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 1 API contract indexed on the APIs.io network: Tools API. Tagged areas include Artificial Intelligence, Customer Service, AI Agents, Support Automation, and Workflows.

The Lorikeet catalog on APIs.io includes 1 Spectral governance ruleset.

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

🌐 Visit website 📡 Profile data on GitHub

26.1/100 emerging ▬ flat Agent 59/100 agent ready Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessEnterprise

1 published contract 1 MCP Servers

Artificial Intelligence Customer Service AI Agents Support Automation Workflows Help Desk

What this lets a business do 2

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Customer Service Management

BC-430

ConversationsMessages

Developer Platform & API Ecosystem Management

BC-4270

Webhooks

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 26.1/100 · emerging

Contract Quality 9.8 / 19

Developer Ergonomics 3.8 / 15

Access Clarity 0.6 / 15

Operational Transparency 0.7 / 10

Contract Governance 1.2 / 9

Discoverability 5.1 / 8

Regulatory Posture 0.8 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 59/100 · 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 8 / 8

Request/Response Examples 7 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too Ask about this →
Agent Skills +5 pts — skills artifact present, graded by who authored it Ask about this →
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's Ask about this →

3 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 4.3 — up to +19.1 composite points Ask about this →
Developer Ergonomics scores 25.0 — up to +15.0 composite points Ask about this →
Operational Transparency scores 7.1 — up to +12.1 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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 the provider profile at artifacts.apis.io/lorikeet/apis.yml: open an issue on github.com/api-evangelist/lorikeet to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 4

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Lorikeet Tools API

The Tools API from Lorikeet — 19 operation(s) for tools.

Open Collections 5

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

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

Lorikeet API pricing

Not yet checked against Lorikeet's own pricing page. Compiled by API Evangelist on 2026-07-01 from lorikeet.ai; confirm before you rely on a figure.

Plan	Price
Enterprise (sales-quoted) enterprise	—

Plan details, limits and sources →

Rate limits

Conversations API (requests): see provider (account/contract governed) requests
Messages API (requests): see provider (account/contract governed) requests
Webhook Deliveries: see provider events

Compiled by API Evangelist, not yet checked against Lorikeet's documentation. All 4 limits →

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

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Lorikeet API Rules

61 rules · 50 error-severity 6 warn-severity 5 info-severity

SPECTRAL

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 (API Evangelist recommendations) 1

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

Lorikeet Agentic Access

32 operations · 24 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

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

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: '2026-11-13'
  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 Service
- 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-tools-api
  name: Lorikeet Tools API
  description: The Tools API from Lorikeet — 19 operation(s) for tools.
  humanURL: https://docs.lorikeetcx.ai/guides/quickstart
  baseURL: https://www.lorikeet.tools
  tags:
  - Tools
  properties:
  - type: OpenAPI
    url: openapi/lorikeet-tools-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

Lorikeet API — frequently asked questions

Does Lorikeet have an API?

Yes. APIs.io lists 1 API from Lorikeet, including Lorikeet Tools API.

Is there an OpenAPI specification for the Lorikeet API?

Yes. APIs.io indexes 1 OpenAPI specification for Lorikeet, each linked for download from this page.

How do I authenticate with the Lorikeet API?

Lorikeet documents its authentication (http · 1 scheme). The details are profiled on APIs.io as Lorikeet Authentication.

How much does the Lorikeet API cost?

APIs.io lists 1 pricing plan for Lorikeet, with each plan's price, limits and inclusions under Pricing on this page.

Does Lorikeet have an MCP server?

Yes. APIs.io lists 1 MCP server for Lorikeet: Remote MCP server at mcp.lorikeetcx.ai over HTTP.

Is the Lorikeet API ready for AI agents?

Lorikeet has a Kin Score of 26.1 out of 100 (emerging) and an Agent Readiness score of 58.8 (agent-ready), scored by API Evangelist on 2026-11-13.

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