VBOUT
VBOUT is an AI-enabled marketing automation platform used by agencies and small-to-mid-size businesses to run email marketing, social media scheduling, landing pages, popups, lead scoring, and an AI chatbot from one place. The VBOUT REST API (v1.0 at api.vbout.com/1) exposes the platform programmatically — contacts, lists, audiences, email campaigns and stats, social channels, calendar and posts, conversion goals, sub-users and groups, on-site engagement actions, automations, pipeline boards, and account settings — authenticated with an account API key, with responses in JSON or XML and a documented 15 requests/second rate limit. VBOUT is a 500 Global portfolio company.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles VBOUT the way a machine reads it — 20 machine-readable artifacts across 15 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 — VBOUT scores 48.1/100 (developing), with a separate agent-readiness read of 76/100 (agent native). 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 2026-07-27 · rubric v0.5
How we profile VBOUT
Each block below is one kind of artifact we hold for VBOUT. 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 15
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.
VBOUT Account API
The Account API from VBOUT — 2 operation(s) for account.
VBOUT AIchatbot API
The AIchatbot API from VBOUT — 4 operation(s) for aichatbot.
VBOUT Application API
The Application API from VBOUT — 1 operation(s) for application.
VBOUT Automation API
The Automation API from VBOUT — 2 operation(s) for automation.
VBOUT Contact API
The Contact API from VBOUT — 18 operation(s) for contact.
VBOUT Email Marketing API
The Email Marketing API from VBOUT — 10 operation(s) for email marketing.
VBOUT EmailMarketing API
The EmailMarketing API from VBOUT — 25 operation(s) for emailmarketing.
VBOUT Goals API
The Goals API from VBOUT — 6 operation(s) for goals.
VBOUT Help API
The Help API from VBOUT — 1 operation(s) for help.
VBOUT Pipeline API
The Pipeline API from VBOUT — 3 operation(s) for pipeline.
VBOUT Popups API
The Popups API from VBOUT — 5 operation(s) for popups.
VBOUT Settings API
The Settings API from VBOUT — 8 operation(s) for settings.
VBOUT Social Media API
The Social Media API from VBOUT — 7 operation(s) for social media.
VBOUT SocialMedia API
The SocialMedia API from VBOUT — 7 operation(s) for socialmedia.
VBOUT Users & Workflow API
The Users & Workflow API from VBOUT — 9 operation(s) for users & workflow.
Scroll within the panel for all 15 ·
MCP 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.
vbout-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.
Vbout Rate Limits
RATE LIMITSSecurity 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.
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 VBOUT — 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 3
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 2
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
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