Lorikeet website screenshot

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 Artificial Intelligence, Customer Support, AI Agents, Support Automation, and Workflows.

Lorikeet’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
30.9/100 thin ▬ flat Agent 45/100 agent ready Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-10-04 · rubric v0.23.0
AccessEnterprise
1 published contract 1 MCP Servers
Artificial IntelligenceCustomer SupportAI AgentsSupport AutomationWorkflowsHelp Desk

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-04 · rubric v0.23.0
Composite quality — 30.9/100 · thin
Contract Quality 8.6 / 19
Developer Ergonomics 3.8 / 15
Access Clarity 4.0 / 15
Operational Transparency 2.8 / 10
Contract Governance 0.0 / 9
Discoverability 5.1 / 8
Regulatory Posture 1.6 / 15
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 45/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 6 / 6
Protected Resource Metadata 5 / 5
Registration Without a Human 6 / 6
Agentic Commerce Well-Known Document 0 / 5
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
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 themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
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 maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/lorikeet: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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 6

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Lorikeet Conversations API

OPEN COLLECTION

Lorikeet Conversations Knowledge API

OPEN COLLECTION

Lorikeet Conversations Messages API

OPEN COLLECTION

Lorikeet Conversations Webhooks API

OPEN COLLECTION

Lorikeet API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Lorikeet MCP Server

Remote MCP server at mcp.lorikeetcx.ai over HTTP.

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Lorikeet Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Lorikeet Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Lorikeet Finops

FINOPS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Lorikeet Authentication

http · 1 scheme

SECURITY

Lorikeet Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Lorikeet Agentic Access

13 operations · 7 acting

13 operations · 7 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits
RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans
Plans
 FinOps
FinOps

Company 3

The organization behind the API

LinkedIn
LinkedIn
 Website
Website
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap
CapabilityMap

Source (apis.yml)

apis.yml Raw ↑ 
aid: lorikeet
url: https://raw.githubusercontent.com/api-evangelist/lorikeet/refs/heads/main/apis.yml
name: Lorikeet
kind: company
description: 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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lorikeet.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Artificial Intelligence
- Customer Support
- AI Agents
- Support Automation
- Workflows
- Help Desk
tags_raw:
- AI
- Customer Support
- AI Agent
- Support Automation
- Workflows
- Helpdesk
- Customer-Support
created: '2026-07-01'
modified: '2026-07-01'
specificationVersion: '0.23'
apis:
- aid: lorikeet:lorikeet-conversations-api
  name: Lorikeet Conversations API
  description: Create, continue, and inspect AI-agent-handled support conversations.
  humanURL: https://docs.lorikeetcx.ai/guides/quickstart
  baseURL: https://api.lorikeetcx.ai/v1
  tags:
  - Conversations
  properties:
  - type: OpenAPI
    url: openapi/lorikeet-conversations-api-openapi.yml
  - type: Documentation
    url: https://docs.lorikeetcx.ai/guides/quickstart
  - type: PostmanCollection
    url: collections/lorikeet.postman_collection.json
  - type: OpenCollection
    url: collections/lorikeet.opencollection.json
  - type: Documentation
    url: https://www.lorikeetcx.ai/articles/ai-support-secure-api-webhook-integrations-2026
- aid: lorikeet:lorikeet-knowledge-api
  name: Lorikeet Knowledge API
  description: Ingest and manage knowledge sources the agent reasons over.
  humanURL: https://docs.lorikeetcx.ai/guides/quickstart
  baseURL: https://api.lorikeetcx.ai/v1
  tags:
  - Knowledge
  properties:
  - type: OpenAPI
    url: openapi/lorikeet-knowledge-api-openapi.yml
  - type: Documentation
    url: https://docs.lorikeetcx.ai/guides/quickstart
  - type: PostmanCollection
    url: collections/lorikeet.postman_collection.json
  - type: OpenCollection
    url: collections/lorikeet.opencollection.json
  - type: Documentation
    url: https://www.lorikeetcx.ai/articles/ai-support-secure-api-webhook-integrations-2026
- aid: lorikeet:lorikeet-messages-api
  name: Lorikeet Messages API
  description: Post and list messages within a conversation.
  humanURL: https://docs.lorikeetcx.ai/guides/quickstart
  baseURL: https://api.lorikeetcx.ai/v1
  tags:
  - Message
  tags_raw:
  - Messages
  properties:
  - type: OpenAPI
    url: openapi/lorikeet-messages-api-openapi.yml
  - type: Documentation
    url: https://docs.lorikeetcx.ai/guides/quickstart
  - type: PostmanCollection
    url: collections/lorikeet.postman_collection.json
  - type: OpenCollection
    url: collections/lorikeet.opencollection.json
  - type: Documentation
    url: https://www.lorikeetcx.ai/articles/ai-support-secure-api-webhook-integrations-2026
- aid: lorikeet:lorikeet-webhooks-api
  name: Lorikeet Webhooks API
  description: Manage webhook subscriptions and receive Lorikeet events.
  humanURL: https://docs.lorikeetcx.ai/guides/quickstart
  baseURL: https://api.lorikeetcx.ai/v1
  tags:
  - Webhook
  tags_raw:
  - Webhooks
  properties:
  - type: OpenAPI
    url: openapi/lorikeet-webhooks-api-openapi.yml
  - type: Documentation
    url: https://docs.lorikeetcx.ai/guides/quickstart
  - type: PostmanCollection
    url: collections/lorikeet.postman_collection.json
  - type: OpenCollection
    url: collections/lorikeet.opencollection.json
  - type: Documentation
    url: https://www.lorikeetcx.ai/articles/ai-support-secure-api-webhook-integrations-2026
common:
- type: CapabilityMap
  url: capabilities/lorikeet-capability-edges.yml
  name: Lorikeet Business Capability Map
- type: AgenticAccess
  url: agentic-access/lorikeet-agentic-access.yml
- type: DomainSecurity
  url: security/lorikeet-domain-security.yml
- type: Authentication
  url: authentication/lorikeet-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/lorikeetcx
- type: Website
  url: https://lorikeet.ai
- type: Documentation
  url: https://docs.lorikeetcx.ai/guides/quickstart
- type: Plans
  url: plans/lorikeet-plans-pricing.yml
- type: RateLimits
  url: rate-limits/lorikeet-rate-limits.yml
- type: FinOps
  url: finops/lorikeet-finops.yml
- url: https://www.lorikeetcx.ai/articles
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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