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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles DataVisor the way a machine reads it — 4 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — DataVisor scores 23.1/100 (emerging), with a separate agent-readiness read of 9/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-08-17 · rubric v0.11.0
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title="DataVisor on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/datavisor.svg"
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</a>[](https://providers.apievangelist.com/providers/datavisor/)<!-- Kin Score · API Evangelist -->
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title="DataVisor on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/datavisor/card.svg"
alt="DataVisor Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile DataVisor
Each block below is one kind of artifact we hold for DataVisor. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
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...
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for DataVisor — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 6
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/datavisor · machine-readable index on apis.io
This is an independent, third-party profile of DataVisor, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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