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Pricing sourced from Chatbase · Last verified March 2026
Chatbase offers a free plan with limited message credits for testing, with paid plans starting at $19/month for the Hobby tier. The Standard plan is $99/month, Pro is $399/month, and enterprise pricing starts around $500+/month with custom contracts. Each tier increases message credits, chatbot limits, team seats, and unlocks advanced features like AI actions, custom domains, and removal of Chatbase branding. Annual billing typically offers around a 20% discount compared to monthly.
Chatbase supports training on a wide range of data sources including website URLs (with automated crawling), PDF documents, Word files, plain text, Notion pages, Google Docs, and structured Q&A pairs. You can also add data programmatically via the REST API, which is useful for dynamic knowledge bases. The platform automatically chunks and indexes this content into a vector database for retrieval-augmented generation, and you can retrain or update the knowledge base at any time without rebuilding the agent.
Chatbase supports multiple large language models including OpenAI's GPT-4o, GPT-4, and GPT-3.5, Anthropic's Claude 3.5 Sonnet and Claude 3 Haiku, and Google's Gemini models. Users can select which model powers their agent depending on their needs — GPT-4o and Claude 3.5 for complex reasoning, or GPT-3.5/Haiku for faster, cheaper responses. Model choice affects both quality and message credit consumption, so premium models on lower tiers may drain quotas faster.
Yes, Chatbase provides native integrations with Slack, WhatsApp, Facebook Messenger, Zapier, Make (formerly Integromat), and Calendly, plus webhooks and a full REST API for custom integrations. The chatbot can be embedded on any website with a JavaScript snippet or as an iframe. For CRMs and helpdesks, integration typically happens via Zapier or custom webhooks, though native HubSpot and Salesforce connectors are available on higher tiers.
Chatbase is SOC 2 Type II certified and GDPR compliant, with data encrypted at rest and in transit. Conversations and training data are stored securely, and enterprise plans offer additional controls including data residency options, custom data retention policies, and DPA agreements. The platform does not train underlying foundation models on customer data — your proprietary information stays within your agent's private knowledge base.
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