Authentication, authorization, and security posture

Compliance

Compliance

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 6

Pricing, plans, and the legal terms of use

Pricing

Plans

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 6

The organization behind the API

Website

Blog

About

Careers

LinkedIn

Partners

Partners

Other 3

Properties that don't map to a standard resource type

Marketplace

Marketplace

DataProcessing

DataProcessing

Eligibility

Eligibility

Source (apis.yml)

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.'
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
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: '0.23'
created: '2026-08-01'
modified: '2026-08-01'
tags:
- Company
- Fraud Prevention
- AML
- Financial Crime
- Risk Management
- Machine Learning
- Artificial Intelligence
- Device Intelligence
- Banking
- Payments
- Compliance
tags_raw:
- Company
- Fraud Detection
- Fraud Prevention
- Anti-Money Laundering
- Financial Crime
- Risk Management
- Machine Learning
- Artificial Intelligence
- Device Intelligence
- Banking
- Payments
- Compliance
- Machine-Learning
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 Prevention
  - Risk Management
  - Machine Learning
  tags_raw:
  - Fraud Detection
  - Risk Management
  - Machine Learning
  - 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 Prevention
  tags_raw:
  - 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: Pricing
  url: https://www.datavisor.com/intelligence-center/ebooks/fraud-prevention-pricing-infographic
- type: Plans
  url: plans/datavisor-plans-pricing.yml
- 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
- type: UsageTerms
  url: terms/datavisor-terms-of-service.yml
- type: DataProcessing
  url: privacy/datavisor-privacy-policy.yml
- type: Eligibility
  url: eligibility/datavisor-eligibility.yml
- type: AIPreferences
  url: ai-preferences/datavisor-ai-preferences.yml
- type: DataLicense
  url: data-license/datavisor-data-license.yml
x-enrichment:
  date: '2026-08-01'
  status: enriched
  artifacts_added: 7
  pass: local-v1

DataVisor API — frequently asked questions

Does DataVisor have an API?

Yes. APIs.io lists 2 APIs from DataVisor, including DataVisor Fraud and Risk Platform API and DataVisor dEdge Device Intelligence WebAPI.

How do I authenticate with the DataVisor API?

DataVisor uses bearer-token authentication (apiKey · 2 schemes). The details are profiled on APIs.io as DataVisor Authentication.

Is the DataVisor API ready for AI agents?

DataVisor has a Kin Score of 24.7 out of 100 (emerging) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-13.

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