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.
Kore.ai publishes 5 API contracts indexed on the APIs.io network, including AI for Service Platform APIs, Chat API, Conversation API, and 2 more. Tagged areas include Company, Artificial Intelligence, Conversational AI, Agents, and Agent Platform.
The Kore.ai catalog on APIs.io includes 1 event-driven AsyncAPI specification and 1 Spectral governance ruleset.
Kore.ai’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, signup flow, changelog, and 37 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
AI & Biometrics regime, so
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Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it
carries 10 points of the composite. It is scored from the published contracts
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The six quality facets above are damped to 75 points between them,
because the conditional facet above carries the other
25. That is why each facet's contribution is shown against a damped
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Agent readiness — checks not met, largest first (exact, from this profile):
Delegated User Identity+6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →
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The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
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Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
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...
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...
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