UVeye
UVeye builds AI-powered automated vehicle inspection systems — "the MRI for cars" — that drive a vehicle through a scanning lane and produce a full condition report in seconds. Four scanning modules cover the vehicle: Artemis (tires and tread), Helios (undercarriage), Atlas (exterior body damage) and Apollo (interior). The systems are deployed across dealership service lanes, fleet and leasing depots, auctions and remarketing lots, rental returns, OEM manufacturing and logistics/PDI ports. UVeye exposes the resulting inspection data to third parties through the UVeye Public API v1 — inspection detail lookups by VIN, license plate, inspection id or barcode, latest-inspection discovery by site or site group, customer-facing public inspection links, appraisal/quote data, inspection imagery, and a Merchandise surface that ingests dealer inventory and pushes rendered multi-angle imagery back over a signed webhook. Headquartered in Teaneck, New Jersey with offices in Norcross GA, Tel Aviv and London.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles UVeye the way a machine reads it — 19 machine-readable artifacts across 5 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 — UVeye scores 61.8/100 (strong), with a separate agent-readiness read of 50/100 (agent ready). 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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</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile UVeye
Each block below is one kind of artifact we hold for UVeye. 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 5
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.
UVeye Appraisal API
Appraisal / quote data derived from an inspection.
UVeye Inspections API
Retrieve vehicle inspection data and the most recent inspections for a site or site group.
UVeye Media API
Inspection imagery.
UVeye Merchandise API
Submit dealer inventory for merchandising and mark vehicles sold.
UVeye Public Links API
Generate and record customer-facing public inspection links.
Open Collections 6
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONUVeye Public API v1 Appraisal API
OPEN COLLECTIONUVeye Public API v1 Inspections API
OPEN COLLECTIONUVeye Public API v1 Media API
OPEN COLLECTIONUVeye Public API v1 Merchandise API
OPEN COLLECTIONUVeye Public API v1 Public Links API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
uveye-mcp.yml
MCP SERVERRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Uveye Rate Limits
RATE LIMITSEvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Uveye Merchandise Webhooks
ASYNCAPISecurity Posture 4
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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for UVeye — 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.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 4
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/uveye · machine-readable index on apis.io
This is an independent, third-party profile of UVeye, 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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