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Chatbase

Chatbase is an AI customer-support and sales agent platform that allows businesses to build assistants using their own documents, website content and operational instructions. Its purpose is to help customers find answers and complete routine service tasks without requiring every conversation to begin with a human employee.

Teams can configure an agent's knowledge sources, instructions and supported actions, then make it available through website chat and other connected channels. Higher subscription tiers provide additional helpdesk, voice, API and business integration capabilities.

Chatbase currently advertises paid self-service subscriptions with introductory trials rather than a permanent public free tier. Businesses comparing plans should pay particular attention to which channels and integrations are available at each price point.

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Research-based profile using Chatbase's official product and pricing documentation reviewed on 5–6 November 2026. Descriptions reflect published capabilities and plan entitlements; no firsthand resolution-rate or accuracy testing is claimed.

Best For

  • Online businesses automating routine product, delivery and returns enquiries.
  • Customer service teams connecting an AI assistant to approved operational systems.
  • SaaS teams providing answers from product documentation and support resources.

Not Ideal For

  • Users seeking a permanent free customer-support chatbot subscription.
  • Hobby subscribers expecting API access, voice calling or advanced CRM integrations.
  • Organisations requiring open-source or self-hosted customer-support infrastructure.

How It Works

An organisation starts by providing approved documentation, website pages or other supported knowledge sources. Chatbase uses that information when responding to customer questions, while administrators can define procedures for common situations.

For more complex workflows, supported AI Actions can retrieve or update information in connected business systems. A customer might ask about an order, for example, and the agent could use an approved integration to request order status. Teams can test conversations, monitor results and provide human handoff where supported.

Automated support needs ongoing oversight. Businesses should keep source information current, restrict the agent's access to appropriate data and require review or escalation for sensitive decisions and actions.

Key Features

Knowledge-Grounded Customer Answers

  • Agents informed by approved files and website content.
  • Custom instructions and plain-language procedures.
  • Testing tools and conversation analytics.

Customer Service Workflows

  • Supported AI Actions for order, booking and information workflows.
  • Website and connected messaging-channel deployment.
  • Helpdesk and human handoff features on eligible plans.

Integrations and Administration

  • Business integrations including selected CRM and helpdesk services.
  • API and voice capabilities on qualifying subscriptions.
  • Advanced reporting, governance and enterprise access options.

Practical Workflows

  1. Order and returns assistance: Configure a support agent to request an order reference, check an approved order data source, explain the relevant return policy and escalate exceptions to a person.
  2. Multichannel knowledge support: Import product and help-centre documentation, test common and difficult customer questions, and deploy the approved agent across supported customer communication channels.
  3. Customer issue analysis: Review support conversations and available analytics to identify repeated questions, missing documentation and topics that require better agent instructions or human intervention.

Strengths & Limitations

Strengths

  • Combines company knowledge with configurable customer-facing AI agents.
  • Supports operational actions rather than only static question answering.
  • Offers several customer communication channels and integrations.
  • Provides testing and analytics for reviewing agent performance.

Limitations

  • No permanent public free subscription is currently advertised.
  • API, advanced integrations and voice capabilities require higher plans.
  • Message-credit usage can rise when workflows involve multiple model requests.
  • Human oversight remains necessary for sensitive decisions and customer complaints.

Pricing

Chatbase advertises a 7-day trial for its paid self-service plans. Hobby costs $40/month on monthly billing, or $32/month when billed annually, and includes 700 monthly message credits. Hobby supports basic agent capabilities but does not include API access, voice/telephony or several advanced helpdesk and CRM integrations.

Basic costs $150/month, or $120/month billed annually, with 4,000 monthly message credits. It unlocks API access, supported voice functionality, the Chatbase Helpdesk inbox and advanced integrations. Business costs $500/month, or $400/month billed annually, with 15,000 monthly message credits and additional capacity. Enterprise pricing is negotiated.

Subscription credits do not roll over, and actions requiring multiple model calls may consume more than one request's worth of credits. Published extras include $40 per 1,000 additional message credits, $25/month for an extra agent, and $99/month to remove Chatbase branding. Buyers should assess total costs using expected message volume, selected models and required integrations.

How It Compares

Choose Chatbase when a business needs a managed customer-facing AI agent using its documentation, instructions and connected workflows. Its main appeal is deploying an agent without building the underlying conversational software from scratch.

Consider Intercom Fin when evaluating AI support within a broader customer service platform, Tidio for a different live-chat and automation mix, or Botpress when more configurable agent-building workflows are important. Compare human escalation, channel access and the effective cost of resolving real customer requests.

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