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Abnormal AI website screenshot

Abnormal AI

Abnormal AI (formerly Abnormal Security) is a San Francisco based cloud email and human-behavior security company whose behavioral AI platform protects Microsoft 365 and Google Workspace against phishing, business email compromise, vendor fraud, account takeover and misdirected email. The platform is API-first: it integrates with Microsoft and Google over their APIs rather than by rewriting MX records, and every capability in the Abnormal Portal — threats, cases, AI Security Mailbox, employee and vendor insights, audit logs, RBAC roles and users, security posture management and dashboard aggregations — is also reachable through the Abnormal Security Client API, a bearer-token REST API published as OpenAPI 3.0.3 on SwaggerHub with separate US and EU production hosts. Abnormal also streams the same event data to SIEM and SOAR platforms over near-real-time webhooks.

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles Abnormal AI the way a machine reads it — 41 machine-readable artifacts across 17 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 — Abnormal AI scores 57.6/100 (strong), with a separate agent-readiness read of 45/100 (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 Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 57.6/100 · strong
Contract Quality 17.3 / 25
Developer Ergonomics 12.5 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 7.2 / 13
Governance 1.4 / 12
Discoverability 9.3 / 10
Agent readiness — 45/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 10
MCP Server derived 3.0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8.0 / 8
Request/Response Examples partial 3.5 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills derived 1.3 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Abnormal AI Kin Score — API readiness rating by API Evangelist

Put this on your own site. The badge is drawn live from Abnormal AI's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.

<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/abnormal/"
   title="Abnormal AI on API Evangelist — API profile and Kin Score">
  <img src="https://apis.io/badge/abnormal.svg"
       alt="Abnormal AI Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>

More shapes, themes and sizes → · Score as JSON · How badges work

How we profile Abnormal AI

Each block below is one kind of artifact we hold for Abnormal AI. 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 17

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.

Abnormal AI AI Security Mailbox (formerly known as Abuse Mailbox) API

API to manage AI Security Mailbox (formerly known as Abuse Mailbox)

Abnormal AI Audit Logs API

API to retrieve audit logs for Portal

Abnormal AI Cases API

APIs to manage Abnormal Cases

Abnormal AI Dashboard Aggregations API

APIs to manage Dashboard metrics

Abnormal AI Detection360 API

The Detection360 API from Abnormal AI — 1 operation(s) for detection360.

Abnormal AI Employee Insights API

API to manage employees

Abnormal AI Messages API

API to manage message details

Abnormal AI Resources API

The Resources API from Abnormal AI — 5 operation(s) for resources.

Abnormal AI Roles API

API to retrieve roles from RBAC system

Abnormal AI Search and Respond API

The Search and Respond API from Abnormal AI — 6 operation(s) for search and respond.

Abnormal AI Security Settings API

API to retrieve security settings including session timeout configuration

Abnormal AI SPM API

The SPM API from Abnormal AI — 6 operation(s) for spm.

Abnormal AI Threats API

APIs to manage threats notified in the Abnormal Threat Log

Abnormal AI Tokens API

API to manage SOAR API tokens

Abnormal AI URL Rewrite API

The URL Rewrite API from Abnormal AI — 1 operation(s) for url rewrite.

Abnormal AI Users API

API to retrieve users from RBAC system

Abnormal AI Vendors API

API to manage Vendorbase and threats from Vendors

Scroll within the panel for all 17 ·

Open Collections 18

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).

Scroll within the panel for all 18 ·

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.

abnormal-mcp.yml

MCP SERVER

Event 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.

Security 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.

Abnormal Authentication

http · 1 scheme

SECURITY

Abnormal Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Abnormal Vulnerability Disclosure

Hackerone · contact published

SECURITY

Abnormal Trust Center

SOC 2, ISO/IEC 27001, ISO/IEC 27701, ISO/IEC 42001:2023, CSA STAR, FedRAMP Moderate, GovRAMP, TX-RAMP, CMMC, Cyber Essentials Plus, CJIS, ITAR, VPAT

SECURITY

Resources

Every other property we hold for Abnormal AI — 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 4

MCP servers, agent skills, and machine-readable catalogs

Build 2

SDKs, sample code, and the tooling you integrate with

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 3

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/abnormal · machine-readable index on apis.io

Where this information came from

This is an independent, third-party profile of Abnormal AI, 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.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.