Inkeep

Inkeep is an AI support and agent platform for documentation and products. Its developer platform exposes an OpenAI-compatible RAG / chat completions API over your own content, an Analytics API for logging conversations, feedback, and events, and an Agents / management surface for building and operating AI agents and copilot experiences.

3 APIs 0 Features

AISupportRAGAgentsDocumentation

APIs

Inkeep Chat Completions (RAG) API

OpenAI-compatible chat completions endpoint that runs retrieval-augmented generation over your own content. Modes (inkeep-qa, inkeep-context, inkeep-rag, inkeep-base) are select...

Inkeep Analytics API

Logs and retrieves OpenAI-compatible conversations, captures end-user feedback, and records custom interaction events (answer_copied, chat_shared) so usage and quality are viewa...

Inkeep Agents / Management API

REST management surface for the Inkeep Agents framework - create and operate agents, sub-agents, projects, tools, MCP servers, conversations, and feedback for building no-code o...

Collections

Inkeep AI & Analytics API

OPEN

Pricing Plans

Inkeep Plans Pricing

4 plans

PLANS

Rate Limits

Inkeep Rate Limits

5 limits

RATE LIMITS

FinOps

Inkeep Finops

FINOPS

Event Specifications

Inkeep Chat Completions Streaming (HTTP + SSE)

AsyncAPI 2.6 description of Inkeep's **chat completion streaming** surface. Inkeep does not publish a WebSocket API. The only asynchronous / event-style transport documented at ...

ASYNCAPI

Resources

👥

GitHubOrganization

Sources

opencollection: 1.0.0
info:
  name: Inkeep AI & Analytics API
  version: '1.0'
request:
  auth:
    type: bearer
    token: '{{bearerToken}}'
items:
- info:
    name: Chat
    type: folder
  items:
  - info:
      name: Create a RAG chat completion
      type: http
    http:
      method: POST
      url: https://api.inkeep.com/v1/chat/completions
      body:
        type: json
        data: "{\n  \"model\": \"inkeep-qa-expert\",\n  \"messages\": [\n    { \"role\": \"user\", \"content\": \"How do I\
          \ get started?\" }\n  ],\n  \"stream\": false\n}"
    docs: OpenAI-compatible RAG chat completion. Set model to an Inkeep mode (inkeep-qa, inkeep-context, inkeep-rag, inkeep-base)
      and stream:true for SSE.
- info:
    name: Analytics
    type: folder
  items:
  - info:
      name: Log a conversation
      type: http
    http:
      method: POST
      url: https://api.inkeep.com/v1/conversations
      body:
        type: json
        data: "{\n  \"type\": \"openai\",\n  \"messages\": [\n    { \"role\": \"user\", \"content\": \"How do I get started?\"\
          \ },\n    { \"role\": \"assistant\", \"content\": \"Here is how to get started...\" }\n  ]\n}"
    docs: Log an OpenAI-compatible conversation to the Analytics service.
  - info:
      name: Fetch a conversation
      type: http
    http:
      method: GET
      url: https://api.inkeep.com/v1/conversations/:id
    docs: Fetch a previously logged conversation by id.
  - info:
      name: Log feedback
      type: http
    http:
      method: POST
      url: https://api.inkeep.com/v1/feedback
      body:
        type: json
        data: "{\n  \"type\": \"positive\",\n  \"messageId\": \"<message_id>\"\n}"
    docs: Log positive or negative end-user feedback for a logged message.
  - info:
      name: Log a custom event
      type: http
    http:
      method: POST
      url: https://api.inkeep.com/v1/events
      body:
        type: json
        data: "{\n  \"type\": \"answer_copied\",\n  \"conversationId\": \"<conversation_id>\"\n}"
    docs: Log a custom user-interaction event such as answer_copied or chat_shared.