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.
APIs
Lorikeet Conversations API
Programmatically create and continue conversations (support tickets) with the Lorikeet AI agent, post end-user and agent messages, and retrieve conversation state and resolution...
Lorikeet Messages API
Append and list messages within a conversation, carrying end-user input and the agent's replies. Messages are the unit that drives the workflow orchestration layer forward towar...
Lorikeet Webhooks & Events API
Register and manage webhook subscriptions and receive Lorikeet events (conversation created, updated, resolved, escalated / handoff). Lorikeet supports inbound HMAC-signed webho...
Lorikeet Actions & Tools API
Lorikeet's "tools" primitive - typed actions with defined inputs and outputs and optional JavaScript output transforms, built no-code in the UI - lets the agent call into your s...
Lorikeet Knowledge Ingestion API
Ingest and manage the knowledge sources (help-center articles, documents, URLs) the agent draws on when following workflows. Public materials confirm knowledge is a first-class ...