Lorikeet
Lorikeet (Lorikeet CX) is an AI customer support agent built for complex and regulated businesses across chat, email, and voice. Rather than a single chatbot, it uses a workflow / "skills"-based orchestration layer that follows a company's standard operating procedures, calls into helpdesks (Zendesk, Intercom, Front) and internal systems through typed, no-code tools, and produces a per-step audit trail. Its programmatic surface centers on conversations, inbound and outbound webhooks / events, actions/tools, and knowledge ingestion, secured with scoped Bearer/API-key credentials. Full API reference is gated behind an access code, so endpoint detail below is modeled from Lorikeet's public integration and security materials and marked where unconfirmed.
Lorikeet publishes 4 APIs on the APIs.io network, including Conversations API, Knowledge API, Messages API, and 1 more. Tagged areas include AI, Customer Support, AI Agent, Support Automation, and Workflows.
Lorikeet’s developer surface includes authentication, documentation, engineering blog, and 7 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Lorikeet Conversations API
Create, continue, and inspect AI-agent-handled support conversations.
Lorikeet Knowledge API
Ingest and manage knowledge sources the agent reasons over.
Lorikeet Messages API
Post and list messages within a conversation.
Lorikeet Webhooks API
Manage webhook subscriptions and receive Lorikeet events.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Lorikeet API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Lorikeet Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Lorikeet Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API