Chatbot API
Definition
A chatbot API exposes the chatbot's functionality as HTTP endpoints that can be called by any application with the appropriate credentials. Common API endpoints include: POST /messages (send a user message and receive a bot response), GET /conversations/{id} (retrieve conversation history), POST /sessions (create a new session), and admin endpoints for managing bot configuration. The API enables developers to build custom chat UIs, integrate chatbot functionality into mobile apps, or trigger bot interactions from backend workflows without being constrained to the platform's default widget.
Why It Matters
The chatbot API unlocks integration scenarios beyond what the default widget supports. A developer building a custom mobile app, a CRM integration, or an automated workflow can use the API to programmatically interact with the chatbot. The API also enables testing automation, content management scripts, and analytics data export. For enterprise deployments, API access is often a prerequisite for fitting the chatbot into complex existing technology stacks.
How It Works
API requests are authenticated with an API key or OAuth token. The client sends a POST request with the session ID, user message, and any metadata. The chatbot platform processes the message through its standard pipeline (NLU → dialogue → response generation → webhook calls) and returns a JSON response containing the bot's reply, any suggested actions, quick replies, and conversation metadata. SDKs in JavaScript, Python, and other languages wrap the raw HTTP API for easier integration.
Real-World Example
A developer building a mobile customer service app for iOS uses the 99helpers chatbot API to embed support directly in the native app. The app manages its own chat UI, sends user messages to the API, and renders bot responses according to iOS design guidelines — getting all the AI and knowledge base capabilities of the platform without being constrained to the web widget.
Common Mistakes
- ✕Not implementing API rate limiting on your consumer side — unthrottled API calls during traffic spikes can exceed platform limits and cause failures.
- ✕Exposing the chatbot API key in client-side JavaScript — API keys should always be kept server-side and proxied through a secure backend.
- ✕Not versioning API integrations — when the chatbot platform updates its API, unversioned integrations may break silently.
Related Terms
Conversation API
A Conversation API is a specialized API that manages the full lifecycle of a conversation — creating sessions, sending and receiving messages, retrieving history, and managing conversation state — providing a structured interface for building conversational applications without managing the underlying infrastructure.
Webhook Integration
A webhook integration connects a chatbot to external systems by sending real-time HTTP POST requests when specific events occur. Rather than polling for data, the chatbot can trigger actions in CRMs, ticketing systems, databases, or third-party APIs — enabling automated workflows that go beyond answering questions.
Chatbot Deployment
Chatbot deployment is the process of making a chatbot available to end users — publishing it to a website, messaging platform, or application. It involves configuring channels, setting up infrastructure, connecting integrations, and releasing the bot into production in a controlled, testable way.
Chatbot Platform
A chatbot platform is a software suite that provides the tools, infrastructure, and integrations needed to build, deploy, and manage AI chatbots. It typically includes a visual bot builder, NLP engine, channel connectors, analytics dashboard, and knowledge base integration — enabling teams to launch chatbots without building every component from scratch.
Channel Integration
Channel integration is the process of deploying a chatbot across multiple communication platforms — website widgets, WhatsApp, Slack, SMS, Facebook Messenger, email, and more. A well-integrated chatbot delivers a consistent experience regardless of which channel the user chooses, meeting customers where they already are.
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