Kore.ai
Kore.ai is an enterprise conversational and agentic AI platform used to build, deploy, govern and observe AI agents for customer experience and employee experience work — contact center automation, voice AI, IT and HR service desks, agent assist, quality assurance and no-code agent orchestration. The company ships two API estates. The newer Agent Platform ("Artemis") on agents.kore.ai exposes an ABL Runtime API for chat, streaming, workflow invocation and session usage, an Agent Blueprint Language (ABL) DSL, and a 45-tool stdio MCP server (@koreai/arch-mcp-tools) that turns the platform's own control plane into agent tooling. The longer-established AI for Service estate on platform.kore.ai exposes a large REST surface across Automation AI, Search AI, Contact Center AI, Agent AI, Quality AI and Case Management, authenticated with JWT apps and governed by an assigned API-scope model. Kore.ai is headquartered in Orlando, Florida and is recognized as a Leader in the Gartner Magic Quadrant for Conversational AI, the Forrester Wave for Conversational AI Platforms and the Everest Group PEAK Matrix for Agentic AI Products.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Kore.ai the way a machine reads it — 12 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 — Kore.ai scores 59.9/100 (strong), with a separate agent-readiness read of 51/100 (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 2026-08-24 · rubric v0.12.1
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How we profile Kore.ai
Each block below is one kind of artifact we hold for Kore.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 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.
Kore.ai Agent Platform ABL Runtime API — Conversation
Deployment-scoped conversation operations for agents built on the Kore.ai Agent Platform: send a message to a deployed agent, run a one-shot completion, and stream an agent resp...
Kore.ai Agent Platform ABL Runtime API — Workflows
Invoke and execute deployed Kore.ai Agent Platform workflows, execute a pinned workflow version, and poll asynchronous workflow execution status.
Kore.ai Agent Platform ABL Runtime API — Sessions
Read usage metrics for a Kore.ai Agent Platform project, with optional date range and grouping.
Kore.ai AI for Service Platform APIs
The AI for Service REST estate — Automation AI (bot lifecycle, NLP training, analytics, admin, data tables), Search AI (answer generation, content and chunk management, ingestio...
Kore.ai Arch MCP Server
A stdio Model Context Protocol server, @koreai/arch-mcp-tools, that exposes the Kore.ai Agent Platform control plane to an MCP client as 45 tools across build, evaluate, optimiz...
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.
Kore.ai MCP Server
MCP SERVERPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Koreai Plans Pricing
PLANSRate 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.
Koreai 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.
Koreai Webhooks
ASYNCAPISecurity Posture 3
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.
Koreai Trust Center
SOC 2 Type 2, PCI DSS, ISO/IEC 27001:2022, GDPR, CCPA, EU AI Act, DESC Cloud Service Provider
SECURITYResources
Every other property we hold for Kore.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.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 8
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 8 ·
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/koreai · machine-readable index on apis.io
This is an independent, third-party profile of Kore.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.
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